Unit commitment using gravitational search algorithm with holomorphic embedded approach

Abstract

Volatility of load demand and electricity price has set a challenging task In the operational planning and controls of modem power system. Therefore, power utilities face challenge to serve the load demand at minimum operating cost by performing a proper scheduling of the generating units. To perform such a task, unit commitment plays a vital role and significant amount cost is saved per year. In this paper, Gravitational Search Algorithm (GSA) is utilized for Unit Commitment problem. Optimum scheduling of the generating units is obtained using GSA and Holomorphic Embedded Load Flow method for handling load flow operation, generators real power output and network losses for each time period. IEEE 30-bus systems is considered to check the performance of the proposed method and simulation results are compared to other techniques available in the literature.