基于带辅助搜索空间的改进二进制粒子群算法的微网经济负荷分配研究  

Study on Economic Dispatch of Microgrid Based on Improved Binary Particle Swarm Optimization Algorithm with Auxiliary Search Space

作　　者：徐多[1] 李鹏[1] 

机构地区：[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

出　　处：《陕西电力》2014年第6期1-5,11,共6页Shanxi Electric Power

基　　金：国家自然科学基金资助项目(71071052)

摘　　要：研究了包括光伏电池、风机、微型燃气轮机、柴油发电机、燃料电池在内的微网的发电特性,考虑电压越限、功率平衡、微电源出力限制等约束条件,建立了以发电经济成本最小、环境成本最小的多目标微网经济负荷分配模型。针对二进制粒子群算法易"早熟"、容易陷入局部最优解的缺点,构造辅助搜索空间,改进二进制粒子群算法来求解该复杂非线性优化问题。对孤岛运行模式下的一个小型的含多种微电源的微网系统算例进行研究,仿真结果验证了模型的正确性和算法的有效性。The power generation characteristic of microgrid including photovoltaic cells,wind turbines,micro turbines,diesel generators and fuel cells is studied.With the voltage,power balance,microsources supply constraints,a multi-objective economic dispatch model of microgrid is established.Binary particle swarm algorithm has the disadvantage of premature,and is easy to fall into local optimal solution.Therefore,an auxiliary search space is built to improve binary particle swarm optimization algorithm,in order to solve the complicated nonlinear optimization problem.A small islanded microgrid system example,which contains a variety of microsources is studied.Simulation results verify the correctness of the proposed model and the availability of the algorithm.

关 键 词：微网 经济负荷分配 二进制粒子群算法 辅助搜索空间 

分 类 号：TM732[电气工程—电力系统及自动化]