|
|
|
| Selection of low-voltage side current-limiting reactor for interconnection transformers in hydropower station based on particle swarm optimization algorithm |
| WANG Ping, YANG Ling |
| SDIC Yunnan Dachaoshan Hydropower Co., Ltd, Kunming 650213 |
|
|
|
|
Abstract To reasonably select the reactance percentage for the low-voltage side current-limiting reactor of the interconnection transformer in hydropower station, a strategy based on the particle swarm optimization algorithm is proposed to effectively reduce short-circuit current levels while ensuring the sensitivity of transformer differential protection. A linearly decreasing inertia weight is used to dynamically balance the algorithm’s global exploration and local exploitation capabilities, preventing premature convergence. An optimization model that takes the reactance percentage as the decision variable and differential protection sensitivity as the constraint is constructed, and a fitness function that integrates the constraint conditions is designed, directly embedding the engineering constraints into the optimizing process of particle swarm. A function model is established in Matlab for simulation and compared with the traditional back-calculation method. Results show that this proposed method has global optimization capability, which can quickly obtain the optimal reactance percentage, and intuitively compare the effects of different reactance percentages on transformer differential protection sensitivity and short-circuit current magnitude. Further research verifies the dynamic and thermal stability of the selected current-limiting reactor, assesses its impact on transformer backup protection, low-voltage switchgear breaking capacity, and the accuracy class of current transformers, confirming the rationality and feasibility of the new parameters in engineering applications.
|
|
Received: 26 January 2026
|
|
|
|
| Cite this article: |
|
WANG Ping,YANG Ling. Selection of low-voltage side current-limiting reactor for interconnection transformers in hydropower station based on particle swarm optimization algorithm[J]. Electrical Engineering, 2026, 27(8): 44-52.
|
|
|
|
| URL: |
|
https://dqjs.cesmedia.cn/EN/Y2026/V27/I8/44
|
[1] 王建明, 张梅, 阳春树, 等. 抽水蓄能电站发电机分支回路限流电抗器选型分析[J]. 水利水电技术(中英文), 2025, 56(增刊1): 116-119.
[2] 陈雅, 王玮, 王婧. 微机变压器差动保护灵敏度校验方法的探讨[J]. 华北电力技术, 2014(3): 51-53, 63.
[3] 王轩, 龙飞, 张江超, 等. 限流装置对变压器抗短路能力提升作用分析[J]. 设备管理与维修, 2024(3): 17-19.
[4] 赵月灵, 朱礼蔚, 李晓萌, 等. 一起变压器差动保护动作分析与启示[J]. 电气时代, 2024(11): 90-94.
[5] 卢培成. 浅谈变压器比率差动保护原理及校验[J]. 电力设备管理, 2021(9): 197-199.
[6] 徐晨展, 刘庆珍. 基于多策略融合粒子群算法的油纸绝缘参数辨识[J]. 电气技术, 2024, 25(9): 14-21.
[7] 刘廷章, 张子恒. 基于循环迭代粒子群算法对电动汽车无线充电系统的联合参数在线辨识[J]. 电工技术学报, 2022, 37(18): 4548-4564.
[8] 任京攀, 马宏伟, 姚明清. 基于粒子群算法的飞轮阵列协调控制策略[J]. 电工技术学报, 2021, 36(增刊1): 381-388.
[9] 彭子奇, 朱志莹, 徐政, 等. 基于改进粒子群算法的燃料电池公交车模糊能量管理策略[J]. 电气技术, 2026, 27(1): 57-63, 72.
[10] 熊信银. 发电厂电气部分[M]. 4版. 北京: 中国电力出版社, 2009.
[11] 贺家李, 李永丽, 董新洲, 等. 电力系统继电保护原理[M]. 5版. 北京: 中国电力出版社, 2018. |
|
|
|
2026, Vol. 27 
