Optimal design methodologies under the carbon emission trading program using MIP, GA, SA, and TS

Abstract

In this paper, an adaptation of MIP, GA, SA, and TS to network planning under the carbon emission trading program is described and computational results are given. As will be shown, the results are very encouraging. The cost function of this problem consists of the capital investment cost in discrete form, the cost of transmission losses, the power generation costs and carbon emission costs. The optimization model has the ability to minimize the total costs and provides the best solutions, which are both cost-effective and environmentally friendly. This method of solution is demonstrated on the real problem. Finally, the performance of the proposed procedure is compared with that of the most well-known as mixed-integer programming.