Optimal Unit commitment using heuristic technique considering environmental effect

The objective of this paper is to solve the unit commitment problem using the metaheuristic technique and compare the results with an old reliable technique as Dynamic Programing. The system optimal solution is not only about the minimum cost but also the effect on the environment. So, in this paper, we are considering the renewable resources besides the thermal generators and the effect of electrical vehicles (EV) with the renewable resources. The most important goal of this paper is to achieve an optimal solution of generation at each hour with the total lowest cost and lowest effect on the environment. To approve the use of this proposed metaheuristic technique, the results were compared to two well-known optimization techniques such as dynamic programming and other old reliable approved meta-heuristic technique such as Genetic Algorithm (GA). The evaluation shows that the proposed meta-heuristic technique can be used as a powerful and reliable tool in this field.