Draft Kpi Report Presentation - 250109

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    Experience you can trust.

    Confidential

    Presentation of the KPI Report

    Riyadh, 25 January 2009

    Dr. Viren Ajodhia

    Mr. Daniel dHoop

    Dr. Jan Lefers

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    Presentation Outline

    Welcome and Project Background KPI Recommendations + Discussion:

    Generation

    Transmission

    Distribution

    Customer Service

    Final KPI list

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    Project Background

    Development of Key Performance Indicators for the ElectricityGeneration, Transmission, Distribution and Customer Service

    Activities of the Kingdom of Saudi Arabia

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    KPI Report

    Review existing performance in the KSA Review international practices for KPI application

    Define main parameters of KPI framework

    International and local data collection

    Propose KPI System for the KSA

    Recommend suitable KPIs

    Definitions and computations

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    Generation

    Introduction International Practices

    Existing KPIs in Saudi Arabia

    Answers on comments

    Recommended KPIs

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    Generation International Practices

    Key Performance Indicator Texas,(

    USA)

    California,(

    USA)

    PJM(USA)

    Netherlands

    Malaysia

    South(Aust

    ralia)

    Victoria(Australia)

    SouthKorea

    Jordan

    Availability Factor

    Capacity Factor

    Heat Rate

    Forced outage factor Scheduled outage factor Equivalent outage factor Starting Failure Health, Safety andEnvironment

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    Generation Saudi Arabia

    Performance Indicators SEC Marafiq SWCC Saudi

    Aramco

    Annual Heat Rate (AHR) X X X X

    Planned Outage Factor (POF) X X

    Forced Outage Factor (FOF) X X

    Forced Outage Rate (FOR) X X

    Maintenance Outage Factor (MOF) X X

    Scheduled Outage Factor (SOF) X X

    Availability Factor (AF) X X X

    Service Factor (SF) X X

    Gross Capacity Factor (GCF) X X X

    Gross Output Factor (GOF) X X

    Average Run Time (ART) X

    Starting Reliability (SR) X

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    Definitions and mathematicalequations according to NERC-GADS

    and IEEE-762

    Definitions are already in use by SEC

    Remarks of SEC on a few definitions are useful and will

    be added to report.Possibility of adding the definitions used SEC as

    Appendix to the report

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    Saudi Aramco-KPI

    Power Incidents and Reliability Date Base Availability index (total running hours/total period

    hours)

    Reliability index (total period hours-interruption

    hours/total period hours)

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    Comments of ECRA, SEC ,Marafiq,Saudi Aramco, SWCC

    Reduction of KPIs

    Weighted pooling of units

    Heat rate

    Outages (SOF, POF, MOF) Environment-Standards

    Environmental Regulation

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    Generation RecommendationsTable 2.6 Recommended KPIs for Generation.

    KPI Unit Level

    General information

    G1 Age of unit Years UnitG2 Technology Unit

    G3 Fuel base Unit

    G4 Gross Maximum Capacity (GMC) MW Unit

    G5 Net Maximum Capacity (NMC) MW Unit

    Operational aspects

    G6 Annual Heat Rate (AHR) Btu/kWh Unit

    G7 Availability Factor (AF) % Unit

    G8 Service Factor (SF) % Unit

    G9 Forced Outage Factor (FOF) % Unit

    G10 Scheduled Outage Factor (SOF) % Unit

    G11 Equivalent Forced Outage Rate (EFOR) % Unit

    G12 Starting Reliability (SR) % Unit

    Capacity

    G13 Gross Actual Generation (GAG) MWh Unit

    G14 Net Actual Generation (NAG) MWh Unit

    G15 Gross Capacity Factor % Unit

    G16 Net Capacity Factor % Unit

    Health, Safety and Environment

    G17 Lost time injury frequency rate (LTIFR) inc. / mln hours Company

    G18 Medical treatment injury frequency rate (MTIFR) inc. / mln hours Company

    G1-G5,

    G13,G14 are

    physical data

    of the unit

    and no Key

    Performance

    Indicators

    Butbackground

    information

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    Weighted pooling of units procompany Weighted statistics is recommended for a group of units

    with different capacity

    Larger units have more impact than smaller units

    Remark:

    Mathematical equations for calculations will be added in the

    report

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    Heat rate is influenced by:

    Effect of ambient conditions is large on heat rate

    Technology (simple cycle, combined cycle, steam cycle,

    diesel generators, cogeneration)

    Fuel type (diesel, gas, crude)

