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首页> 外文期刊>Modern Physics Letters, B. Condensed Matter Physics, Statistical Physics, Applied Physics >Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy
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Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy

机译:使用新型混合粒子群优化和引力搜索算法的日常经济调度运营管理,具有杂交突变策略

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摘要

This paper presents a hybrid particle swarm optimization and gravitational search algorithm based on hybrid mutation strategy (HGSAPSO-M) to optimize economic dispatch (ED) including distributed generations (DGs) considering market-based energy pricing. A daily ED model was formulated and a hybrid mutation strategy was adopted in HGSAPSO-M. The hybrid mutation strategy includes two mutation operators, chaotic mutation, Gaussian mutation. The proposed algorithm was tested on IEEE-33 bus and results show that the approach is effective for this problem.
机译:本文介绍了基于混合突变策略(HGSAPSO-M)的混合粒子群优化和重力搜索算法,以优化考虑基于市场的能源定价的分布代(DGS)的经济调度(ED)。 制定了每日ED模型,HGSAPSO-M中采用杂化突变策略。 杂化突变策略包括两个突变官员,混沌突变,高斯突变。 在IEEE-33总线上测试了所提出的算法,结果表明该方法对这个问题有效。

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