Optimal Coordination of Distance Protection Considering Multiple Setting Groups Strategy Based on Sideline Current Addition Coefficient

Abstract

In order to improve the adaptability of distance protection settings to extreme operation modes, an optimal coordination method of distance protection considering multiple setting groups strategy is proposed, which is based on sideline current addition coefficients (SCAC). A clustering model based on K-Medoids algorithm is established, with the SCAC as the characteristic of the operation mode. With the goal of the minimum action time of the whole network and the lowest loss of selectivity probability, the Multiple Objective Particle Swarm Optimization (MOPSO) algorithm is used to optimize coordination of distance protection under the operation mode in each cluster group. The IEEE 39-bus system verifies the effectiveness of the proposed method.