    Capacity of units (large units have lower heat rate than

    small units)

    Net heat rate is not always available. Heat rate on unit

    level is not always available

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    Heat rate-Indicative effect of ambientconditions

    Steam cycle Gas turbine Combined Cycle

    10 K increase in cooling watertemperature

    +2% no impact +0.5% to +1.2%

    10 K increase in ambienttemperature

    no impact +1.5 to +2% +0.3% to + 0.6%

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    Heat rate-Effect of fuel typeGE MS7001-SEC-WOA

    11,952 kJ/kWh (diesel)

    13,894 kJ/kWh (crude oil)

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    Heat Rate

    Heat rate is not used as performance indicator in

    liberalised markets by regulators. It is used by plant

    managers to reduce operational costs (fuel costs).

    High fuel prices/market fuel prices will encourage plant

    operators to implement efficient technologies.

    Heat rate is depending on many factors and benchmarking

    can only be carried out by comparing units under

    equal/identical conditions.

    Proposal heat rate is not a KPI for regulators but have to be

    submitted to ECRA for background information

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    Fuel consumption in KSA is high

    Solo gas turbines in KSA have a high service factor and a

    high capacity factor compared to international standards.

    This implies that solo gas turbines are used as load

    following units/medium load and not as peak load.

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    Outages

    SEC is proposing to use maintenance outage factor (MOF)

    and planned outage factor (POF). KEMA has proposed

    SOF(=MOF+POF)

    Maintenance outage is an outage scheduled on the

    short term f.i. next weekend

    Planned outage is scheduled well in advance

    The distinction between PO and MO is practical from

    operational point view such planning (power plants

    and TSO)

    EFOR is taken into account deration when units are

    operating at reduced capacity.

    K P f I di t

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    Key Performance IndicatorsKey Performance Indicator Unit Target

    G1 Availability Factor % Yes

    G2 Service Factor % No

    G3 Forced Outage Factor (FOF) % Yes

    G4 Scheduled Outage Factor (FOF) % No

    Planned Outage Factor (POF) % No

    Maintenance Outage Factor (MOF) % No

    G5 Equivalent Forced Outage Rate (EFOR) Not available yet Yes

    G6 Starting Reliability % Yes

    G7 Gross Capacity Factor % No

    G8 Net Capacity Factor % No

    Physical plant data-background

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    Physical plant data-backgroundinformationData Unit Target

    Age of unit Years No

    Technology SC,CCGT,ST, Cogeneration No

    Fuel base Natural gas, Diesel, Crude oil No

    Gross Maximum Capacity (GMC) MW No

    Net Maximum Capacity (NMC) MW No

    Gross Actual Generation (GAG MWh No

    Net Actual Generation MWh No

    Annual heat rate Btu/kWh No

    HSE (Lost time injury fre. rate &

    Medical treatment injury fre. rate

    No

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    Physical plant data-backgroundinformation Environmental data have to be submitted in near future to

    Presidency of Meteorology and Environment and ECRA

    These data are more related to procedures, environmental

    protection standards, permits and licenses.

    Data have to be monitored by ECRA.

    This is Environmental Regulation and this should treated

    separately including reporting (similar as Price Regulation)

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    Units have to be categorised forbenchmarking and different targets will

    be defined Solo gas turbines

    Combined cycle

    Steam cycles

    Diesel generators

    Cogeneration (steam production for desalination,

    industries etc.)

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    Transmission

    1. Introduction

    2. International Practices

    3. Existing KPIs in Saudi Arabia

    4. Recommended KPIs

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    Transmission- 1. Introduction

    Where to monitor the performance:

    At the output (continuity of deliveries to the distribution) ?At an intermediate level (availability of components) ?

    At both levels

    At none

    Classic theory of regulation of systems: output signal is regulated

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    Transmission- 1. Introduction

    Transmission: Delivery Points supplied by a meshed networkwhere N-1 and other security rules (margins) make the service

    continuity much better than for distribution networks.

    Hence TSO regulation less common than DNO regulation:TSO regulation is sometimes done through approval (or not) of

    reinforcement plans that lead to an improved or optimized

    reliability/continuity level.

