Wind power generation effect on economic load dispatch in power system

Abstract

Renewable Energy (RE) generation is getting more and more attention due to the awareness of the perseverance of environment and sustainability of resources. While Economic Load Dispatch (ELD) is a heavily researched area which aims to optimize the objective function (i.e. minimizing the total production cost, maximizing the generation profit in deregulated bid market, reserve constrained ELD, etc.) without violating the constraints. RE generation in general and wind power in particularly is well-known for its nature of unpredictability, highly intermittent and uncertainly. This has make the entire power system vulnerable to the instability problem and is intensified once there is large scale high penetration of RE in the existing pre-dominantly fossil fuel thermal power plant. Higher penetration of RE in power system is an unavoidable trend. This will make the ELD highly nonlinear problem even more severe. This paper aims to study the wind power generation effect in ELD particularly on the saving of the total operation cost. Quadratic Programming technique will be used to investigate the Wind Power Plant (WPP) effect in Dynamic Economic Load Dispatch (DELD) problem, after comparison has been made against both Genetic Algorithm and Particle Swarm Optimization in 3 Generator system and 6 Generator system that shows better solution in finding global minima. Several case study tested in order to investigate the wind power effect with no-wind, low-wind, normal wind and high-wind scenarios in solving the ELD problem. The saving of the total cost is ranging from 4% to 11% as reported in the result.