Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 66, Issue 2, Pages 1565-1575Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2018.2840498
Keywords
Chance-constrained programming (CCP); discretized step transformation (DST); distributed energy resources (DERs); isolated microgrids; optimal scheduling; spinning reserves; uncertainties
Categories
Funding
- U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability - Advanced Grid Modeling Program
- China Scholarship Council [201608220144]
- National Natural Science Foundation of China [51677022]
- National Key Research and Development Program of China [2017YFB0903400]
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By modeling the uncertainty of spinning reserves provided by energy storage with probabilistic constraints, a new optimal scheduling mode is proposed in this paper for minimizing the operating costs of an isolated microgrid (MG) by using chance-constrained programming. The model is transformed into a readily solvable mixed integer linear programming formulation in general algebraic modeling system (GAMS) via a proposed discretized step transformation approach and finally solved by applying the CPLEX solver. By properly setting the confidence levels of the spinning reserve probability constraints, the MG operation can achieve a tradeoff between reliability and economy. The test results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab MG test system reveal that the proposal significantly exceeds the commonly used hybrid intelligent algorithm with much better and more stable optimization results and significantly reduced calculation times.
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