基于改进NSGA-II的特高压变电站装备响应功耗的多目标优化

吕意飞; 王英; 金超; 曹阳; 文秀梅; 康龙龙; 葛裕诚

doi:10.14044/j.1674-1757.pcrpc.2026.03.004

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基于改进NSGA-II的特高压变电站装备响应功耗的多目标优化

电力电容器与无功补偿 | 系统应用研究

基于改进NSGA-II的特高压变电站装备响应功耗的多目标优化
Multi-objective Optimization of Response Power Consumption for UHV Substation Equipment Based on Improved NSGA-II
国网新疆电力有限公司塔城供电公司，新疆塔城 834799
兰州交通大学，兰州 730070
2026年47卷第3期页码：33-43
DOI：10.14044/j.1674-1757.pcrpc.2026.03.004
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吕意飞, 王英, 金超, 等. 基于改进NSGA-II的特高压变电站装备响应功耗的多目标优化[J]. 电力电容器与无功补偿, 2026,47(3):33-43.

LYU Yifei, WANG Ying, JIN Chao, et al. Multi-objective Optimization of Response Power Consumption for UHV Substation Equipment Based on Improved NSGA-II[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(3): 33-43.
吕意飞, 王英, 金超, 等. 基于改进NSGA-II的特高压变电站装备响应功耗的多目标优化[J]. 电力电容器与无功补偿, 2026,47(3):33-43. DOI： 10.14044/j.1674-1757.pcrpc.2026.03.004.

LYU Yifei, WANG Ying, JIN Chao, et al. Multi-objective Optimization of Response Power Consumption for UHV Substation Equipment Based on Improved NSGA-II[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(3): 33-43. DOI： 10.14044/j.1674-1757.pcrpc.2026.03.004.

摘要

随着特高压变电站智能化建设的推进，二次安措防护装备在保障作业安全中发挥着关键作用。然而，特高压强电磁干扰环境与无源安规限制，导致装备在“长周期免维护”与“突发事件高实时响应”之间存在严峻的冲突。为解决智能防护装备的功耗与响应时间的耦合问题，本文提出了一种基于改进非支配排序遗传算法（adaptive non-dominated sorting genetic algorithm II，A-NSGA-II）的多目标优化策略。首先，针对特高压脉冲噪声信道特性，对智能防护装备构建了融合重传机制的离散事件驱动微观能耗与最坏情况时效性模型；其次，针对传统算法的早熟停滞瓶颈，引入基于种群多样性的自适应变异算子策略，并重构了基于欧氏距离的拥挤度计算机制，增强了算法在离散前沿上的跳出能力与分布均匀性；最后，结合欧氏距离决策法筛选出装备的最佳折衷方案。实验表明，相较于标准NSGA-II与传统多目标粒子群算法，A-NSGA-II的超体积指标提升了约18.5%，在保证装备响应延迟满足安规要求的前提下，装备平均功耗电流为0.118 mA。在恶劣信道工况下，仍能将理论续航时间稳定至5年以上，为特高压智能防护装备的可靠部署提供了极具工程价值的理论依据与量化指导。

Abstract

With the advancement of intelligent construction in UHV substations，secondary safety protection equipment plays a critical role in ensuring operational safety. However，the UHV strong electromagnetic interference environment and passive safety regulations present a critical conflit between long-term maintenance-free operation and high real-time response to emergencies for the equipment. To address the coupling issue between power consumption and response time in intelligent protection equipment，in this paper a multi-objective optimization strategy is proposed based on an improved non-dominated sorting genetic algorithm（A-NSGA-II）. First，considering the characteristics of the UHV pulse noise channels，a discrete event-driven micro- energy consumption and worst-case timeliness model incorporating a retransmission mechanism is constructed for the intelligent protection equipment. Then，to address the premature stagnation bottleneck of traditional algorithms，an adaptive mutation operator strategy based on population diversity is introduced，and the crowding distance calculation mechanism based on Euclidean distance is reconstructed，thereby enhancing the algorithm's ability to escape from discrete frontiers and improving the uniformity of distribution. Finally，the optimal compromise solution for the equipment is selected using the Euclidean distance decision-making method. The experinmental results show that compared with the standard NSGA-II and traditional multi-objective particle swarm optimization algorithms， the hypervolume indicator of A-NSGA-II is improved by approximately 18.5%. Under the premise that the equipment response delay meets the safety regulation requirements，the average power consumption current of the equipment is 0.118 mA. Even under harsh channel conditions，the theoretical battery life can still be stabilized for more than five years，which provides a highly valuable theoretical basis and quantitative guidance for the reliable deployment of UHV intelligent protection equipment.

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references

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