| 引用本文: | 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,2014,42(13):13-20.[点击复制] |
| YANG Yi,LEI Xia,XU Gui-yang,WU Hong-jian,LU Yang.Multi-objective optimal dispatch of microgrid using particle swarm optimization combined with bacterial foraging algorithm[J].Power System Protection and Control,2014,42(13):13-20[点击复制] |
|
| 摘要: |
| 考虑到微电网中各分布式电源的特点以及充分发挥分布式发电技术在经济、环境和能源方面的优势,在满足系统约束条件下，提出了一种综合考虑微电网的运行成本、电压偏差以及微电网削峰填谷能力的微电网多目标经济调度模型。同时针对粒子群算法(PSO)在求解优化问题时易陷入局部最优的缺点，提出一种粒子群-细菌觅食算法(PSO-BF)用于求解微电网电能优化调度问题。仿真结果表明该算法具有较强的全局、局部搜索能力且收敛速度快、精度高的特点。 |
| 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 |
| DOI： |
| 投稿时间：2013-09-18修订日期：2014-03-10 |
| 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） |
|
| Multi-objective optimal dispatch of microgrid using particle swarm optimization combined with bacterial foraging algorithm |
| YANG Yi,LEI Xia,XU Gui-yang,WU Hong-jian,LU Yang |
| (Key Laboratory of Power Electronic Energy-saving Technology & Equipment, Xihua University, Chengdu 610039, China) |
| 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. |
| Key words: microgrid particle swarm optimization combined with bacterial foraging algorithm optimal dispatch operation optimization multi-objective |
