An ABC Algorithm To Solve Profit Based Unit Commitment Problem Under Deregulation

in this paper, an ABC (artificial bee’s colony algorithm) is proposed to address the profit based unit commitment problem under deregulation. The PBUC problem is one of the major tasks for a power producer and is a highly complex, multi constrained non linear optimization problem. Some of the recently developed algorithms like GA, PSO, BBO, ACO etc. that are available to solve this complex problem, but so far there is no such ideal technique which can completely handle the computational time and the large dimensionality of the problem. In this scenario an attempt is made to solve this problem using artificial bee’s colony algorithm. The problem is formulated as a bi-objective optimization problem with profit maximization of generation companies as one objective and emission level limitation of generating units as second objective. The proposed algorithm is tested on IEEE 10 unit 10 hours load demand as input data for simulation using MATLAB. The results are compared with GA, PSO. From the results obtained it is observed that the ABC algorithm effectively handles the dimension of the problem and achieves maximum profit and minimum production cost with less computational time. Keywords— PBUC; ABC; Deregulation; Profit