基于改进灰狼算法的微电网优化运行

Optimal Operation of Microgrid Based on Improved Gray Wolf Optimization Algorithm

针对微电网并网优化运行问题,建立考虑经济与生态环境的综合成本模型。采用可再生能源优先出力及分时电价策略,提出一种基于Sin混沌初始化种群、自适应调整控制参数、反向学习与柯西变异策略的改进灰狼算法。最后通过算例仿真,验证了改进灰狼算法的可行性与有效性。仿真结果表明:提出的改进灰狼算法较基础灰狼算法,其收敛速度更快,更容易跳出局部最优,全局寻优能力更强。

Aiming at the optimal operation of microgrid in grid-connected mode,a comprehensive cost model considering economy and ecological environment is established.The strategy of priority output of renewable energy and time of use electricity price is adopted,and an improved gray wolf algorithm based on Sin chaotic initialization population,adaptive adjustment of control parameters,the opposition-based learning and Cauchy mutation strategy is proposed.Finally,a simulation example is given to verify the feasibility and effectiveness of the improved gray wolf algorithm.The results show that compared with the basic gray wolf algorithm,the improved gray wolf optimization algorithm has faster convergence speed,easier to jump out of the local optimal solution,and stronger global optimization ability.