Abstract

This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to make changes of rescheduling of active power generation in power system subject to both static and dynamic constraints. The GWO algorithm shows the capability of improving diversity in search space and also to reach a near global optimal point. To validate the GWO algorithm, simulations are performed on IEEE 30-bus system and New England 39-bus system under different fault clearing times. The results are compared with different evolutionary algorithms reported in the literature.

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