APPLICATION OF ANT COLONY OPTIMIZATION TO MULTI-OBJECTIVE ECONOMIC LOAD DISPATCH

Abstract

In this thesis, two objectives of power systems – cost of generation and system transmission losses has been considered for simultaneous minimization. The Multi-objective Economic Load Dispatch (MELD) problem considering the two objectives has been formulated using weighting method. The non-inferior set has been generated by varying the relative weights of the objectives in a systematic manner and solving the MELD problem as a combinatorial optimization problem by Ant System which is the first Ant colony Optimization technique. Explicit trade-off analysis has been carried out by Maximization of minimum Relative (MMR) Attainments method. The target point of the power system is obtained when the sum of minimum relative attainments are maximum. The proposed method has been implemented on IEEE 5, 14 and 30 bus systems. A MATLAB program has been developed to solve Travelling Salesman Problem of four cities using Evolutionary Computation such as Ant Colony Optimization (ACO). Multi-objective economic load dispatch problem considering cost of generation and system transmission losses has been solved using ACO.