电力系统保护与控制2026，Vol.54Issue(10)：24-35,12.DOI:10.19783/j.cnki.pspc.251269
基于量子启发-自适应遗传算法的继电保护起始点智能选取与整定方法
Intelligent relay protection starting point selection and setting method based on a quantum-inspired adaptive genetic algorithm
摘要
Abstract
The power grid expansion and increasing topological complexity have led to the failure of selectivity coordination in existing relay protection configurations,which in turn may cause systematic miscoordination and threaten power system security.Although manual setting offers strong generalization capability,it is difficult to achieve globally optimal selection of starting points and suffers from low efficiency.Existing optimization methods have improved solution speed and alleviated local optimum issues;however,they may still face the risk of local convergence in high-dimensional and complex grid scenarios and their integration with engineering constraints remains insufficient.To address these issues,an intelligent starting point selection and relay protection setting method based on a quantum inspired-adaptive genetic algorithm(QI-AGA)is proposed.First,an evaluation framework for the importance of protection coordination relationships is established based on steady-state power flow and miscoordination consequence analysis.Second,a model for starting point selection and setting calculation in ring networks is developed,aiming to minimize both the importance of miscoordination and the number of protection adjustments,thereby improving coordination reliability while reducing adjustment effort.Then,a solution method based on QI-AGA is proposed to optimize the selection of starting points and complete the setting calculation according to coordination principles,enhancing both efficiency and reliability of intelligent setting.Finally,case studies based on multiple real 220 kV power grid configurations demonstrate that the proposed method can effectively select starting points and improve setting efficiency.关键词
继电保护/起始点优化选取/整定计算/量子启发/自适应遗传算法Key words
relay protection/starting point optimization/setting calculation/quantum-inspired/adaptive genetic algorithm引用本文复制引用
杜珍峰,余娟,杨知方,何潜,罗玲..基于量子启发-自适应遗传算法的继电保护起始点智能选取与整定方法[J].电力系统保护与控制,2026,54(10):24-35,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.52377076). 国家自然科学基金项目资助(52377076) （No.52377076）
