分布式电源配电网模糊多目标无功优化配置

Fuzzy Multi-objective Reactive Power Optimization of Distribution Network With Distributed Generation

利用概率统计的方法对分布式电源输出功率和故障停运的随机特性进行评估,采用离散概率分布表示分布式电源输出功率和可用率的随机变化特性。以电压偏差最小、电网运行经济效益最大化为多目标函数,建立基于离散概率模型的分布式电源配电网多目标无功补偿优化配置的模型。通过模糊理论重新定义目标函数的隶属度函数,将目标函数模糊处理,并运用最大化满意度指标法将文中所建立的多目标优化问题转化为单目标优化问题,协调了多目标之间的关联性,然后采用多种群遗传算法求解优化问题。最后以IEEE33节点配电系统测试为例,结果表明所提方法的可靠和实用性。

Probability statistics method is used to assess distributed power supply output power and the random nature of fault. Discrete probability is used to present the distributed output power and availability of random variation. By taking voltage deviation minimum and power maximum benefit as multiple objective functions, multi-objective optimal allocation model of reactive power compensation for dis- tribution network is set up based on discrete probability model. Through the membership function of fuzzy theory to redefine the objec- tive function, fuzzy processing is made for the objective function. The established multi-objective optimization problem is transformed into single objective optimization problem by applying the method of maximum satisfaction index. Multiple-population genetic algorithm is used for solving the optimization problems. Finally, taking the test of the IEEE33 node power distribution system as an example, the results show that the proposed method is reliable and practical.