系统仿真学报 ›› 2018, Vol. 30 ›› Issue (2): 636-646.doi: 10.16182/j.issn1004731x.joss.201802033

• 仿真应用工程 • 上一篇    下一篇

基于免疫粒子群算法的微电网经济运行优化

高聪, 吴定会, 潘庭龙, 纪志成   

  1. 江南大学轻工过程先进控制教育部重点实验室 江苏 无锡 214122
  • 收稿日期:2016-01-29 出版日期:2018-02-08 发布日期:2019-01-02
  • 作者简介:高聪(1993-),男,山西太原,硕士,研究方向为微电网经济优化;吴定会(1970-),男,安徽合肥,博士,副教授,研究方向为微网经济优化和物联网技术;潘庭龙(1976-),男,江苏建湖,博士,教授,研究方向为微网经济优化。
  • 基金资助:
    国家自然科学基金(61572237,61573167)

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

Gao Cong, Wu Dinghui, Pan Tinglong, Ji Zhicheng   

  1. Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China
  • Received:2016-01-29 Online:2018-02-08 Published:2019-01-02

摘要: 微电网经济运行优化问题的求解常常伴随着多约束、非连续和多发电机组等问题的制约。针对该问题,提出一种免疫粒子群算法,算法将人工免疫系统引入到粒子群算法中,既能保证算法本身的收敛性,也能在免疫环节中使粒子较为均匀地分布于解空间内,因而保证了算法的全局寻优能力和鲁棒性。将该算法分别用于求解微电网的孤岛、并网两种运行两种模型实例,并与其他三种算法进行比较,实验结果表明该算法可以有效求解微电网经济优化问题。

关键词: 免疫粒子群算法, 经济运行优化, 微电网模型, 微电网运行方式, 免疫机制

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

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