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

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.

[1]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[2]  G.T. Heydt,et al.  A Breaker-Oriented, Three-Phase IEEE 24-Substation Test System , 2010, IEEE Transactions on Power Systems.

[3]  L. Tesfatsion,et al.  Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework , 2007 .

[4]  Fangxing Li,et al.  Small test systems for power system economic studies , 2010, IEEE PES General Meeting.

[5]  James E. Price,et al.  Reduced network modeling of WECC as a market design prototype , 2011, 2011 IEEE Power and Energy Society General Meeting.

[6]  Mohammad Shahidehpour,et al.  The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .

[7]  John Lygeros,et al.  A Probabilistic Framework for Reserve Scheduling and ${\rm N}-1$ Security Assessment of Systems With High Wind Power Penetration , 2013, IEEE Transactions on Power Systems.

[8]  Arthur R. Bergen,et al.  Power Systems Analysis , 1986 .

[9]  Dawn Hunter,et al.  Development of open source software for power market research: the AMES test bed , 2009 .

[10]  Antonio J. Conejo,et al.  Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power , 2009, IEEE Transactions on Power Systems.

[11]  James D. McCalley,et al.  A Computational Strategy to Solve Preventive Risk-Based Security-Constrained OPF , 2013, IEEE Transactions on Power Systems.

[12]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.

[13]  A. Papavasiliou,et al.  Reserve Requirements for Wind Power Integration: A Scenario-Based Stochastic Programming Framework , 2011, IEEE Transactions on Power Systems.

[14]  Werner Römisch,et al.  Scenario Reduction Algorithms in Stochastic Programming , 2003, Comput. Optim. Appl..

[15]  Bikash C. Pal,et al.  Report on the 68-bus, 16-machine, 5-area system , 2013 .

[16]  J. Schretter.  FERC's mega-NOPR. [Federal Energy Regulatory Commission, Notice of Proposed Rulemaking] , 1991 .