Optimal load shedding planning with genetic algorithm

This paper proposes a novel planning method using genetic algorithm (GA) to achieve minimization of load shedding. The frequency of a power system declines rapidly when generator outage occurs. The general solution is to install sufficient under-frequency relays to pull frequency back to normal range. In this study, a single machine infinite bus (SMIB) is utilized to simulate system load with genetic algorithm for estimating the optimal load shedding and shedding ratio in each stage. Simulated results indicate that the proposed GA-based method is both feasible and effective to facilitate optimal load shedding planning.