引用本文:李 鹏,李 涛,张双乐,赵晓光.基于混沌二进制粒子群算法的独立微网系统的微电源组合优化[J].电力自动化设备,2013,33(12):
LI Peng,LI Tao,ZHANG Shuangle,ZHAO Xiaoguang.Combinatorial optimization of micro-sources in standalone microgrid based on chaotic binary particle swarm optimization algorithm[J].Electric Power Automation Equipment,2013,33(12):
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 4287次   下载 1768  
基于混沌二进制粒子群算法的独立微网系统的微电源组合优化
李 鹏1, 李 涛1, 张双乐2, 赵晓光3
1.华北电力大学 新能源电力系统国家重点实验室,河北 保定 071003;2.东营市供电公司,山东 东营 257091;3.保定天威风电科技有限公司,河北 保定 071051
摘要:
建立了多目标多约束的独立微网系统优化运行数学模型,以经济运行成本最小与系统网损最小构成多目标函数,采用赋权的方式将多目标转化成单目标,考虑功率平衡、电压越限、机组启停时间等约束条件,并计及了微网中可控型微电源的启停控制策略。将二进制粒子群算法与混沌优化算法相结合求解模型。典型微网模型仿真结果验证了所提算法与模型的正确性,采用所提方法可确保微网的优化经济运行。
关键词:  二进制粒子群  混沌理论  独立微网  可控型微电源  组合  优化
DOI:
分类号:
基金项目:国家自然科学基金资助项目(50977029);河北省自然科学基金资助项目(E2013502074)
Combinatorial optimization of micro-sources in standalone microgrid based on chaotic binary particle swarm optimization algorithm
LI Peng1, LI Tao1, ZHANG Shuangle2, ZHAO Xiaoguang3
1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Baoding 071003,China;2.Dongying Supply Company,Dongying 257091,China;3.Baoding Tianwei Wind Power Technology Co.,Ltd.,Baoding 071051,China
Abstract:
A multi-objective multi-constraint optimization model is built for the operation of standalone microgrid,which takes the minimum operational cost and the minimum grid loss as its multi-objective function,applies the weight assignment to convert the multiple objectives into single objective,considers the constraints of power balance,voltage limit and unit startup/shutdown time,and takes into account the startup/shutdown control strategy of controllable micro-sources in micrgrid. The binary particle swarm algorithm combined with the chaotic optimization algorithm is adopted to solve the model. The simulative results of a typical microgrid model verify the correctness of the proposed algorithm and model,which can be applied to ensure the optimized economic operation of microgrid.
Key words:  binary particle swarm  chaotic theory  standalone microgrid  controllable micro-source  combination  optimization

用微信扫一扫

用微信扫一扫