Main Article Content
Abstract
Deregulation of electrical power industries has produced the competition in electricity market among the suppliers of the electricity. This competition delivers the better reliability and business of electricity at inexpensive cost. So many electrical power companies are rising by executing their suitable utilities, proper roles and objectives. Profit based unit commitment problem (PBUCP) is the complicated, nonlinear and combinatorial optimization problem with some constraints in the research of power system. Now a days researchers used different types of evolutionary algorithms to solve the PBUCP. In this proposed research, the hybrid version of Grey Wolf Optimizer (GWO) and Random Exploratory Search (RES) algorithm has been applied to solve the PBUCP. The proposed hGWO-RES optimization technique is implemented to improve the phase of exploration with GWO and phase of exploitation with RES algorithm. The efficiency of the proposed algorithm has been tested on IEEE Test units consisting 10-generating units and results has been discussed with the overall generation cost of those units.