Power system tracking state estimation based on stochastic fractal search technique under bad measurements conditions

摘要

Tracking State Estimation (TSE) predicts potential security contingencies. This paper discusses the application of Fractal Search which is a stochastic meta-heuristic algorithm under various scenarios including normal operation where load fluctuates linearly and bad measurements introduced at different time instants during the study period. The proposed algorithm is tested on IEEE 5, 14, 30, and 57 bus systems and the results are compared with those obtained Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to demonstrate the validity of the proposed approach.