Solving Optimal Load Dispatch Problem Using Evolutionary Intelligence with Degree of Violation Approach

Abstract

The aim of this study is to reduce the cost of power generation and minimize constraint violations using three evolutionary algorithms. To achieve this, we designed a fitness function that assigns higher fitness values to solutions with low cost and low constraint violation. The fitness function incorporates cost and violation terms in its denominator, enabling the algorithms to converge towards the best solution. Simulations were conducted on three test systems to determine the algorithm that strikes a suitable balance between cost and violation reduction for solving the optimal load dispatch problem. Upon comparing the simulation results, we found that the artificial bee colony algorithm effectively minimized both the cost and violation metrics in all three test cases.