    T i i 1 I d i

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    Transmission- 1. Introduction

    Specific difficulty of TSOs: continuity performance depends on

    Historical parameters (not linkable to current regulation rules)

    External constraints

    Managerial factors

    T i i 1 I t d ti

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    Transmission- 1. Introduction

    Specific difficulty of TSOs: continuity performance depends on

    Historical parameters (not linkable to current regulation rules) Length and nature of the network (mostly aerial)

    Design of the network (issues like stranded costs)

    Age of the components

    External constraints Environment (lightning, storms, )

    Loading (static and dynamic, e.g. for On Load Tap Changers)

    Managerial factors

    Organisation, procedures, quality rules Human ressources and their management

    T i i 2 I t ti l P ti

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    Transmission 2. International Practices

    Regulation of continuity performance is a learning process,

    and trial and error may be part of it

    Some countries regulate the output (the continuity)

    Some countries regulate/monitor components availabilities

    T i i 2 I t ti l P ti

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    Transmission 2. International Practices

    France

    Hungary

    Italy

    Norway

    Portugal

    UK

    NewSouthWales

    (Australia)

    Victoria(Au

    stralia)

    Alberta(Canada)

    Oman

    PJM(USA)

    Energy Not Supplied(ENS)

    Average InterruptionTime (AIT)

    SAIDI-T

    SAIFI-T

    MAIFI-T

    ASAI=1-SAIDI-T

    Number of Outages(per 100km)

    Average OutageDuration

    Circuit Availability

    TransformerAvailability

    Circuit OutageDuration

    Transformer OutageDuration

    > 5min

    < 5min

    T 2 I t ti l P ti C ti it

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    Tr.2. International Practices: Continuity

    France

    Hungary

    Italy

    Norway

    Portugal

    UK

    NewSouthWales

    (Australia)

    Victoria(Au

    stralia)

    Alberta(Canada)

    Oman

    PJM(USA)

    Energy Not Supplied(ENS)

    Average InterruptionTime (AIT)

    SAIDI-T

    SAIFI-T

    MAIFI-T

    ASAI=1-SAIDI-T

    Number of Outages(per 100km)

    Average OutageDuration

    Circuit Availability

    TransformerAvailability

    Circuit OutageDuration

    Transformer OutageDuration

    EU countries

    monitor the

    output(continuity)

    Note:customer

    is either an HV

    customer or a

    S/S

    AU, CA

    monitor more

    componentavailabilities

    PJM (US) is

    an ISO and

    considers

    continuity asan issue for

    the network

    owner only

    NERC

    specifiesmeans

    (reserves)

    but not

    continuity

    targets

    T 2 I t ti l P ti C ti it

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    Tr.2. International Practices: Continuity

    MAIFI: average frequency index for Momentary Interruptions

    in the United States, Egypt, India, Philippines: the limit is set at

    5 minutes (as per IEEE 1366 standard: 1998, 2003, 2004);

    in the Europe: the limit is set at 3 minutes (CENELEC 1999);

    in Australia: the limit is set at 1 minutes (ESCV 2007 report)

    Power Quality es a)

    )

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    Power Qualityco: contracts Cust TSO

    cp: reg. power to constrain.

    li: limits ms: measures France

    Hun

    gary

    Italy Nor

    way

    Portugal

    UK New

    SouthWale

    Victoria(Australia

    Alberta(Canada

    Om

    an

    PJM

    (USA)

    Available PQ info from regulator+ + + + + - - - - - -

    Regulator power to set stdsN Y

    PQ contracts TSO customer

    PQ Parameters addressed:

    Slow V variationco cp ms

    Fast or tmp V variationco ms cp

    li

    Voltage dipsco ms cp ms

    Voltage unbalanceco ms cp

    li

    msli

    Voltage harmonicsco ms cp

    li

    msli

    Flicker severityms cpli ms

    li

    Interharmonicscp

    Mains signallingcp

    Transmission 3 Saudi Arabia

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    Transmission 3. Saudi Arabia

    France

    Hungary

    Italy

    Norway

    Portugal

    UK

    NewSou

    thWales

    (Australia)

    Victoria(Australia)

    Alberta(Canada)

    Oman

    PJM(USA)

    SEC(SA)

    MARAFIQ

    (SA)

    Energy Not Supplied (ENS)

    Average Interruption Time (AIT)

    = ENS/average power

    SIMLI = ENS/peak= AIT*load factor

    SAIDI-T

    SAIFI-T

    MAIFI-T

    ASAI=1-SAIDI-T

    Number of Outages (per 100km)

    Average Outage Duration

    Circuit Availability

    Transformer Availability

    Circuit Outage Duration

    Transformer Outage Duration

    CAIDI-T

    Transmission 4 Recommendations

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    Transmission 4. Recommendations

