宽频域谐波谐振监测装置优化配置
作者:
作者单位:

(1.四川大学电气工程学院,四川 成都 610065;2.国网四川省电力公司阿坝供电公司,四川 阿坝藏族羌族自治州 623200)

作者简介:

通讯作者:

舒 勤(1958—),男,博士,教授,博士生导师,主要从事电力系统稳定与控制、智能电网以及现代信号处理等方面的研究;E?mail:shuchin@163.com

中图分类号:

TM711

基金项目:

国家自然科学基金(51877141)


Optimized placement of wide‑band frequency harmonic resonance monitoring device
Author:
Affiliation:

(1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.Aba Power Supply Company, State Grid Sichuan Electric Power Company,Aba Tibetan and Qiang Autonomous Prefecture 623200, China)

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    摘要:

    近年来,宽频谐波谐振成为危害电力系统安全稳定运行的重要问题之一。为构建宽频域谐波谐振监测系统,提出一种基于电网拓扑结构的监测装置优化配置方法。首先,从谐波谐振可观性的角度定义综合节点关键度;然后,在保证电力系统关键线路发生N?1故障仍全网可观的前提下,以监测装置配置数目最低以及关键度最高为目标,构建0?1整数规划数学模型,并利用改进二进制粒子群算法求解模型得出最优配置方案;最后,通过IEEE 14、IEEE 30节点系统的仿真试验,验证所提算法的可靠性和经济性。

    Abstract:

    In recent years, the wide?band harmonic resonance has become one of the most important issues that endanger the stability of the power system. In order to build wide?band harmonic resonance oscillation monitoring system, an optimal placement method of monitor device is proposed based on the power grid topology. Firstly, this method defines the criticality of comprehensive nodes from the perspective of the harmonic resonance observability. Then, under the premise of ensuring the overall observability of the power system in the event of N?1 contingencies on critical transmission lines, a 0?1 integer programming mathematical model is constructed for the goal of monitoring device configurations number minimization and the criticality maximization. The optimal placement scheme is obtained by using the improved binary particle swarm algorithm to solve the model. Finally, the reliability and economy of the proposed algorithm are verified through the simulation tests of the IEEE 14?bus system and the IEEE 30?bus system.

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罗淞泓,舒 勤,刘 勇,等.宽频域谐波谐振监测装置优化配置[J].电力科学与技术学报,2023,38(4):177-186.
LUO Songhong, SHU Qin, LIU Yong, et al. Optimized placement of wide‑band frequency harmonic resonance monitoring device[J]. Journal of Electric Power Science and Technology,2023,38(4):177-186.

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  • 在线发布日期: 2023-11-06
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