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Industry and market monitoring at the Electricity Authority
Phil Bishop, Electricity Commission
and
Ramu Naidoo, PSC
26 October 2010
2
Overview
• Electricity Authority – objective and functions• Key monitoring uses and activities• Markets to be monitored• Methods• Next steps• vSPD (vee-SPuD)• Overview of formulation• Applications to date• Future work
3
Focused objective
• Authority’s objective• promote competition in, reliable supply by, and the efficient operation
of, the electricity industry for the long-term benefit of consumers (clause 15, Electricity Industry Act 2010)
• Commission objectives and outcomes that are not objectives of the Authority include:• fairness• environmental sustainability • promotion of electricity efficiency• c.f. sections 172N and 172O of the Electricity Act 1992 (as amended)
4
Functions of the AuthoritySee clause 16:
a) to maintain a register of industry participants
b) to make and administer the Electricity Industry Participation Code
c) to monitor compliance with the Act, the regulations, and the Code
d) to investigate and enforce compliance with parts 2 and 4, the regulations, and the Code
e) to investigate and enforce compliance with part 3
f) to undertake market-facilitation measures (such as providing education, guidelines, information, and model arrangements), and to monitor the operation and effectiveness of market facilitation measures
g) to undertake industry and market monitoring, and carry out and make publicly available reviews, studies, and inquiries into any matter relating to the electricity industry
h) to contract for market operation services and system operator services
i) to promote to consumers the benefits of comparing and switching retailers
j) to perform any other specific functions imposed on it under this or any other Act
5
Key uses and activities• Uses
• Inform and assist the Authority’s code development activities• Provide interested parties with sufficient information to determine if the
sector’s performance is in the long term interests of consumers• Provide additional discipline on participant’s pricing decisions (when
they possess market power)
• Activities• Routine measuring, testing, screening, comparing against
benchmarks/thresholds and reporting• Provision of data and information (data warehouse project)• One-off reviews and studies
The Authority does not seek to become the price police – that is the role of the Commerce Commission
6
Markets and prioritiesPriorities determined in recent months by the Establishment Board
1. Assess competition in NZ’s electricity markets, including: retail, wholesale, ancillary services, and forward markets
2. Assess reliability of supply – from an efficiency perspective
3. Assess transaction efficiency
Markets to be monitored1. Wholesale spot market (incl. resource adequacy)
2. Instantaneous reserves market
3. Forwards markets
4. Ancillary services markets
5. Fuels and inventories
6. Retail market
7. Distribution services market
8. Transmission services market
7
Methods• Data warehouse (access via internet)• Models• Transparent and freely available• GAMS-based and open source• E.g. vSPD with daily GDX files of input data for final pricing
cases• Matlab-based• Distributed codes and compiled executables
• EA website (monitoring page)• Routine screening and summaries• One-off reports and studies
9
Data warehouse
Data Warehouse Server(ECOM039)
Internet
FTP Server(ECOM046)
Data arriving via SFTP (pushed)
Users
100% 90% 80% 70% 60% 50% 40% 30%
Service Provider
Service Provider
Analysts
10
Progress and next steps
• Progress• Data warehouse started• Guidelines on data gathering and dissemination• Core tools being developed/enhanced
• Next steps• Internal work plan (Nov)• Information paper for industry stakeholders (Dec)• Data management plan (Dec)• Adapt models to generate competition measures (Dec)• Data warehouse accessible via internet (July 2011)
11
Overview - vSPD
• SPD used as the market clearing engine (MCE) in NZ electricity market
• Mathematical formulation documented and publicly available
• vSPD based on the published mathematical formulation
• Developed using GAMS • Estimation of some input parameters (e.g.