    France

    Hungar

    y

    Italy

    Norway

    Portuga

    l

    UK

    NewSo

    uthWales

    (Austra

    lia)

    Victoria

    (Australia)

    Alberta

    (Canada)

    Oman

    PJM(USA)

    SEC(SA)

    MARAF

    IQ(SA)

    RECOM

    MENDED

    Energy Not Supplied (ENS)

    Average Interruption Time (AIT)

    = ENS/average power

    SIMLI = ENS/peak= AIT*load factor

    SAIDI-T

    SAIFI-T

    MAIFI-T

    ASAI=1-SAIDI-T

    Number of Outages (per 100km)

    Average Outage Duration

    Circuit Availability

    Transformer Availability

    Circuit Outage Duration

    Transformer Outage Duration

    CAIDI-T

    Number of PQ contracts

    Transmission 4 Recommendations

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    Transmission 4. Recommendations

    Fran

    ce

    Hungary

    Italy

    Norw

    ay

    Port

    ugal

    UK

    New

    SouthWales

    (Aus

    tralia)

    Victoria(Australia)

    Albe

    rta(Canada)

    Oma

    n

    PJM

    (USA)

    SEC

    (SA)

    MAR

    AFIQ(SA)

    REC

    OMMEND(draft)

    REC

    OMMENDED(new)

    Energy Not Supplied (ENS)

    Average Interruption Time (AIT)

    = ENS/average power

    SIMLI = ENS/peak= AIT*load factor

    SAIDI-T

    SAIFI-T

    MAIFI-T

    ASAI=1-SAIDI-T

    Number of Outages (per 100km)

    Average Outage Duration

    Circuit Availability

    Transformer Availability

    Circuit Outage Duration

    Transformer Outage Duration

    CAIDI-T

    Number of PQ contracts

    Nb Voltage dev. Duration>10 min

    Losses in Energy (% of injected)

    Transmission 4 Recommendations

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    Transmission 4. RecommendationsKPI Unit Level

    1Energy NotSupplied (ENS) MWh

    Planned/Unplanned/

    Force Majeure

    2

    AverageInterruption Time(AIT) Minutes

    Planned/Unplanned/

    Force Majeure/Gen.

    3 SAIDI-T Minutes per year

    Planned/Unplanned/

    Force Majeure/ Gen.

    4 SAIFI-T Interruptions per year

    Planned/Unplanned/

    Force Majeure/ Gen.

    5 MAIFI-T Interruptions per year

    Planned/Unplanned/

    Force Majeure/ Gen.

    6 Out100kmOutages per year per100 km

    Planned/Unplanned/

    Force Majeure/ Gen.

    NrPQContracts Number

    7 Nb Volt. Dev./yr Nb voltage dev.> 10 min

    8 Losses Energy losses in % Per area and V level

    Transmission 4 Recommendations

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    Transmission 4. RecommendationsPhasing of KPIs: some tasks have to be planned

    - Introduction of planned and excluded events beside unplanned ones

    - Introduction of some new KPIs: ENS, MAIFI-T, Losses- Extension of SCADA on 4% remaining lines, means for verifications

    Note for SAIDI,

    SAIFI: delivery

    points should

    preferably beof similar size.

    Hence, LV and

    MV customers

    are supposed

    not to be

    supplied by theTSO but by the

    DNO

    Year of Implementation

    KPI 2010 2011 2012 2013

    T1 ENS

    T2 AIT

    T3 SAIDI-T

    T4 SAIFI-T

    T5 MAIFI-T

    T6 Out100 km

    T7 NrPQContracts

    T7 NbVoltDev T8 Losses (% Engy)

    reg

    Transmission Annex: Comments

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    TransmissionAnnex: CommentsFrom Comment Response from KEMA

    Dr. Ahmed Al-

    Abdulwahab

    Suggest to measure at level

    of delivery points (as inItaly)

    Excellent comment: we were envisaging this for the

    future. Depending of ECRA wishes, these KPIs forprotecting the Worst Served Customer require however

    specific electronic meters that count the number and

    duration of the interruptions at a given point.

    Consequently it takes time to be implemented. This is

    also a good reason for ECRA to consider this issue early

    rather than later.

    Transmission Annex: Comments

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    TransmissionAnnex: CommentsFrom Comment Response from KEMA

    Dr. Ahmed Al-

    Abdulwahab

    Suggest to use System

    Minutes (SM) instead of AIT

    The SM or SIMLI uses the peak load while the AIT uses

    the average load, which is related to the yearly energy.

