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戴志辉, 宁志恒, 栾琨, 等. 新型有源配电网保护失配风险定值甄别方法[J]. 太阳能学报, 2026,47(6):47-57.
戴志辉, 宁志恒, 栾琨, et al. 新型有源配电网保护失配风险定值甄别方法[J]. 2026, 47(6): 47-57.
戴志辉, 宁志恒, 栾琨, 等. 新型有源配电网保护失配风险定值甄别方法[J]. 太阳能学报, 2026,47(6):47-57. DOI: 10.19912/j.0254-0096.tynxb.2025-0120.
戴志辉, 宁志恒, 栾琨, et al. 新型有源配电网保护失配风险定值甄别方法[J]. 2026, 47(6): 47-57. DOI: 10.19912/j.0254-0096.tynxb.2025-0120.
提出一种适用于高比例新能源并网场景的保护失配风险定值甄别方法
基于含高渗透率分布式新能源典型拓扑结构
深入剖析保护动作性能劣化机理
并针对保护误动、拒动根因揭示保护正确动作需遵循的约束条件;在此基础上
定量分析分布式电源出力与保护失配风险定值之间的映射关系
并通过基于骨干粒子群(PSO)算法的双环迭代法进一步明确保护失效动作边界
最终制定完整的保护失配风险定值甄别流程
并借助PSCAD/EMTDC及Matlab/Simulink平台验证所提方案的有效性。
This paper proposes a detection method for protection mismatch risk settings tailored for high-penetration renewable energy integration scenarios. Using a typical topology of high-penetration distributed renewable energy systems
the degradation mechanism of protection performance is analyzed in depth. Furthermore
the constraints on correct protection operation are revealed by investigating the root causes of protection misoperation and failure to trip. Based on this analysis
the mapping relationship between DG output and protection mismatch risk settings is quantitatively examined. The boundary of protection failure is further determined using a dual-loop iteration method based on the backbone particle swarm optimization (PSO) algorithm. Finally
a comprehensive identification procedure for protection mismatch risk settings is developed. The effectiveness of the proposed approach is validated through simulations using the PSCAD/EMTDC and Matlab/Simulink platforms.
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