摘要
主动配电网(Active Distribution Network,ADN)故障恢复重构是多目标、多时段、非线性、多约束且不连续的复杂优化组合问题。为快速而有效的对ADN非故障失电区进行恢复供电,建立了故障恢复的重构模型;将含有分布式电源(Distributed Generation,DG)的ADN根据DG的类型分为两类进行故障重构;在确定故障恢复方法后,首先通过牛顿拉夫逊法潮流计算去掉不符合系统运行约束条件的开关组合;然后以遗传算法为基础,建立了三个目标函数,即最多失电负荷供电恢复数、最少开关操作数、最少恢复供电恢复后的网损,设置潮流、电压、电流等约束条件,根据适应度值的大小寻找供电恢复最优开关组合。基于IEEE33节点算例系统并利用MATLAB软件进行编程仿真实验,验证了所建立模型及提出方法的正确性和可行性。
Fault restoration and refactoring optimization in the active distribution network is a kind of complex combinatorial optimiza- tion problem, whose characteristic is multi-objective, multi-period, non-linear, multi-constrained and discontinuous. In order to restore the power rapidly and effectively in ADN＇s section of non-fault power-losing and establish a reconstruction model of fault restoration, ADN should be divided into two categories according to the type of DG （Distributed Generation） which is containing in ADN to reconstruct model. After determining the method of recovery, the following steps should be carried out. Firstly, switch combination which can＇t meet to the system operating constraint should be removed by using Newton Raphson power flow calculation. Then, three objective functions should be established basing on genetic algorithms. They are Maximum number of power supply recovery. Least number of switches,Net loss recovery after recovery power loss. At the same time, the trend, voltage and current constraints should be set and look for the hest power recovery switch combination according to the size of the fitness value. At last, programming simulation should be conducted by using MATLAB software and IEEE33 example node system to verify the correctness and feasibility of the above established model and the proposed method.
出处
《中国农机化学报》
2016年第3期265-269,275,共6页
Journal of Chinese Agricultural Mechanization
基金
国家科技部科技支撑计划项目(2012BAJ26B00)
国网河南内黄县供电公司科技项目(201508)
关键词
主动配电网
分布式电源
故障恢复重构
遗传算法
active distribution network
distributed generation
fault recovery and reconstruction
genetic algorithm