    In our experience there are some problems in using the

    peak load because it is much more volatile than the

    yearly energy: a combination of factor can affect sharply

    the peak demand (e.g. sudden heat wave) but not the

    yearly consumption. Therefore we suggest to maintain

    the AIT which is also used by a large number of utilities,

    and is easy to compute.

    Transmission Annex: Comments

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    Transmission Annex: CommentsFrom Comment Response from KEMA

    SEC Transmission Planned outages should not

    be included in KPIcalculations: they are

    usually responded to by

    system reconfiguration to

    prevent interruption to final

    customers

    We understand and agree that planned outage do not

    necessarily lead to interruptions. It is helpful to make adistinction between outage (a failure but not necessarily

    leading to an interruption in the supply) and an

    interruption (where customers do experience a

    blackout). We will update the definitions to make this

    more clear. At the same time, we do recommend that

    planned interruptions are included in the measurement

    even though it should be separately highlighted in the

    reporting statistics.

    Transmission Annex: Comments

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    Transmission Annex: Comments

    From Comment Response from KEMA

    SEC Transmission Outage per 100 km: SEC

    recommends to cancel this

    because it is an internal-

    only KPI

    We would like to discuss this point in more detail with

    SEC.

    Transmission Annex: Comments

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    Transmission Annex: Comments

    From Comment Response from KEMA

    SEC Transmission Force Majeure interruptionsshould be calculated

    separately

    We fully agree with this and also have proposed that FMrelated interruptions should be measured and reported

    separately. Even though FM is outside the utilitys

    control, it is still important to measure and report on it.

    Transmission Annex: Comments

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    Transmission Annex: Comments

    From Comment Response from KEMA

    ECRA, Fayez Force majeure: generationoutage should not be

    considered FM

    We agree with this point and will change the reportaccordingly. More precisely, there will be:

    For Transmission KPIs 4 components:

    Unplanned, Planned, Force Majeure, Generation

    For Distribution KPIs 5 components:

    Unplanned, Planned, Force Majeure, Transmission,

    Generation

    Distribution

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    Distribution

    1. Introduction

    2. International Practices

    3. Existing KPIs in Saudi Arabia

    4. Recommended KPIs

    Distribution 1. Introduction

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    Distribution 1. IntroductionRegulation of continuity of supply considers four types of regulatory

    instruments:

    1. Publications of performances in the form of selected KPIs

    2. Quality contracts between the DNO and the customer

    3. Reward and penalty schemes

    4. Commitment for Minimum Quality Standards (MQS), also referredto as GSL (Guaranteed Service Level, GSL)

    The present proposal deals with the 1st and the 2nd of these

    (the other measures can be designed later after aquiring a goodknowledge of the system and the feasibility of implementation).

    Distribution - 1. Introduction

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    s bu o oduc o Where to monitor the performance:

    At the output (continuity of deliveries to the distribution) ?

    At an intermediate level (availability of components) ?At both levels

    At none

    Classic theory of regulation of systems: output signal is regulated

    DNOs:

    Continuity performance is directly faced by customers, and since

    the network is operated radially there is a delay to restore service

    Compared to TSO, a single event does not lead to a black out,hence less visibility of an interruption, more risk for negligence

    Distribution 2. International Practices

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    France

    Hungary

    Italy

    Norway

    Portugal

    UK

    NewSouthWales

    Australia

    Victoria(Australia)

    Canada

    Oman

    USA

    Average Indicators

    SAIDI

    SAIFI

    MAIFI ()

    CAIDI

    ASAI

    TIEPI (=AIT)

    ENS

    Out100km: nb outagesper grid length

    about 24%

    of the US

    utilities are

    monitoring

    MAIFI

    Distribution 2. International Practices

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    Franc

    e

    Hung

    ary

    Italy

    Norw

    ay

    Portu

    gal

    UK

    NewSouthWales

    Australia

    Victo

    ria(Australia)

    Cana

    da

    Oman

    USA

    Average Indicators

    SAIDI

    SAIFI

    MAIFI ()

    CAIDI ENS

    Out100km: nb outagesper grid length

    Worst-Served Customer Indicators

    Longest Interruption(MaxD)

    Maximum duration ofinterruption (MxDYr)

    Maximum numberinterruptions (MxNrYr)

    Improving the

    average

    performance is

    good, but is it

    reallyprotecting all

    customers ?

