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Next Generation of Transmission & Resource Planning Models at NYISO Next Generation of Transmission & Resource Planning Models at NYISO

Next Generation of Transmission & Resource Planning Models at NYISO - PowerPoint Presentation

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Next Generation of Transmission & Resource Planning Models at NYISO - PPT Presentation

Henry Chao Vice President System and Resource Planning New York Independent System Operator IEEE PES General Meeting 2015 July 29 2015 1 New York Control Area NYCA A part of NPCC Northeast Power Coordinating Council region ID: 815535

nyiso load planning model load nyiso model planning system reliability models capacity resources nyca hpc transmission power emergency performance

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Slide1

Next Generation of Transmission & Resource Planning Models at NYISO

Henry ChaoVice President – System and Resource Planning New York Independent System OperatorIEEE PES General Meeting 2015July 29, 2015

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Slide2

New York Control Area (NYCA)

A part of NPCC (Northeast Power Coordinating Council) regionInterconnected with PJM, ISO-NE, IESO (Ontario), and Hydro Quebec (HQ)Eleven internal Load Zones2

Slide3

NYCA Power System

NYCA System Peak Load RecordsSummer: 33,956 MW (July 19, 2013)Winter: 25,738 MW (January 7, 2014)Total Resources Projected for the 2015 Capability Year

Summer: 41,610 MW

Winter: 42,610 MW

Existing Transmission Lines above 100 kV

Over 11,000 circuit miles

3

Slide4

Regulations for NYISO Planning

GovernmentFERC orders and regulationsNYS Public Service Commission (PSC) policies and ordersEnvironmental Protection Agency (EPA) regulations

Reliability Organizations

NERC TPL reliability standards

NPCC Directory 1 reliability criteria

NYS Reliability Council (NYSRC) Reliability Rules

NYISO Tariffs

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Slide5

NYISO Planning Process

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Slide6

NYISO Planning Process (cont’d)

Special Studies for the Capacity MarketInstalled Reserve Margin (IRM) StudyCurrent statewide IRM requirement: 17.0%Locational

Capacity Requirements (LCR) Study

Current LCR requirements: 83.5% for New York City, 103.5% for Long Island, and 90.5% for Locality G-J

External Capacity Rights (ECR) Study

Determine Import Rights from neighboring Control Areas

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Slide7

NYISO Planning Models

Deterministic vs. ProbabilisticDeterministic models still widely usedAnalysis of power flow, contingencies, short circuit, stability, dynamics, etc.Typical criterion: “N-1”, “N-1-1”Conservative but do not consider probabilities Probabilistic models also adopted

Analysis of generation and/or transmission adequacy

Typical criterion: “loss of load expectation (LOLE)”

Address compromise of severity & probability

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Slide8

NYISO Probabilistic Models

NYCA Power System Design CriterionNYCA LOLE shall be, on average, no more than 0.1 day/yearSoftware ToolGeneral Electric Multi-Area Reliability Simulation (GE-MARS) ProgramSimulation Approach

Sequential Monte Carlo Simulation

Evaluate each hour through the year chronologically

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Slide9

NYISO MARS Model

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Slide10

Load Model

Baseline Peak Load ForecastValue at the center (50/50) of Normalized probability density functionLoad Forecast Uncertainty (LFU)Model probability distribution of load forecastSeven load bins covering the distribution range of ±3.5σ (standard deviation)

Load Shapes

Three load shapes with associated probabilities

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Slide11

Capacity Model

Conventional Generator UnitsMulti-capacity-state model with transition ratesForced outage & derating status determined by random numbers during simulationTransition rates derived from 5-year historical data in the NERC Generating Availability Data System (GADS)Renewable Energy Resources

Hourly load modifier

The output varies between 0 and the nameplate value based on historical production data

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Slide12

Transmission Model

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Slide13

Emergency Operating Procedures Model

Demand ResourcesSpecial Case Resources (SCR)Emergency Demand Response Programs (EDRP)Emergency Operating Procedures (EOP)Load controlVoltage reductions, voluntary industrial curtailment, general public appeals

Generation supplements

Emergency purchases, reducing operating reserves

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Slide14

Need for High Performance Computing

Heavy Computation BurdenIncreased dimensionality of interconnected systems in planning study modelsNature of Monte Carlo SimulationLarge number of samplings to achieve convergenceAvailability of High Performance Computing (HPC) Resources

Multi-core computer system (hardware)

Parallel computing algorithm (software)

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Slide15

NYISO HPC Environment

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Benefit from HPC Application

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Desktop/Laptop Performance Level: 4 hours

Slide17

Benefit from HPC Application

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Slide18

Questions?

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