摘要
为提高配电网故障定位的速度和准确性,提出了一种基于改进麻雀算法的配电网故障定位方法。在麻雀算法中引入混沌初始化无限折叠迭代混沌映射,并对该映射方法进行了取固定参数和取模改进。建立了基于配电网结构和逻辑关系的开关函数;在此基础上,针对不同的配电网结构建立了相应的故障定位数学模型,并对单一电源、多电源配电网设定了不同的目标函数。在单一故障场景、有信息畸变的单一故障场景、多故障场景、有信息畸变的多故障场景中进行仿真测试。测试结果验证了该算法的准确性和有效性。在IEEE33节点场景下,将该方法与粒子群算法、遗传算法、蝙蝠算法进行了比较。结果表明,在模型建立正确的情况下,算法收敛速度更快,且具有很好的寻优能力。
In order to improve the speed and accuracy of fault location in distribution network,a fault location method of distribution network based on improved sparrow algorithm is proposed.In the sparrow algorithm,chaos initialization infinite folding iterative chaos mapping is introduced,and the mapping method is improved by taking fixed parameters and modulus.A switching function is established based on the structure and logical relationship of the distribution network.On this basis,the corresponding fault location mathematical model is established for different distribution network structures,and different objective functions are set for single power supply and multi-power distribution network.Simulation tests are carried out in single-fault scenarios,single-fault scenarios with information distortion,multi-fault scenarios,and multi-fault scenarios with information distortion.The test results show that the algorithm is accurate and effective.In the IEEE33 node scenario,the method is compared with the particle swarm algorithm,genetic algorithm,and bat algorithm.The results show that the algorithm converges faster and has a good optimization ability when the model is established correctly.
作者
张昊立
张菁
倪建辉
陈龙
高典
ZHANG Haoli;ZHANG Jing;NI Jianhui;CHEN Long;GAO Dian(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 200000,China)
出处
《电力科学与工程》
2022年第11期25-33,共9页
Electric Power Science and Engineering
关键词
配电网
故障定位
信息畸变
麻雀算法
混沌
distribution network
fault location
information distortion
sparrow algorithm
chaos
