Optimal Economic Dispatch of Microgrid Based on Immune Particle Swarm Optimization Algorithm

doi:10.16182/j.issn1004731x.joss.201802033

Abstract

Abstract: Some restrictions are accompanied when solving the optimal economic dispatch of microgrid, such as multi-constraints, discontinuities and multi-generators. An immune particle swarm optimization (IMPSO) algorithm is proposed, which introduces the artificial immune system into particle swarm optimization (PSO) algorithm and can ensure the PSO convergence as well as exerting the immune mechanism to make the particles uniformly distributed in solution plane. The algorithm possesses the virtues like global probe and robustness and is used to solve two operating modes of island and grid- connected in microgrid respectively. The experimental results show that the IMPSO provides a feasible and advanced method in comparison with other three intelligent algorithms.

Key words: immune particle swarm optimization, economic dispatch, microgrid model, microgrid operation mode, immune mechanism

CLC Number:

TP391.9

Gao Cong, Wu Dinghui, Pan Tinglong, Ji Zhicheng. Optimal Economic Dispatch of Microgrid Based on Immune Particle Swarm Optimization Algorithm[J]. Journal of System Simulation, 2018, 30(2): 636-646.

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