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Next Generation of Transmission & Resource Planning Models at NYISO

Learn about the new models and processes used in transmission and resource planning at NYISO. Explore the regulations, planning process, and probabilistic models employed to ensure reliability. Discover the MARS model and the need for high-performance computing.

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Next Generation of Transmission & Resource Planning Models at NYISO

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  1. Next Generation of Transmission & Resource Planning Models at NYISO Henry Chao Vice President – System and Resource Planning New York Independent System Operator IEEE PES General Meeting 2015 July 29, 2015

  2. New York Control Area (NYCA) • A part of NPCC (Northeast Power Coordinating Council) region • Interconnected with PJM, ISO-NE, IESO (Ontario), and Hydro Quebec (HQ) • Eleven internal Load Zones

  3. NYCA Power System • NYCA System Peak Load Records • Summer: 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

  4. Regulations for NYISO Planning • Government • FERC orders and regulations • NYS Public Service Commission (PSC) policies and orders • Environmental Protection Agency (EPA) regulations • Reliability Organizations • NERC TPL reliability standards • NPCC Directory 1 reliability criteria • NYS Reliability Council (NYSRC) Reliability Rules • NYISO Tariffs

  5. NYISO Planning Process

  6. NYISO Planning Process (cont’d) • Special Studies for the Capacity Market • Installed Reserve Margin (IRM) Study • Current 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

  7. NYISO Planning Models • Deterministic vs. Probabilistic • Deterministic models still widely used • Analysis 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

  8. NYISO Probabilistic Models • NYCA Power System Design Criterion • NYCA LOLE shall be, on average, no more than 0.1 day/year • Software Tool • General Electric Multi-Area Reliability Simulation (GE-MARS) Program • Simulation Approach • Sequential Monte Carlo Simulation • Evaluate each hour through the year chronologically

  9. NYISO MARS Model

  10. Load Model • Baseline Peak Load Forecast • Value at the center (50/50) of Normalized probability density function • Load Forecast Uncertainty (LFU) • Model probability distribution of load forecast • Seven load bins covering the distribution range of ±3.5σ (standard deviation) • Load Shapes • Three load shapes with associated probabilities

  11. Capacity Model • Conventional Generator Units • Multi-capacity-state model with transition rates • Forced outage & derating status determined by random numbers during simulation • Transition 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

  12. Transmission Model

  13. Emergency Operating Procedures Model • Demand Resources • Special Case Resources (SCR) • Emergency Demand Response Programs (EDRP) • Emergency Operating Procedures (EOP) • Load control • Voltage reductions, voluntary industrial curtailment, general public appeals • Generation supplements • Emergency purchases, reducing operating reserves

  14. Need for High Performance Computing • Heavy Computation Burden • Increased dimensionality of interconnected systems in planning study models • Nature of Monte Carlo Simulation • Large number of samplings to achieve convergence • Availability of High Performance Computing (HPC) Resources • Multi-core computer system (hardware) • Parallel computing algorithm (software)

  15. NYISO HPC Environment

  16. Benefit from HPC Application Desktop/Laptop Performance Level: 4 hours

  17. Benefit from HPC Application

  18. Questions?

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