基于改进BPSO算法的微网中微电源的组合优化  

Research on Combination Optimization of Micro Power Source in Micro-grid Based on Improved Binary Particle Swarm Optimization Algorithm

作　　者：刘畅[1] 王维军[2] 

机构地区：[1]对外经贸大学国际商学院,北京100020 [2]华北电力大学经济管理系,河北保定071003

出　　处：《陕西电力》2014年第9期35-39,61,共6页Shanxi Electric Power

基　　金：国家自然科学基金资助项目(71071052)

摘　　要：深入分析了微网中微电源包括光伏发电、风力发电、微燃机、柴油发电机和燃料电池的电气特性,构建了多种微电网优化运行的模型,以微网的经济成本和环境成本最小为多目标函数,充分考虑了电压越限、功率平衡、微电源出力限制等约束条件,并应用改进BPSO算法进行求解。通过构造辅助搜索空间,提出了改进BPSO算法,解决了二进制粒子群算法易"早熟"、容易陷入局部最优解的问题。并通过典型的微网系统进行仿真分析,仿真结果验证了该算法的有效性。This paper deeply analyzes the electrical characteristic of micro power sources in micro-grid including photovoltaics generation, wind power, micro gas turbine, diesel generators and fuel cells. Taking the economic and environmental cost of the micro-grid as objective function, the paper establishes the multi-objective economic dispatch model with the constraints of over limited voltage, power balance, micro power sources supply. It can apply the improved BPSO algorithm in the optimization which can solve the disadvantage of premature and falling into local optimal solution of the BPSO. Simulation results verify the correctness of the proposed model and the availability of the algorithm.

关 键 词：微网 微电源 改进BPSO算法 组合优化 

分 类 号：TM715[电气工程—电力系统及自动化]