模糊遗传算法在配电网络综合优化中的应用  

Application of Fuzzy Genetic Algorithm to Optimal Coordination of Distribution Network

作　　者：刘莉[1,2] 宛力[3] 陈学允[1] 

机构地区：[1]哈尔滨工业大学 [2]沈阳电力高等专科学校,辽宁沈阳110036 [3]沈阳电力高等专科学校

出　　处：《电力自动化设备》2001年第1期14-16,共3页Electric Power Automation Equipment

摘　　要：网络重构和电容器投切是配电自动化的两个重要内容 ,是配电网降低网损、安全经济运行的重要措施。两者的综合优化问题比较复杂 ,用传统算法难以同时进行。提出用遗传算法从全局角度进行求解 ,将开关状态变量和电容器投切组数变量同时作为控制变量。为加快收敛速度 ,根据种群进化情况对交叉率和变异率进行在线模糊控制。算例表明该方法不依赖于网络初始状态 ,易于处理整数约束问题 ,优化效果好。另外 ,对配电网络进行综合优化 ,能大幅度地降低网损 ,改善电压质量 。Network reconfiguration and capacitor switching are two important measures to decrease network loss and ensure safe and economic operation in power distribution automation. The optimal coordination of them is quite complicated and the traditional algorithms could not be applied to optimize both of them at the same time. The genetic algorithm is applied to obtain the solution from the whole network by taking both switch state and capacitor set number as the control variables. In order to speed up the convergence, the crossover and mutation rates are adjusted with on line fuzzy control according to the evolution situation. The example shows that the algorithm is independent of network initial state, the integer constraint is easy to deal with and the optimization effect is better. Moreover, the optimal coordination of distribution network can greatly decrease network loss, improve power quality and increase the economy and safety of power supply.

关 键 词：配电网络 电容器投切 遗传算法 配电自动化 综合优化 数学模型 

分 类 号：TM76[电气工程—电力系统及自动化] O243.23[理学—计算数学]