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An 8-Zone Test System Based on ISO New England Data: Development and Application

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  • Krishnamurthy, Dheepak
  • Li, Wanning
  • Tesfatsion, Leigh

Abstract

This study develops an open-source 8-zone test system for teaching, training, and research purposes that is based on ISO New England structural attributes and data. The test system models an ISO-managed wholesale power market populated by a mix of generating companies and load-serving entities that operates through time over an 8-zone AC transmission grid. The modular extensible architecture of the test system permits a wide range of sensitivity studies to be conducted. To illustrate the capabilities of the test system, we report energy cost-savings outcomes for a comparative study of stochastic versus deterministic DAM security constrained unit commitment (SCUC) formulations under systematically varied reserve requirement levels for the deterministic formulation.

Suggested Citation

  • Krishnamurthy, Dheepak & Li, Wanning & Tesfatsion, Leigh, 2016. "An 8-Zone Test System Based on ISO New England Data: Development and Application," ISU General Staff Papers 201601010800001449, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:201601010800001449
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    References listed on IDEAS

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    1. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    2. Li, Hongyan & Tesfatsion, Leigh, 2009. "Development of Open Source Software for Power Market Research: The AMES Test Bed," ISU General Staff Papers 200901010800001391, Iowa State University, Department of Economics.
    3. Hongyan Li & Leigh Tesfatsion, . "Development of open source software for power market research: the AMES test bed," Journal of Energy Markets, Journal of Energy Markets.
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    Cited by:

    1. Tao Chen & Qais Alsafasfeh & Hajir Pourbabak & Wencong Su, 2017. "The Next-Generation U.S. Retail Electricity Market with Customers and Prosumers—A Bibliographical Survey," Energies, MDPI, vol. 11(1), pages 1-17, December.
    2. Nguyen, Hieu T. & Felder, Frank A., 2020. "Generation expansion planning with renewable energy credit markets: A bilevel programming approach," Applied Energy, Elsevier, vol. 276(C).
    3. Shi, Jiantao & Guo, Ye & Shen, Xinwei & Wu, Wenchuan & Sun, Hongbin, 2024. "Multi-interval rolling-window joint dispatch and pricing of energy and reserve under uncertainty," Applied Energy, Elsevier, vol. 356(C).
    4. Pandžić, H. & Dvorkin, Y. & Carrión, M., 2018. "Investments in merchant energy storage: Trading-off between energy and reserve markets," Applied Energy, Elsevier, vol. 230(C), pages 277-286.
    5. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).
    6. Nguyen, Hieu Trung & Battula, Swathi & Takkala, Rohit Reddy & Wang, Zhaoyu & Tesfatsion, Leigh, 2019. "An integrated transmission and distribution test system for evaluation of transactive energy designs," Applied Energy, Elsevier, vol. 240(C), pages 666-679.
    7. Jun He & Andrew L. Liu, 2024. "Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach," Papers 2409.00107, arXiv.org.
    8. Li, Wanning & Tesfatsion, Leigh, 2017. "An 8-Zone ISO-NE Test System with Physically-Based Wind Power," ISU General Staff Papers 201701310800001017, Iowa State University, Department of Economics.

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