摘要
针对配电网分布式馈线传输工作负荷较大,导致整个配电网的稳定与安全的不确定度增多的问题,设计一种适用于分布式馈线终端的量子技术应用系统,实现对配电网分布式馈线终端的故障定位。利用基于量子技术的粒子群算法技术,引入自然选择的淘汰机理,进一步提高算法的收敛速度与定位的准确性;引入采集平稳度和预测误差率对系统进行评价。试验结果表明,系统二次防误的精准度高达九成以上,为下一步研究奠定基础。
A quantum technology application system suitable for distributed feeder terminals was designed to address the issue of increased uncertainty in the stability and safety of the entire distribution network due to the high transmission workload of distributed feeders in the distribution network.The system aimed to achieve fault localization of distributed feeder terminals in the distribution network.The particle swarm algorithm technology was utilized based on quantum technology,the elimination mechanism of natural selection was introduced,and the convergence speed and positioning accuracy of the algorithm was further improved;the method of collecting smoothness and predicting error rate was introduced to evaluate the system.The experimental results show that the secondary error prevention accuracy of the system is up to over 90%,which can lay the foundation for further research.
作者
刘方洲
王骏永
赵阳
刘斌
罗旻
裘皓宇
Liu Fangzhou;Wang Junyong;Zhao Yang;Liu Bin;Luo Min;Qiu Haoyu(Lishui Power Supply Branch,Zhejiang Electric Power Co.,Ltd.,Lishui Zhejiang 323000,China)
出处
《电气自动化》
2024年第4期111-113,共3页
Electrical Automation
关键词
分布式馈线
量子技术
粒子群算法
故障定位
distributed feeder
quantum technology
particle swarm algorithm
fault location
