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PNM Wind Resource Integration Study

Electric Services. Transmission Operations. PNM Wind Resource Integration Study. Preliminary Results. Abraham Ellis Public Service Company of New Mexico. PNM Balancing Authority. Small, not much flexibility 2500 MW summer peak, 1200 MW spring off-peak

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PNM Wind Resource Integration Study

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  1. Electric Services Transmission Operations PNM Wind Resource Integration Study Preliminary Results Abraham Ellis Public Service Company of New Mexico

  2. PNM Balancing Authority • Small, not much flexibility • 2500 MW summer peak, 1200 MW spring off-peak • A few units in service at the time (mainly large, slow coal units) • Market structure not fully developed • Bilateral transactions • Hourly energy market, tags • Hard to find market-based regulation product • Windy present and future • 294 MW installed, 204 MW within BA (NMWEC) • 350 MW signed IA, >8000 MW queued

  3. PNM Wind Integration Study • Principal Concerns • Reliability: CPS-2 performance • Impact on operating cost • Impact on thermal unit wear-and-tear • Study Goals • Quantify integration cost with increased penetration • Identify strategies to reduce operating cost • Provide guidance and training tools for BA operators • Use study methodology that takes into account PNM’s special circumstances

  4. Study Scenarios

  5. High-Resolution Wind Time Series • NMCC Database X - # 601 McKinley 100 MW Union / Harding 200 MW X - # 603 X - # 602 Torrance X - # 604 100 MW X - # 605 Guadalupe / DeBaca 100 MW X - # 606

  6. Instructor Control Component Events Simulation control Load Model Power Flow Solution Topology Processing e-terra Simulator (DTS) Overview AREVA e-terrasimulator (standalone) Instructor/Analyst Chronological Input Data Load, wind generation, schedules Power System Simulation Component Prime movers Performance Output Data Production cost, Frequency, CPS1, CPS2, regulating reserves, unit starts/stops, etc Relays EMS Component Data retrieval Controls Network Applications SCADA Applications Generation Applications Simulation could at 20x real-time (in theory…) Trainee/Analyst

  7. Lessons Learned • DTS platform holds much promise • Analytical investigations • EMS and AGC optimization • Training • Complexity of the environment is an obstacle • Software • Application • Alternate approach had to be used to estimate impacts • See next slide

  8. A Different Approach to Estimate Incremental Reserve Requirements • WECC methodology (Operating Reserves White paper) provides basis that can be extended for wind generation • Elements • Actual variability • Short-term uncertainty (forecast error) • Should capture within-the-hour impacts more realistically than a simple statistical analysis

  9. Regulating Reserve Requirement Incremental Regulating Reserve Requirement Average Std. Deviation of Case Hourly Regulating Reserve Regulating Reserve NOTE: PRELIMINARY RESULTS Requirement Requirement Load Only 49.9 MW 6.3 MW - 200 MW 55.7 MW 6.9 MW 5.8 MW 300 MW 63.6 MW 8.1 MW 13.7 MW 400 MW 80.8 MW 10.2 MW 30.9 MW (*) Scenarios may exceed physical capability of PNM’s Balancing area. 700 MW * 112.3 MW 10.2 MW 62.4 MW 1200 MW * 167.8 MW 16.0 MW 117.9 MW

  10. Short-Term Ramping Requirement NOTE: PRELIMINARY RESULTS Possible impact on CPS-2

  11. Preliminary Conclusions • With existing PNM generation mix, cost of regulating a “large” amount of wind in PNM’s control area is “very high” • Regulation cost for 400MW total wind 5 times higher compared to cost of regulating 200MW total wind • Operating models show that physical limits are reached with approximately 700 MW of wind generation • Much more wind can be added with Dynamic Scheduling • Follow-up questions • Cost recovery under transmission tariff • What about market-based regulation capacity? • How to reduce impacts • ADI, Dynamic Scheduling, Flexible generation, Markets

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