基于改进自适应遗传算法的分布式电源的选址和定容  

Location and Sizing of Distributed Generation Based on Improved Self-adaptive Genetic Algorithm

作　　者：周巧俏 汤云岩 海晓涛[2] 

机构地区：[1]浙能兰溪发电有限责任公司,浙江兰溪321110 [2]中国电力科学研究院,北京100192

出　　处：《陕西电力》2010年第6期40-44,共5页Shanxi Electric Power

摘　　要：对分布式电源进行合理的选址和定容对于配电网规划非常重要。考虑了经济性和安全性2个方面的问题,建立了以分布式电源投资成本最小、系统网损最小和静态电压稳定裕度最大为优化子目标的多目标规划模型。用模糊理论制定了总体满意度,将上述3个优化子目标转化为单一目标函数,应用改进自适应遗传算法,对IEEE33节点配电测试系统进行仿真计算,并将仿真结果与遗传算法进行比较,验证了改进的算法具有一定的收敛性和适应性。Reasonable location and optimal sizing are crucially important to the planning of distribution system.A multi-objective optimal scheme based on considering economy and security is proposed in this paper,which including the minimum investment cost of distributed generation,minimum power loss of distribution network and the maximum static voltage stability margin.The paper introduces total satisfied degree by employing the fuzzy theory,which makes a good way to transform multi-objective into single objective function.A new improved self-adaptive genetic algorithm is employed to solve the planning model.The case studies have been carried out on IEEE-33 bus distribution test system,the simulation results show that the proposed algorithm has more convergence speed and favorable self-adaptive characteristics than genetic algorithm.

关 键 词：分布式电源 选址和定容 多目标优化 模糊理论 改进自适应遗传算法 

分 类 号：TM619[电气工程—电力系统及自动化]