Multi-objective economic dispatch of distributed generation using differential evolution algorithm

Abstract

Economic Dispatch (ED) deals with the allocation of the essential load amid the existing power plants such that the operating cost is reduced. The ED problem is framed as a nonlinear optimization problem with subjected constraints. In this study, a distributed generation (DG) optimization using a multi objective differential evolution (MODE) algorithm is explored. This study aims to find out the minimum fuel cost, environmental pollution penalty cost and minimum system real power loss. MODE algorithm is implemented on 33-bus distribution system (DS) to obtain the ideal real power dispatch of DGs. Four DGs are considered which having two diesel generator, one wind generator and one fuel cell. The result shows the minimized value of Fuel/Emission penalty cost and power loss in the DG units using MODE algorithm when compared with Multi Objective Particle Swarm Optimization (MOPSO) algorithm.

Performance of Turbulent Flow of Water Optimization on Economic Load Dispatch Problem

“…This algorithms are used in several problems such as extraction of photovoltaic parameters using gradient based optimizer [12] and Turbulent flow of water optimization [13]. In addition, solving ELD problem is performed with several al-gorithms such as non dominated sorting genetinc algorithm [14], modified jrill algorithm [15], Whale Optimization Algorithm [16], Henry gas solubility optimization [17], gravitational search algorithm [18], improved Firework Algorithm [19], grasshopper optimization algorithm [20], multi gradient practical swarm optimization [21], Salp Swarm Algorithm [22], Differential Evolution [23], Equilibrium Optimizer [24], reinforcement learning [25], virus colony search algorithm [26], Harmony Search Algorithm [27], improved grey wolf optimization [28], bat algorithm [29], improved class topper optimization algorithm [30], improved bat algorithm [31], Ant Colony Optimization [32], improved Jaya algorithm [33] and artificial cooperative search algorithm [34].…”

“…In [22], the authors have formulated the dynamic ELD problem incorporating commercial EVs and used SSA to solve the problem. In [23], the authors have solved the multiarea ELD problem by DE. In [24], the authors have used a pareto based PSO for solving CEED.…”