在功率能源系统中最佳协调定向超电流继电器,强调变量的离散性:全面比较
Aram Bayazidi1, Ali Abdali2,3, Juan C Vasquez4
1Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
Heliyon
|October 14, 2024
概括
本研究介绍了一种高探索粒子群集优化 (HEPSO) 算法,以优化循环电源网络中的超电流继电器协调,确保没有错误的协调. 与标准测试系统上的其他方法相比,HEPSO算法表现出卓越的性能.
科学领域:
- 电气工程 电气工程
- 电力系统保护保护 电力系统保护
- 优化算法 优化算法
背景情况:
- 循环网络中的超电流继电器协调是一个复杂的,受约束的问题.
- 现有的优化算法可能无法在没有协调错误的情况下实现最佳解决方案.
- 精确的继电器协调对于电力系统可靠性至关重要.
研究的目的:
- 在循环网络中开发和验证超电流中继协调的优化方法.
- 引入一种新的分密化方法,以防止继电器失调.
- 评估高探索粒子群优化 (HEPSO) 算法的有效性.
主要方法:
- 使用了高探索粒子集群优化 (HEPSO) 算法,结合了遗传和蜂群机制.
- 为了确保协调,提出了一种新的可变分类方法.
- 基于水的流优化 (TFWO) 算法用于验证.
- 考虑子传输变压器中断用于采集电流的确定.
- 在IEEE 14和30总线系统上进行测试.
主要成果:
- 与其他元启发,数学和混合方法相比,HEPSO算法获得了更优的解决方案.
- 拟议的离散方法有效地防止了协调不当.
- 该算法在大型测试系统中证明了其稳定性和效率.
- 变压器中断的考虑改善了采集电流设置的实用性.
结论:
- HEPSO算法是解决受约束超电流中继协调问题的强大而稳健的工具.
- 这种新的离散技术成功地防止了数字中继器中的失调.
- 提出的方法提高了电力系统保护方案的可靠性和效率.
相关概念视频
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01:27Line Protection with Impedance Relays
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01:26Overcurrent Relays
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01:26Reclosers and Fuses
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01:23Radial System Protection
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01:20Differential Relays
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