    > 5, 3, 1 min

    < 5, 3, 1 min

    Distribution 3. Saudi Arabia

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    France

    Hung

    ary

    Italy

    Norw

    ay

    Portu

    gal

    UK

    New

    SouthWales

    Australia

    Victo

    ria(Australia)

    Cana

    da

    Oman

    USA

    SA-S

    ECDistrib.

    SA-M

    arafiq

    Average Indicators

    SAIDI

    SAIFI

    MAIFI ()

    CAIDI

    ASAI

    TIEPI (=AIT)

    ENS

    Out100km: nb outages per grid length

    Worst-Served Customer Indicators

    Longest Interruption (MaxD) Maximum duration of interruption (MxDYr)

    Maximum number interruptions (MxNrYr)

    Distribution 4. Recommendations

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    France

    Hu

    ngary

    Ita

    ly

    No

    rway

    Po

    rtugal

    UK Ne

    wSouthWales

    Australia

    Victoria(Australia)

    Ca

    nada

    Om

    an

    US

    A

    SA

    -SECDistrib.

    SA

    -Marafiq

    RE

    COMMENDED

    Average Indicators

    SAIDI SAIFI MAIFI ()

    CAIDI ASAI

    TIEPI (=AIT)

    ENS

    Out100km: nb outages per grid length

    Nb PQ Contracts

    Worst-Served Customer Indicators

    Longest Interruption (MaxD)

    Maximum duration of interruption (MxDYr)

    Maximum number interruptions (MxNrYr)

    To be

    discussed:

    ENS is

    useful for

    planning,

    not forcustomer

    protection

    Proposed

    for later, at

    MV level

    Distribution 4. Recommendations

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    To be

    discussed:

    ENS is

    useful for

    planning,

    not forcustomer

    protection

    Proposed

    for later, at

    MV level

    Fr

    ance

    Hungary

    Ita

    ly

    Norway

    Portugal

    UK

    NewSouthWales

    A

    ustralia

    Victoria(Australia)

    Canada

    Oman

    USA

    SA-SECDistrib.

    SA-Marafiq

    RECOMM.

    (draft)

    RECOMM.

    (new)

    Average Indicators

    SAIDI SAIFI MAIFI ()

    CAIDI ASAI

    TIEPI (=AIT)

    ENS

    Out100km: nb outages per grid length

    Nb PQ Contracts

    Nb Voltage dev. Duration>10 min

    Losses in Energy (% of injected)

    Worst-Served Customer IndicatorsLongest Interruption (MaxD)

    Maximum duration of interruption (MxDYr)

    Maximum number interruptions (MxNrYr)

    Distribution 4. Recommendations:Phasing

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    Main new features

    to be introduced:

    - Introduction of planned and excluded events beside unplanned ones

    (separate exclusion because TSO origin from because Force Majeure)

    - Introduction of some new KPIs: MAIFI, Nb Voltage Deviations

    - Extension of SCADA on MV remaining lines (if benefits in network

    reliability are higher than the system cost), means for verifications

    - Extension of KPIs to LV customers

    - Preparing further KPIs: ENS, worst-served customers

    Year of Implementation

    KPI 2010 2011 2012 2013

    D1 SAIDI

    D2 SAIFI

    D3 MAIFI

    D4 CAIDI PQ Contracts

    D5 Nb Volt Dev D6 Losses (area)

    reg

    DistributionAnnex 1: General Issues

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    1. KPIs should be oriented to customer protection

    2. For a given objective, a limited set of KPIs should be enough

    3. Information must be collected in a uniform way by all distributors to

    ensure fairness for them and equality of treatment for customers

    DistributionAnnex 2: Practical Issues

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    1. Procedures for measuring should be clearly defined so that the

    data can be audited: we suggest to start from existing procedures;

    hence we need a description of these. Typically 4 steps:

    Registering interruptions:

    Start: SCADA and registering of customer calls (telling the

    customer the code number of the/his interruption for enabling

    faster info to be provided if required) Stop: when checking the supply is back for the customer group

    Computing the indicators, using an up to date network connectivity

    model and customer DBs forestimating Nb of affected customers

    Reporting to the regulator: a form will be set Verifying : enabling audits (Co. to describe their procedures: qual.)

    DistributionAnnex 2: Practical Issues

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    1. Procedures for measuring should be clearly defined so that the

    data can be audited: we suggest to start from existing procedures;

    hence we need a description of these. Typically 4 steps:

    Registering interruptions:

    Start: SCADA and registering of customer calls (telling the

    customer the code number of the/his interruption for enabling

    faster info to be provided if required) Stop: when checking the supply is back for the customer group

    Computing the indicators, using an up to date network connectivity

    model and customer DBs forestimating Nb of affected customers

    Reporting to the regulator: a form will be set Verifying the reliability of the figures : enabling audits

    Could SEC & Marafiq describe their 4 steps ?

