ABSTRACT

Abstract

In this paper optimization of electric power system with transient stability constraints is examined using Late Acceptance Hill Climbing Algorithm. The main aim is to minimize the total fuel cost while stability is maintained. The method is tested on two test cases: IEEE 9-bus system and IEEE 30-bus system. The results obtained shows that the system remain stable after the disturbance with minimum cost of operations and this established the effectiveness and efficiency of the algorithms when compared with those obtained by other algorithms given in the literature for the same test system. And the algorithms can be recommended for effective and accurate finding of global monetary and security solution for the power system.