Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch

Zhang Qian; Ding Jinjin; Shen WeixiangMa JinhuiLi Guoli

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Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch

机译：Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch

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Multiobjective optimization (MOO) dispatch for microgrids (MGs) can achieve many benefits, such as minimized operation cost, greenhouse gas emission reduction, and enhanced reliability of service. In this paper, a MG with the PV-battery-diesel system is introduced to establish its characteristic and economic models. Based on the models and three objectives, the constrained MOO problem is formulated. Then, an advanced multiobjective particle swarm optimization (MOPSO) algorithm is proposed to obtain Pareto optimization dispatch for MGs. The combination of archive maintenance and Pareto selection enables the MOPSO algorithm to maintain enough nondominated solutions and seek Pareto frontiers. The final trade-off solutions are decided based on the fuzzy set. The benchmark function tests and simulation results demonstrate that the proposed MOPSO algorithm has better searching ability than nondominated sorting genetic algorithm-II (NSGA-II), which is widely used in generation dispatch for MGs. The proposed method can efficiently offer more Pareto solutions and find a trade-off one to simultaneously achieve three benefits: minimized operation cost, reduced environmental cost, and maximized reliability of service.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第9期|5695917.1-5695917.13|共13页
作者
Zhang Qian; Ding Jinjin; Shen WeixiangMa JinhuiLi Guoli;
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作者单位

Anhui Univ, Dept Elect Engn & Automat, Hefei 230039, Peoples R China|Anhui Univ, Engn Res Ctr Power Qual, Minist Educ, Hefei 230039, Peoples R China;

Anhui Elect Power Sci Res Inst, Hefei 230601, Peoples R China;

Swinburne Univ Technol, Elect Engn, Fac Sci Engn & Technol, Melbourne, Vic 3059, AustraliaState Grid Anhui Elect Power Co Ltd, Hefei 230061, Peoples R ChinaAnhui Univ, Engn Res Ctr Power Qual, Minist Educ, Hefei 230039, Peoples R China;

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Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch

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