    DistributionAnnex 2: Practical Issues

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    1. Interruption Type (Planned and unplanned): if planned, what is

    important is the notification: a notice delay (days) is to be set.

    2. Interruption Classification : momentary (short) or sustained (long)

    3. Interruption Number of affected customers

    4. Interruption Origin: In order for the regulator to put pressure on

    issues where there is room for improvements, for each interruption :

    search of origin A coding of origin location is to be set

    5. Interruption Cause/FM: list of causes to be approved by regulator

    Could SEC & Marafiq describe their file format, location ?

    DistributionAnnex 2: Practical Issues

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    1. Interruption Type (Planned and unplanned): if planned, what is

    important is the notification: a notice delay (days) is to be set.

    2. Interruption Classification : momentary (short) or sustained (long)

    3. Interruption Duration

    4. Interruption Number of affected customers

    5. Interruption Origin: In order for the regulator to put pressure on

    issues where there is room for improvements, for each interruption :

    search of origin A coding of origin location is to be set

    6. Interruption Cause/FM: list of causes to be approved by regulator

    Could SEC & Marafiq describe their file format, location ?

    DistributionAnnex 2: Practical Issues Presently SEC Distribution uses a detailed list of causes:

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    Presently, SEC Distribution uses a detailed list of causes:

    N1-74: Defaults of components (cable, joint, pole, jumper, line)

    N75-84: Transient fault due to ext. agent, rain, wind, storm, unkn. N85 Fire from external cause

    N88 Load shedding (for frequency control)

    N89 Fault due to bird/animal

    N90 to 96: due to protections (overloads,), mal-operations

    N98 tripping of generators (supplying at transmission level)

    N99 Loss of transmission supply

    N100 Tripping of generator (supplying at distribution level)

    Seems ok: exceptional events (regulatory causes) will be out of KPI

    In addition, it allows operators to identify KPI per manufacturer/parts

    Good visibility is the key for understanding and efficiency

    DistributionAnnex 3: Comments

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    From Comment Response from KEMA

    Majed Alsalem Power quality

    measurements need to bemandatory

    Fayez Voltage variation and

    frequency needs to be

    addressed

    Majed Alsalem Voltage level variation

    should be added

    These aspects can all be captured in a PQ contract. We

    believe it will be helpful to clarify our suggestedapproach of the PQ contract in more detail during the

    meetings.

    Frequency variations are usually not disturbing the

    consumers and the first components to be affected

    are in fact the auxiliaries at generation plants.

    Now, PQ contracts have been removed and replaced

    by voltage deviation: still to be defined

    DistributionAnnex 3: Comments

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    From Comment Response from KEMA

    Fayez CAIDI should also be

    considered

    Majed Alsalem CAIDI should be added

    CAIDI is equal to SAIDI/SAIFI and as such provides

    relatively little added information as an indicator.

    Nevertheless we can consider further whether or not

    to include this as a KPI.

    Now, CAIDI is considered as added to the list of KPI s

    DistributionAnnex 3: Comments

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    From Comment Response from KEMA

    Fayez System losses are not

    included for T and D

    Dr. Abdullah Replace T7 with amount of

    investment and loss

    reduction

    Legal advisor Network losses should be

    included

    We are very aware of the point about network losses

    and plan to discuss this further with ECRA during ourvisit. As we discussed in the report, network losses

    should ideally be dealt with via the price regulation

    but we are surely open to discuss this issue in more

    detail.

    Now, losses are considered as added to the list of KPIs

    DistributionAnnex 3: Comments

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    From Comment Response from KEMA

    Dr. Ahmed Al-

    Abdulwahab

    Suggest to use KPIs also at

    feeder level and area level

    Dr. Abdullah Reporting at different

    voltage levels?

    Dr. Abdullah Segregation into urban and

    rural categories

    The distinction between voltage level (medium, low

    voltage) and category (urban, rural) is a very good

    suggestion.

    True, to much extent, monitoring these indices at a

    more detailed level (area, feeder, etc) can be a tool for

    the utility to observe where the problems are the

    most significant. From the regulatory perspective itmay be considered somewhat intrusive to define the

    KPI at e.g. feeder level.

