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基于改进粒子群优化算法的微电网孤岛选址定容 被引量:1

Stand alone Microgrid Locating and Sizing Based on Improved Particle Swarm Optimization Algorithm
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摘要 分析了在重要孤立系统中采用微电网供电的必要性,在此基础上提出了采用由非支配排序法和拥挤距离排序法改进的粒子群算法进行微电网选址定容,其目的是改进多目标微电网规划问题的优化结果。通过改进算法与基本算法算例结果的对比分析,验证了改进算法在求解孤岛选址定容问题上具有较强的寻优能力、较高的收敛精度和较稳定的最优解,为进一步研究微电网孤岛选址定容问题提供了思路。 The necessity of adopting microgrid power supply in an important isolated system is analyzed, and a new particle swarm algorithm improved by the non-dominated sorting and crowding distance sorting method is proposed to carry on the reasonable locating and sizing of microgrid. The improved algorithm is aimed at optimizing the results of multi-objective planning of microgrid. By the comparison of results calculated respectively with the improved algorithm and the original algorithm, it is proved that the improved algorithm has stronger searching ability with better convergence precision and more stable optimal results in solving the stand-alone microgrid planning problem.
出处 《后勤工程学院学报》 2015年第2期79-83,共5页 Journal of Logistical Engineering University
关键词 微电网 孤岛选址定容 改进粒子群优化算法 孤立系统 microgird stand-alone locating and sizing improved particle swarm optimization algorithm isolated system
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