基于多目标离散灰狼优化算法的新能源接入电网保护定值优化

叶远波; 王吉文; 汪伟; 汪胜和; 郑涛; 苏毅

叶远波,王吉文,汪伟,汪胜和,郑涛,苏毅.基于多目标离散灰狼优化算法的新能源接入电网保护定值优化[J].电测与仪表,2026,63(2):120-128.
YE Yuanbo,WANG Jiwen,WANG Wei,WANG Shenghe,ZHEBG Tao,SU Yi.Optimization of protection settings for new energy grid access based on multi-objective discrete grey wolf optimization algorithm[J].Electrical Measurement & Instrumentation,2026,63(2):120-128.

基于多目标离散灰狼优化算法的新能源接入电网保护定值优化

Optimization of protection settings for new energy grid access based on multi-objective discrete grey wolf optimization algorithm

DOI：10.19753/j.issn1001-1390.2026.02.013

中文关键词: 分布式新能源电力系统继电保护保护定值离散灰狼优化算法

英文关键词:distributed new energy, power system, relay protection, protection settings, discrete grey wolf optimization algorithm

基金项目:国家自然科学基金联合项目(U2166205)；国家电网有限公司科技项目(521200220009)

作者中文名	作者英文名	单位
叶远波	YE Yuanbo	国网安徽省电力有限公司
王吉文	WANG Jiwen	国网安徽省电力有限公司
汪伟	WANG Wei	国网安徽省电力有限公司
汪胜和	WANG Shenghe	国网安徽省电力有限公司
郑涛	ZHEBG Tao	北京四方继保自动化有限公司
苏毅	SU Yi	北京四方继保自动化有限公司

摘要点击次数: 432

中文摘要:

随着新能源并网容量的持续攀升，电力电子设备在电网中的渗透率显著提高，这对现有继电保护方案的有效性构成了严峻挑战。为保障电力系统的安全稳定运行，需结合系统实时运行状态，制定一套综合性能最优的保护定值方案。针对当前继电保护存在的稳定性不足、整定效率偏低等问题，提出一种基于多目标离散灰狼优化算法的新能源并网保护定值优化方法。所提方法以分布式电源接入场景下保护的灵敏性、速动性与可靠性为约束条件，构建以灵敏性最优、整定耗时最短为目标的多目标优化模型，求解得到最优保护定值，从而支撑电力系统的安全稳定运行。实验验证表明，所提方法相较于传统整定方案与遗传算法整定方案，具备更快的收敛速度与更高的寻优效率，可有效应用于电力系统继电保护领域。

英文摘要:

With the continuous increase in the grid-connected capacity of new energy sources, the penetration of power electronic devices in the power grid has significantly increased, posing a severe challenge to the effectiveness of existing relay protection schemes. To ensure the safe and stable operation of the power system, it is necessary to develop a set of protection setting schemes with optimal comprehensive performance based on the real-time operating state of the system. Addressing the current issues of relay protection, such as insufficient stability and low setting efficiency, this paper proposes a new energy grid-connected protection setting optimization method based on a multi-objective discrete gray wolf optimization algorithm. This method constructs a multi-objective optimization model with the goals of optimal sensitivity and minimum setting time, constrained by protection sensitivity, rapid response, and reliability in distributed power access scenarios, to obtain the optimal protection settings, thereby supporting the safe and stable operation of the power system. Experimental results show that the proposed method has faster convergence and higher optimization efficiency compared to traditional setting schemes and genetic algorithm-based setting schemes, making it effectively applicable in the field of power system relay protection.

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