    Now, the various KPI are considered as broken down

    into categories (urban, suburban, rural, isolated),

    voltage levels (MV, LV) and areas (18 areas ?)

    DistributionAnnex 4: Pending issues Number and types of areas/voltage levels delivery points :

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    Number and types of areas/voltage levels delivery points :

    Separate urban, sub-urban, rural values for the KPIs per area (18?)

    Separation of voltage levels (LV and MV for distribution), HV for T.

    Recommendation: If feasible, launch a customer survey to

    Estimate the inconvenience level (cost) of interruptions for the

    customer, the value of ENS, SAIDI, SAIFI

    Record load curves for estimating the ENS of long interruptions

    (one year measurement campaign, setting customer groups)

    Request - We expect from the companies:

    The KPI values of the 3 last years

    A more detailed description of the existing calculation for the KPIs

    (file format, client database, network connectivity DB: quality ctrl.)

    Data flow for Volt deviation: range ? visit of dispatching ?

    Customer Service

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    Introduction

    International Practices Existing KPIs in Saudi Arabia

    Recommended KPIs

    Customer Service InternationalPractices (1)

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    Practices (1)

    KPI France

    Hungary

    Italy

    Norway

    UK

    Pennsylvani

    a(USA)

    Vermont

    (USA)

    Alberta

    (Canada

    )

    NewSouth

    Wales

    Victoria

    (Australia)

    Providing supply

    Time to Supply - Existing

    connections

    Time to Supply - New

    connections

    Time to reconnectionfollowing lack of payment

    Time to respond to failure

    of supplier's fuse

    Time to solve meter

    problems

    Complaint handling

    Time to solve complaints

    Frequency of complaints

    Frequency of billingcomplaints

    Frequency of revised bills

    Customer Service InternationalPractices (2) a)

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    Practices (2)

    KPI France

    Hunga

    ry

    Italy

    Norwa

    y

    UK

    Penns

    ylvania

    (USA)

    Vermo

    nt(USA)

    Albert

    a(Canada)

    NewS

    outhWales

    (Austr

    alia)

    Victor

    ia(Australia

    Punctuality

    Late time at

    appointments

    Waiting time call

    centre

    Waiting time in

    customer centre

    Time to estimate

    charge for works

    Time to execute

    works

    Amount of time given

    before interruption of

    supply

    Customer Service Saudi Arabia

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    KPI SEC Marafiq

    Customer satisfaction X X

    Billing accuracy X X

    Network coverage X

    Speed of providing connection X X

    Restoration supply after non-payment X

    Complaint resolution X

    Customer ServiceRecommendations

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    Recommendations

    KPI Unit

    C1 Average Time to Supply Existing Connections (ATSE) days

    C2 Average Time to Supply New Connections (ATSN) days

    C3 Average Time to Reconnect After Payment (ATRAP) hours

    C4 Average Time to Resolve Complaints (ATRC) days

    C5 Frequency of Billing Errors (FBE) %

    C6 Punctuality in Keeping Appointments (PKA) %

    Feedback and Comments

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    From Comment

    Dr. Abdullah Add:

    Time to solve meter problems

    Time to solve complaints

    Frequency of complaints

    Waiting time call center

    Time before interruption of supply

    Time to execute works

    Fayez Waiting time call center: should also be included

    Fayez C1 needs more clarification

    Majed Alsalem Add: Call center average waiting time , Calls answered/Calls

    received

    Legal advisor Also include: 1. Phone centre: average time to answer, cooperation

    of staff, and 2. Measurement of customer satisfaction

    Marafiq Marafiq also performs customer satisfaction surveys

    Marafiq Marafiq also performs annual customer gatherings

    Customer Service UpdatedRecommendations

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    RecommendationsKPI Unit Target

    C1 Average Time to Supply Existing Connections (ATSE) days Yes

    C2 Average Time to Supply New Connections (ATSN) days Yes

    C3 Average Time to Reconnect After Payment (ATRAP) hours Yes

    C4 Average Time to Resolve Complaints (ATRC) days Yes

    C5 Frequency of Billing Errors (FBE) % Yes

    C6 Punctuality in Keeping Appointments (PKA) % Yes

    C7 Average Time to Solve Meter Problems days Yes

    C8 Frequency of Complaints # Yes

    C9 Average Waiting Time Call Center min Yes

    C10 Time before Interruption of Supply days Yes

    C11 Time to Execute Works days Yes

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    Experience you can trust.

    Thank you for your attention!

    [email protected]