| 引用本文: | 杜珍峰,余娟,杨知方,等.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. |
| DU Zhenfeng,YU Juan,YANG Zhifang,et al.Intelligent relay protection starting point selection and setting method based on a quantum-inspired adaptive genetic algorithm[J].Power System Protection and Control,2026,54(10):24-35 |
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| 摘要: |
| 电网规模扩大及拓扑结构复杂化使原有继电保护配置选择性配合失效，进而引发系统性的失配后果，威胁电网安全。人工整定虽具备较强的泛化能力，但难以实现起始点的全局优化选取，且整定效率不足。现有优化方法虽提升了求解速度并缓解局部最优问题，但在高维复杂电网场景下仍可能面临局部收敛风险，且与工程约束的深度融合有待提升。为此，提出基于量子启发 - 自适应遗传算法 (quantum inspired-adaptive genetic algorithm, QI-AGA) 的继电保护起始点智能选取与整定方法。首先，构建基于稳态潮流与失配后果分析的保护配合关系重要度评估流程。其次，建立环网保护起始点选取与整定计算模型，以最小化失配重要度与保护调整数量为目标，提高整定结果的配合可靠性并减少调整量。然后，提出基于 QI-AGA 的求解方法，优化选取起始点并结合整定原则完成整定计算，提高智能整定效率和可信度。最后，基于多套 220 kV 实际电网配置进行算例分析，结果表明所提方法可有效选取起始点并提高整定效率。 |
| 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 |
| DOI：10.19783/j.cnki.pspc.251269 |
| 分类号: |
| 基金项目:国家自然科学基金项目资助 (52377076) |
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| Intelligent relay protection starting point selection and setting method based on a quantum-inspired adaptive genetic algorithm |
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DU Zhenfeng1, YU Juan1, YANG Zhifang1, HE Qian2, LUO Ling2
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1. State Key Laboratory of Power Transmission Equipment Technology (Chongqing University), Chongqing 400044, China; 2. State Grid Chongqing Electric Power Company Dispatch and Control Center, Chongqing 400015, China
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| 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. |
| Key words: relay protection starting point optimization setting calculation quantum-inspired adaptive genetic algorithm |
