POWER GENERATION OPERATION AND CONTROLcusp.umn.edu/Napa_2014/Saturday/Power Generation Operation and... · Short Term Demand Forecasting 17 Function Forecast Horizon Forecast Intervals

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    POWER GENERATION OPERATION AND CONTROL

    Presentation by

    Bruce F. Wollenberg

    University of Minnesota

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    Course is based on textbook by Allen J. Wood Bruce F. Wollenberg Gerald B. Shebl

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    Power System Operations

    Operations is a 24 hours/day, 365 days/year job

    Photo courtesy Xcel Energy, Minneapolis MN

  • Large economic effect on

    power delivery costs

    Economic Dispatch

    Unit Commitment

    Hydro Scheduling

    Fuel Scheduling

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  • ECONOMIC DISPATCH

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    Fuel Input$/ton$/bbl$/cuft

    Power Output

    MW

    Students learn to use Lagrange functions and the KKT optimal conditions and how to interpret Lagrange multipliers

    Fuel Input$/ton$/bbl$/cuft

    Power Output

    MW

    Fuel Input$/ton$/bbl$/cuft

    Power Output

    MW

    How do we allocate MW output to the generators to minimize the total cost of operating all generators

  • Scheduling Generation to meet hourly

    load the Unit Commitment Problem

    0 20 40 60 80 100 120 140 160 1801000

    1200

    1400

    1600

    1800

    2000

    2200

    2400

    2600

    2800

    3000

    Hours

    MW

    Hourly load for one week

    Sunday Monday Tuesday Wednesday Thursday Friday Saturday

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    Students learn how To use Dynamic Programming and Lagrange Relaxation

  • Hydro units on river networks and

    fuel delivery networks

    Schedule oil usage so as to not empty storage tank until new supplies are available

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    Schedule hydro to avoid overflow of reservoirs

    Students learn to use Linear Programming

  • Transmission System

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    Power System Security

    Lightning, rain, wind, and vehicles can cause a transmission line to fail

    Failure can result in other lines overloading and voltages to sag

  • Operations must take transmission

    system into account

    All lines and transformer flows within limit

    All bus voltage magnitudes within limit

    No first contingency outages will result in any flow or

    voltage limit violations (the (N-1) rule)

    Any violations must be corrected

    Economic dispatch must account for transmission losses

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    Students use Newton and Decoupled Power Flow, Linear Power Flow and PTDF and LODF factors

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    What Happens If We Ignore

    System Security?

    Times Square, New York City, August 14, 2003

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    Control of Generation, frequency,

    and power interchange

    L O A

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    V

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    G 3

    G 4

    G O

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    G O

    V

    Pre f

    Pre f

    G O

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    Pre f

    C o n tro l A re a R e d C o n tro l A re a B lu e

    A G C T ie F lo w

    Fr e

    qu

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    cy

    Ge

    ne

    ra

    t or O

    ut p

    ut

    Ge

    ne

    ra

    to

    r O

    utp

    ut

  • Automatic Generation Control

    (AGC)

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    Students learn the importance of well thought out practical control systems

  • Large Mathematical Applications

    State Estimation (least squares and orthogonal decomposition)

    Calculate the power flow state from real time measurements

    Detect and identify bad measurements

    Optimal Power Flow (incremental LP and interior point optimization)

    Minimize operating cost

    Power flow for entire transmission system as set of constraints

    Extend to market calculation of demand and supply

  • Optimal Power Flow with flow

    and line outage constraints

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  • Power System Operations

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  • Short Term Demand Forecasting

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    Function Forecast Horizon Forecast Intervals

    Automatic Generation Control (AGC) Next 15 Minutes 5 Seconds

    Economic Dispatch (ED) Next Hour 30 Seconds

    Power Flow (PF) Next 2 Days Five Minutes

    Optimal Power Flow (OPF)

    Contingency Analysis (CA) Next 2 Days Ten Minutes

    Situational Awareness (SA) Next Hour 120 Samples Per Second

    Voltage Stability (VS) Next Hour 120 Samples Per Second

    Unit Commitment (UC) Next 14 Days Hourly

    Transaction Evaluation & Management (TEM) Next 14 Days Hourly

    Wind Forecasting Next 5 60 minutes 30 seconds

    Hydro Forecasting Next 14 days Hourly

    Fuel Scheduling Next 1 6 months Weekly

    Students are introduced to basic time series modeling such as Box Jenkins, weighted least squares, innovations estimation etc.

  • Thank you

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