基于改进粒子群算法的风光燃储微电网多目标优化研究
Multi-Objective Optimization of Wind/PV/Gas/Storage Micro-Grid Based on Improved Particle Swarm Optimization
DOI: 10.12677/JEE.2018.64045, PDF,  被引量   
作者: 徐 海, 王 亮：江苏科能电力工程咨询有限公司，江苏 南京；李 振：国网山东省电力公司德州供电公司，山东 德州；丁树庆：南京特种设备安全监督检验研究院，江苏 南京
关键词: 多目标优化；风光燃储；分布式电源；改进粒子群算法；Multi-Objective Optimization； Wind and Light Storage； Distributed Power Supply； Improved Particle Swarm Optimization
摘要: 基于独立微电网运行的经济性、可靠性、环保性，建立了以太阳能、风能、微型燃气轮机、储能为分布式电源的多目标优化配置模型。通过分析风光燃储分布式电源的运行特性，以年气温、光照强度、风速作为输入，得到独立微电网多目标的最优配置方案。针对优化处理问题，提出了一种改进粒子群算法。结果表明，改进粒子群算法具有全局最优搜索能力强、寻优速度快的优点。通过数据仿真分析，证实了所建模型与所提方法的有效性。
Abstract: Based on the economy, reliability and environmental protection of independent micro-grid operation, a multi-objective optimal configuration model with solar energy, wind energy, micro gas generator and energy storage as distributed power source was established. By analyzing the operating characteristics of the distributed power supply of wind and light storage, the annual temperature, photovoltaic intensity and wind speed are taken as inputs to obtain the optimal configuration scheme of multi-objective of independent micro-grid. To solve the optimization problem, an improved particle swarm optimization algorithm is proposed. The results show that the improved particle swarm optimization algorithm has the advantages of strong global optimal search ability and fast optimization. The effectiveness of the proposed model and the proposed method is verified by simulation analysis.
文章引用：徐海, 王亮, 李振, 丁树庆. 基于改进粒子群算法的风光燃储微电网多目标优化研究[J]. 电气工程, 2018, 6(4): 380-388. https://doi.org/10.12677/JEE.2018.64045

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