Swarm Evolutionary Programming for Under-Frequency Load Shedding

摘要

In this paper, Swarm Evolutionary Programming (SEP) method incorporating modified System Frequency Response (SFR) model is proposed to solve the optimal Under-frequency Load Shedding (UFLS) scheme design problem. The objective function of this problem is to minimize transient frequency and steady-state frequency deviation from nominal and total quantum of load shedding. The constrained optimization problem is transformed into a non-constrained optimization problem by implementing the penalty method and the proposed algorithm is tested on a nine-bus test system. Simulation results demonstrate that SEP is a promising solution for finding optimal settings for the UFLS scheme.