Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization
Chongxin Huang,
Dong Yue,
Song Deng and
Jun Xie
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Chongxin Huang: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Dong Yue: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Song Deng: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Jun Xie: College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Energies, 2017, vol. 10, issue 3, 1-23
Abstract:
In this paper, an optimal day-ahead scheduling problem is studied for a microgrid with multiple distributed resources. For the sake of coping with the prediction uncertainties of renewable energies and loads and taking advantage of the time-of-use price for buying/selling electricity, an interval-based optimization model for maximum pro?ts is developed. To reduce the computational complexity in solving the model, the possibility degree comparison between an interval and a real number is used to convert the interval constraints into the general ones; meanwhile, some slack variables and complementary conditions are introduced to eliminate the absolute-value operation. Unlike the stochastic optimization, the interval optimization only needs the upper-lower bounds of the uncertain variables instead of their probability distribution functions, which is bene?cial to the practical application. Furthermore, the possible pro?t interval and the expected optimal pro?t can be determined by solving the optimization model. Numerical simulations are performed on a microgrid system modi?ed from the benchmark low voltage network in the European Union project “Microgrid”, and the results demonstrate the effectiveness of the proposed method.
Keywords: optimal scheduling scheme; microgrid; interval optimization; distributed resources (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)
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