Solution of price based unit commitment using GABC and TLBO optimization algorithms

Deregulation of power industry leads to profit making trade for both supplier and consumer. In restructured competitive environment, scheduling of generating units for accomplishing maximum profit is a prime motive of different generation companies (GENCOs) and end user entities also have an opportunity to decide their supplier and to purchase energy at cheaper cost. Price based unit commitment is a challenging optimization task which has been solved by recently developed two optimization algorithms namely Gbest artificial bee colony algorithm (GABC) and Teaching learning based optimization algorithm (TLBO) in this paper. The simulation results obtained from these two algorithms are compared with existing Nodal ant colony algorithm (NACO) which yields that TLBO gives better results for 10 unit system with compulsion of satisfying consumer´s demand.