Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm

Abstract

Abstract

This paper proposes the nature-inspired moth flame optimization (MFO) algorithm to solve the economic load dispatch (ELD) problem of power system. The ELD is a concept where the committed generating units are scheduled to meet the total power demanded by the residential area. The ELD problems are solved by the optimization process of the objective function, hence optimization is done by minimizing the total fuel cost function of the generating units without considering the transmission losses while satisfying the equality and inequality constraints of the power system network so as to maintain the security of the power system network for obtaining the optimal solutions. In this paper, the desired conditions are; obtaining the minimum value of the fuel cost and maintaining the reliable operation of the power system network. The methodology used in this paper is based on the pattern of movement of the insect moths around the flame. In this algorithm, after each iteration, we get some better position of moths, which defines optimal results of the system. This algorithm has been implemented so as to promote the better results, improve the accuracy and obtain faster computation and convergence rate. To prove the accuracy, reliability and efficiency of the proposed algorithm, it is demonstrated on the 18 unit test system without considering the transmission losses. Therefore, the obtained results are compared with the other previously used methods and hence it assures about the effectiveness of the proposed algorithm. 

Keywords: Moth flame optimization, economic load dispatch, equality constraints and inequality constraints

Cite this Article

Princi Tripati, Upendra Tomar, Ashish Kumar Singhal. Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm. Journal of Semiconductor Devices and Circuits. 2016; 3(3): 25–33p.