基于混沌粒子群优化算法的微电网优化运行技术

Optimizing Technology for Micro Grid Operation Based on Chaos Particle Swarm Optimization Algorithm

以混沌粒子群优化算法为基础进行微电网优化运行技术的研究。首先,通过基于线性微分递减策略的惯性权重的引入,避免算法陷入局部最优;同时,采用线性调整的学习因子的选取增强算法的全局搜索能力;在此基础上,将粒子群优化算法与混沌理论相结合,通过增加粒子的随机性与遍历性,进一步解决传统粒子群算法容易出现早熟和搜索能力不强的问题;然后,在光伏电池、风力发电机等微电源模型构建基础上,考虑到功率平衡、微电源输出功率等约束条件,设计微电网优化运行目标函数,保障其运行成本最优;最后,通过对IEEE-14节点模型的微电网系统仿真对比,验证了算法的可行性与有效性。

This paper proposes a chaotic particle swarm optimization algorithm for the micro grid optimizing operation.Firstly,in order to avoid the local optimum during the optimized process,the weight of inertia was introduced based onlinear differential decrease strategy,and the learning factor was selected to enhance the global search ability of the algo-rithm. On this basis,the chaos theory was introduced to combine with the traditional particle swarm algorithm to en-hance the randomness and ergodicity of the particle. Furthermore,the objective function of the operation of micro gridwas designed depend on the foundation of models such as photovoltaic cell and wind driven generator to optimize the op-eration cost. Finally,an instance of micro grid based on IEEE-14 model was analyzed. The simulation shows that theproposed algorithm is feasibility and validity.