基于改进灰狼算法的独立微电网容量优化配置

OPTIMAL CONFIGURATION OPTIMIZATION OF ISLANDED MICROGRID USING IMPROVED GREY WOLF OPTIMIZER ALGORITHM

为降低独立微电网的综合发电成本,提高供电可靠性,研究基于改进灰狼优化算法的独立微电网电源容量优化配置方法。针对基本灰狼算法在进化后期由于种群多样性的缺失而易出现局部收敛或算法早熟的问题,提出一种具有全局寻优性能的改进灰狼优化算法。改进算法首先利用Tent混沌序列产生初始种群,以增强种群的多样性;其次,通过对收敛因子设置非线性调整策略来调节算法的全局探索与局部开发之间的平衡,提高算法的收敛性;最后引入柯西变异算子有效降低算法出现早熟收敛的概率,从而全面提高算法的优化性能。在分析风力发电机-光伏组件-蓄电池/柴油发电机独立微电网各发电单元特性的基础上,建立以年均系统成本最小化为目标的独立微电网容量优化配置模型,并利用提出的改进灰狼优化算法对该模型进行优化求解,仿真结果证明该算法具有一定的实用性和鲁棒性。

An improved grey wolf optimization(IGWO)algorithm is presented to determine the optimal combination of a WT-PV-BSDE islanded microgrid in order to achieve a cost effective and reliable hybrid generation system.As the traditional grey wolf optimization(GWO)algorithm has the disadvantages of slow convergence and high possibility of being trapped in local optimum,the proposed IGWO algorithm used Tent chaos mapping strategy to generate the initial population,which increases the diversity of the population.Then,the convergence factor is dynamically adjusted to maintain a better balance between global search and local search.Thirdly,Cauchy mutation operator is carried out on the current optimal individual of each generation,thus it could effectively jump out of local minima.Finally,the IGWO is applied for optimal sizing of wind power-photovoltaic modules cells-battery storage-diesel generation islanded microgrid,in which the optimization objective is minimizing of annualized system cost and the constraint condition are power supply reliability.The results show the effectiveness and applicability of the proposed method.