Solving constrained economic electrical energy generation and CO2 emission dispatch using hybrid algorithm

Abstract

Carbon foot print is latest hot discussion and all the countries are started the initiation to minimize it. One of the main carbon emission industries is thermal electrical power generating company. For the social welfare the emission has to minimize to maximum extend. The electrical power generation company as well needs to minimize the generation cost for the better operation. Minimizing carbon foot print and minimal power generation cost are opposite to each other. When the optimization focused to minimize the generation cost it lead to increase the carbon foot print and vice versa. This paper addresses the constraint the optimization problem which needs the objective of reducing both emission and generation cost. Electrical power generating cost of thermal power plant is nonlinear and non-convex in nature. Likewise the emission produced by the thermal power plant is complex mathematical problem. Intelligent algorithms are best suitable to solve these types of practical problems. In this paper hybrid of firefly algorithm and differential evolution technique is adopted to find the constrained emission minimization and cost minimization. Firefly algorithm works based on brightness, attractiveness and movement and there is no mutation process. Differential evolution technique has better mutation process and hence this mutation operation of differential evolution technique is introduced with firefly algorithm for the hybrid operation and to get better result. The research work is aimed to reduce the carbon foot print as well the generation cost of the power system.