Planned production of thermal units for reducing the emissions and costs using the improved NSGA II method

This paper presents a new algorithm for production planning, thermal units called so-called economic dispatch. The selected problem for algorithm implementation is a bounded and non-linear optimization problem. In the present paper, it has been tried to reduce the production costs, as well as the polluting gases emitted while generating energy. The proposed algorithm is based on multi-objective optimization algorithm of Genetic Algorithm, which is a meta-heuristic algorithm. In this paper, an idea is suggested to improve the efficiency of the multi-objective optimization algorithm. After implementation and comparing the results obtained for the multi-objective standard algorithm with the previous works, it was observed that the proposed algorithm can obtain better results. To investigate the results, a 3-generator system with and without considering the losses was used. However, in each state, 3 different demands for energy was considered and the algorithm was implemented on this system. The proposed algorithm, find answers with less than 0.15% improvement in production costs, as well as on average 0.30% improvement on the find answers with less contaminant. Keywords: Economic load dispatch, Emission dispatch, Multi-objective optimization, Multi-objective optimization algorithm based on GA (NSGA II