Optimum Unit Commitment using Teaching Learning based Optimization Algorithm

Unit commitment problem solving is an important task in power system. In this problem, we have to distribute generated power among available generating unit to satisfy the load demand with minimum operating cost and satisfy the different constraints. In this paper, we present a solution to the optimum unit commitment of thermal power plant by using evolutionary algorithm Teaching And Learning Based Optimization Algorithm (TLBO).The solution for unit commitment problem subject to different constraint TLBO algorithm is proven to be more effective with more accuracy and less time. The solution at plant level for unit commitment problem improves economic benefits. Teaching and Learning based optimization algorithm is beneficial to get an optimum solution as it does not require any algorithm specific parameters like other algorithms. To obtain the optimum solution Teaching-learning based optimization (TLBO) algorithm is applied to solve the unit commitment problem considering 10 unit system in this study.