loss segments)
17
July 09 to June 10
0
50
100
150
200
250
300
350
22-J
ul-0
929
-Jul
-09
05-A
ug-0
912
-Aug
-09
19-A
ug-0
926
-Aug
-09
02-S
ep-0
909
-Sep
-09
16-S
ep-0
923
-Sep
-09
30-S
ep-0
907
-Oct
-09
14-O
ct-0
921
-Oct
-09
28-O
ct-0
904
-Nov
-09
11-N
ov-0
918
-Nov
-09
25-N
ov-0
902
-Dec
-09
09-D
ec-0
916
-Dec
-09
23-D
ec-0
930
-Dec
-09
06-J
an-1
013
-Jan
-10
20-J
an-1
027
-Jan
-10
03-F
eb-1
010
-Feb
-10
17-F
eb-1
024
-Feb
-10
03-M
ar-1
010
-Mar
-10
17-M
ar-1
024
-Mar
-10
31-M
ar-1
007
-Apr
-10
14-A
pr-1
021
-Apr
-10
28-A
pr-1
005
-May
-10
12-M
ay-1
019
-May
-10
26-M
ay-1
002
-Jun
-10
09-J
un-1
016
-Jun
-10
23-J
un-1
030
-Jun
-10
Day
Ave
rag
e H
AY
2201
Pri
ce (
$/M
Wh
) SPD
July 09 to June 10
0
50
100
150
200
250
300
350
22-J
ul-0
929
-Jul
-09
05-A
ug-0
912
-Aug
-09
19-A
ug-0
926
-Aug
-09
02-S
ep-0
909
-Sep
-09
16-S
ep-0
923
-Sep
-09
30-S
ep-0
907
-Oct
-09
14-O
ct-0
921
-Oct
-09
28-O
ct-0
904
-Nov
-09
11-N
ov-0
918
-Nov
-09
25-N
ov-0
902
-Dec
-09
09-D
ec-0
916
-Dec
-09
23-D
ec-0
930
-Dec
-09
06-J
an-1
013
-Jan
-10
20-J
an-1
027
-Jan
-10
03-F
eb-1
010
-Feb
-10
17-F
eb-1
024
-Feb
-10
03-M
ar-1
010
-Mar
-10
17-M
ar-1
024
-Mar
-10
31-M
ar-1
007
-Apr
-10
14-A
pr-1
021
-Apr
-10
28-A
pr-1
005
-May
-10
12-M
ay-1
019
-May
-10
26-M
ay-1
002
-Jun
-10
09-J
un-1
016
-Jun
-10
23-J
un-1
030
-Jun
-10
Day
Ave
rag
e H
AY
2201
Pri
ce (
$/M
Wh
) vSPD
Price comparisonJuly 09 to June 10
0
50
100
150
200
250
300
350
22
-Ju
l-0
92
9-J
ul-
09
05
-Au
g-0
91
2-A
ug
-09
19
-Au
g-0
92
6-A
ug
-09
02
-Se
p-0
90
9-S
ep
-09
16
-Se
p-0
92
3-S
ep
-09
30
-Se
p-0
90
7-O
ct-0
91
4-O
ct-0
92
1-O
ct-0
92
8-O
ct-0
90
4-N
ov-
09
11
-No
v-0
91
8-N
ov-
09
25
-No
v-0
90
2-D
ec-
09
09
-De
c-0
91
6-D
ec-
09
23
-De
c-0
93
0-D
ec-
09
06
-Ja
n-1
01
3-J
an
-10
20
-Ja
n-1
02
7-J
an
-10
03
-Fe
b-1
01
0-F
eb
-10
17
-Fe
b-1
02
4-F
eb
-10
03
-Ma
r-1
01
0-M
ar-
10
17
-Ma
r-1
02
4-M
ar-
10
31
-Ma
r-1
00
7-A
pr-
10
14
-Ap
r-1
02
1-A
pr-
10
28
-Ap
r-1
00
5-M
ay-
10
12
-Ma
y-1
01
9-M
ay-
10
26
-Ma
y-1
00
2-J
un
-10
09
-Ju
n-1
01
6-J
un
-10
23
-Ju
n-1
03
0-J
un
-10
Day
Ave
rag
e H
AY
2201
Pri
ce (
$/M
Wh
) SPD
vSPD
18
Price comparison (cont…)
July 09 to June 10
0
20
40
60
80
100
120
140
160
22
-Ju
l-0
92
9-J
ul-
09
05
-Au
g-0
91
2-A
ug
-09
19
-Au
g-0
92
6-A
ug
-09
02
-Se
p-0
90
9-S
ep
-09
16
-Se
p-0
92
3-S
ep
-09
30
-Se
p-0
90
7-O
ct-0
91
4-O
ct-0
92
1-O
ct-0
92
8-O
ct-0
90
4-N
ov-
09
11
-No
v-0
91
8-N
ov-
09
25
-No
v-0
90
2-D
ec-
09
09
-De
c-0
91
6-D
ec-
09
23
-De
c-0
93
0-D
ec-
09
06
-Ja
n-1
01
3-J
an
-10
20
-Ja
n-1
02
7-J
an
-10
03
-Fe
b-1
01
0-F
eb
-10
17
-Fe
b-1
02
4-F
eb
-10
03
-Ma
r-1
01
0-M
ar-
10
17
-Ma
r-1
02
4-M
ar-
10
31
-Ma
r-1
00
7-A
pr-
10
14
-Ap
r-1
02
1-A
pr-
10
28
-Ap
r-1
00
5-M
ay-
10
12
-Ma
y-1
01
9-M
ay-
10
26
-Ma
y-1
00
2-J
un
-10
09
-Ju
n-1
01
6-J
un
-10
23
-Ju
n-1
03
0-J
un
-10
Day
Ave
rag
e B
EN
2201
Pri
ce (
$/M
Wh
) SPD
VSPD
19
Some applications of vSPD
• Variable reserves investigation
• Investigation of scarcity pricing implementation options within the MCE
• Market impact assessments of rule breaches