NDLI: Stochastic Optimal Operation of Microgrid Based on Chaotic Binary Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Peng Li Duo Xu Zeyuan Zhou Wei-Jen Lee Bo Zhao
Copyright Year	2010
Abstract	Based on fuzzy mathematics theory, this paper proposes a fuzzy multi-objective optimization model with related constraints to minimize the total economic cost and network loss of microgrid. Uncontrollable microsources are considered as negative load, and stochastic net load scenarios are generated for taking the uncertainty of their output power and load into account. Cooperating with storage devices of the optimal capacity controllable microsources are treated as variables in the optimization process with the consideration of their start and stop strategy. Chaos optimization algorithm is introduced into binary particle swarm optimization (BPSO) to propose chaotic BPSO (CBPSO). Search capability of BPSO is improved via the chaotic search approach of chaos optimization algorithm. Tests of four benchmark functions show that the proposed CBPSO has better convergence performance than BPSO. Simulation results validate the correctness of the proposed model and the effectiveness of CBPSO.
Starting Page	66
Ending Page	73
Page Count	8
File Size	1471066
File Format	PDF
ISSN	19493053
Volume Number	7
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microgrids Optimization Chaos Power generation Particle swarm optimization Benchmark testing Indexes uncertainty Binary particle swarm optimization (BPSO) chaos optimization microgrid microsource optimal operation
Content Type	Text
Resource Type	Article
Subject	Computer Science

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