Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization

doi:10.3390/en10030339

Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization

2017-03-09

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DOI：10.3390/en10030339

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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 proﬁts 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 beneﬁcial to the practical application. Furthermore, the possible proﬁt interval and the expected optimal proﬁt can be determined by solving the optimization model. Numerical simulations are performed on a microgrid system modiﬁed from the benchmark low voltage network in the European Union project “Microgrid”, and the results demonstrate the effectiveness of the proposed method.

Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization

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