混合粒子群算法在微电网经济优化运行的应用

Economic optimization operation of the microgrid using the hybrid particle swarm optimization algorithm

中文关键词  微电网模型  微电网运行方式  混合粒子群算法  经济运行  优化

英文关键词  microgrid model  microgrid operation mode  hybrid particle swarm optimization algorithm  economic operation  optimization

中文摘要

      微电网经济优化运行是一个连续的多约束优化问题, 其不仅需要对同一时刻的不同微源作出优化, 也要协 调微源在不同时刻的出力来满足电力供给和负荷需求之间的约束. 针对微电网经济优化运行问题, 提出一种混合 粒子群算法. 该算法在随机权重平衡粒子群算法的基础上, 引入了免疫机制, 使初始粒子的位置较为均匀地分布在 坐标平面内. 而对于粒子的速度与方向, 提出一个非线性权重以提升算法的寻优能力, 并加入了次梯度寻优, 加快了 算法的收敛速度. 通过该算法对微电网中可控微源的输出功率做出动态部署, 引入微电网系统的市场机制可以有效 调配各微源的输出功率, 从而提升微电网运行的经济效益. 通过对微电网孤岛和并网运行方式进行实例仿真, 验证 了该方法对微电网经济优化问题具有良好的经济优化作用.

英文摘要

      The economic operation of the microgrid is a continuous optimization problem with multi-constraints, it not only optimizes each power resource to achieve the optimal condition, but also coordinates various power resources to satisfy the power constraint between the supplement and demand in different periods. A hybrid particle swarm optimization algorithm is proposed in this paper which is based on the stochastic weight trade-off particle swarm optimization algorithm, the immune mechanism is introduced to uniformly distribute particles in the coordinate plane. Furthermore, the nonlinear weight is integrated to improve the searching ability and the sub-gradient method is presented to accelerate the convergence rate. Each controllable power resource is deployed dynamically. The electricity market mechanism is added into the microgrid system to dispatch power resources with more effective and to achieve the economic benefits. The simulation results of the island and grid-connected operation modes show the effectiveness and validity of the proposed algorithm.