【摘要】 针对目前电力系统中的无功优化问题尚缺乏一种能兼顾求解的高效性与全局搜索最优性的方法,文中将一种新的启发式算法-鲸鱼优化算法(WOA)运用到电网无功优化调度中,以系统有功功率损耗最低为目标函数,通过引入惩罚函数建立无功优化模型,对IEEE-14节点系统与IEEE-30节点系统进行仿真,并利用单因素方差分析法(One-way ANOVA)将所得结果与之前的粒子群优化算法(PSO)及引入加速度系数的时变粒子群优化(PSOTVAC)进行比较,研究表明WOA算法在迭代次数、搜索能力及收敛问题上的潜力,并证明了在解决电力系统无功优化问题上的鲁棒性和有效性,同时也为解决非线性约束问题提供了新途径。更多还原

【Abstract】 In order to solve the problem of reactive power optimization in power system,which is still lack of a method that taking into account both the efficiency of optimization and the global searching optimality. In this paper,a new heuristic algorithm called whale optimization algorithm( WOA) is applied to grid reactive power optimization,which takes the lowest active power loss of the system as the objective function,and a reactive power optimization model is established by introducing a penalty function to simulate the IEEE 14-bus system and the IEEE 30-bus system. One-way ANOVA is used to compare the results of particle swarm optimization( PSO) algorithm and the particle swarm optimization with time varying acceleration coefficients( PSO-TVAC). The results show that the WOA algorithm has better performance in iteration times.It also proves the robustness and effectiveness on resolving the reactive power optimization problem of power system,and provides a new way to solve the nonlinear constraint problem.更多还原