Journal of System Simulation
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.
Recommended Citation
Cong, Gao; Wu, Dinghui; Pan, Tinglong; and Ji, Zhicheng
(2019)
"Optimal Economic Dispatch of Microgrid Based on Immune Particle Swarm Optimization Algorithm,"
Journal of System Simulation: Vol. 30:
Iss.
2, Article 33.
DOI: 10.16182/j.issn1004731x.joss.201802033
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss2/33
First Page
636
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201802033
Last Page
646
CLC
TP391.9
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.201802033
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