基于BSSSO算法的无功补偿容量优化方法

doi:10.11930/j.issn.1004-9649.202106025

中国电力 ›› 2023, Vol. 56 ›› Issue (1): 106-111.DOI: 10.11930/j.issn.1004-9649.202106025

基于BSSSO算法的无功补偿容量优化方法

祁升龙¹, 李磊², 何玉鹏³, 朱林³, 王放¹, 邹红波⁴

1. 国网宁夏电力有限公司电力科学研究院，宁夏银川 750001;
2. 国网宁夏电力有限公司固原供电公司，宁夏固原 756000;
3. 国网宁夏电力有限公司，宁夏银川 750002;
4. 三峡大学电气与新能源学院，湖北宜昌 443002

收稿日期:2021-06-21 修回日期:2022-11-05 出版日期:2023-01-28 发布日期:2023-01-14
作者简介:祁升龙(1988-),男,硕士,工程师,从事配电自动化及运检研究,E-mail:496597513@qq.com;李磊(1982-),男,硕士,高级工程师,从事继电保护及自动化研究,E-mail:350502297@qq.com;何玉鹏(1981-),男,硕士,高级工程师,从事继电保护及配电网运维检修研究,E-mail:13739502218@163.com;朱林(1977-),男,高级工程师,从事配电自动化及继电保护研究,E-mail:wuzhongzhulin@163.com;王放(1993-),女,硕士,工程师,从事配电自动化及配电网二次设备检测研究,E-mail:597435737@qq.com;邹红波(1978-),男,博士,副教授,从事电力设备故障诊断研究,E-mail:zhbhorace@163.com
基金资助:
国网宁夏电力有限公司科技项目（5229DK200003）；国家自然科学基金资助项目（61876097）。

Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm

QI Shenglong¹, LI Lei², HE Yupeng³, ZHU Lin³, WANG Fang¹, ZOU Hongbo⁴

1. Electric Power Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750001, China;
2. Guyuan Power Supply Company, State Grid Ningxia Electric Power Co., Ltd., Guyuan 756000, China;
3. State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750002, China;
4. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China

Received:2021-06-21 Revised:2022-11-05 Online:2023-01-28 Published:2023-01-14
Supported by:
This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (No.5229DK200003), National Natural Science Foundation of China (No.61876097).

摘要/Abstract

摘要： 无功补偿容量的目标是将有功功率损耗降至最低且兼顾电压平衡。首先，针对无功补偿容量优化实际，建立考虑有功功率损耗、电压偏差、电压稳定性的多目标无功补偿容量优化模型；然后，提出基于鸟群算法（bird swarm algorithm，BSA）与混合牧羊人优化算法（shuffled shepherd optimization algorithm，SSOA）的鸟群牧羊混合优化（bird swarm shuffled shepherd optimization，BSSSO）算法，以优化无功补偿容量；最后，通过仿真算例验证了所提方法，结果表明所提方法性能优越，可以兼顾各指标平衡。

关键词: 无功补偿, 有功功率损耗, 多目标优化

Abstract: The objective of reactive compensation capacity is to minimize the active power loss and take into account the voltage balance. Firstly, according to the actual optimization of reactive power compensation capacity, a multi-objective reactive power compensation capacity optimization model considering active power loss, voltage deviation and voltage stability was established. Then, a BSSSO algorithm based on bird swarm algorithm (BSA) and shuffled shepherd optimization algorithm (SSOA) is proposed to optimize reactive power compensation capacity. Finally, the proposed method is verified by a simulation example, and the results show that the proposed method has superior performance and can take into account the balance of all indexes.

Key words: reactive power compensation, active power loss, multi-objective optimization

祁升龙, 李磊, 何玉鹏, 朱林, 王放, 邹红波. 基于BSSSO算法的无功补偿容量优化方法[J]. 中国电力, 2023, 56(1): 106-111.

QI Shenglong, LI Lei, HE Yupeng, ZHU Lin, WANG Fang, ZOU Hongbo. Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm[J]. Electric Power, 2023, 56(1): 106-111.

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https://www.electricpower.com.cn/CN/Y2023/V56/I1/106

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基于BSSSO算法的无功补偿容量优化方法

Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm

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基于BSSSO算法的无功补偿容量优化方法

Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm

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