电力系统保护与控制Issue(13)：13-20,8.
采用PSO-BF算法的微电网多目标电能优化调度
Multi-objective optimal dispatch of microgrid using particle swarm optimization combined with bacterial foraging algorithm
摘要
Abstract
Given the features of each distributed power in the microgrid and the purpose of maximizing the advantages of the techiques of distributed generation which are shown in the aspects of economy, environment and energy, after meeting the constraints from the system, this paper proposes an economic dispatching model of the multi-objective microgrid which is an integrated consideration of the running costs, voltage bias and the capability of cutting the summit and filling the peak valley of the microgrid. Meanwhile, it’s easy to sink into the shortage of partial optimization while coping with the issue of optimization when the calculation of PSO is adopted, in order to avoid this shortage this paper proposes PSO-BF to solve the problem of optimal dispatch in the microgrid. Moreover, the emulating results show that the calculation of PSO-BF has the features of the whole and partial searching capabilities, fast convergence and high accuracy.关键词
微电网/粒子群-细菌觅食算法/优化调度/运行优化/多目标Key words
microgrid/particle swarm optimization combined with bacterial foraging algorithm/optimal dispatch/operation optimization/multi-objective分类
信息技术与安全科学引用本文复制引用
杨毅,雷霞,徐贵阳,吴泓俭,卢杨..采用PSO-BF算法的微电网多目标电能优化调度[J].电力系统保护与控制,2014,(13):13-20,8.基金项目
国家自然科学基金项目（51007006）；电力电子节能技术与装备重点实验室开放基金（szjj2014-015）；四川省教育厅重点项目（11za002）This work is supported by National Natural Science Foundation of China (No.51007006) （No.51007006）
