Secondary System Protection Strategy of Substation Based on Improved GWO-PSO Algorithm
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摘要: 微电网在并网或孤岛等不同模式运行时，网络拓扑结构的变化对变电站二次系统的协调保护策略提出了较高的要求。为此，提出一种基于结合改进灰狼优化算法和粒子群优化算法的变电站二次系统保护策略。首先，以最小化变电站中所有继电器的总动作时间为目标建立数学模型；然后，针对过电流继电器协调优化问题，将灰狼优化器和粒子群优化结合，采用改进后的GWO-PSO算法进行模型求解；继而，采用中央保护中心、智能电子设备和通信通道来获取和传输实时数据，提出了微电网在不同模式下的变电站继电保护策略。仿真结果表明，相对于传统方法，所提方法计算速度快且能够明显提升保护系统的速动性。Abstract: When microgrids operate in different modes such as grid connection or islanding,the changes of network topology pose high requirements for the coordinated protection strategy of substation secondary systems. Therefore,a substation secondary system protection strategy based on combining the improved gray wolf optimization（GWO）and particle swarm optimization（PSO）algorithms is proposed. Firstly,the mathematical model is established with the goal of minimizing the total operating time of all relays in the substation;Then,for the coordination optimization problem of overcurrent relays,the gray wolf optimizer and particle swarm optimization are combined,the improved GWO-PSO algorithm are used to solve the model;Subsequently,a central protection center,intelligent electronic devices and communication channels are used to obtain and transmit real-time data,and relay protection strategies for substations in different modes of microgrids are proposed. The simulation results show that compared to traditional methods,the proposed method has faster calculation speed and can significantly improve the speed of protection system.
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Keywords:
- relay protection /
- substation /
- protection strategy /
- combinatorial algorithm
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