Title :
Economic load dispatch including wind power using Bat Algorithm
Author :
Jose, Julia Tholath
Author_Institution :
Electr. Eng., Univ. of Calicut, Calicut, India
Abstract :
This paper presents an efficient and reliable solution of economic load dispatch (ELD) using Bat (BA) Algorithm. The objective of the problem is to minimize cost of power generation while meeting operating constraints. As the wind energy is growing renewable energy source, it is necessary to include wind energy conversion system generators in the economic load dispatch problems. The stochastic nature of wind power output and the imbalance charges such as over estimation cost and under estimation cost due to forecasting errors of wind are taken into account. The feasibility of the proposed algorithm is demonstrated for six unit and fifteen unit thermal system with and without wind power and the results are compared with PSO.
Keywords :
direct energy conversion; power generation dispatch; power generation economics; wind power; BA algorithm; Bat algorithm; ELD; PSO; economic load dispatch; estimation cost; forecasting errors; operating constraints; power generation; renewable energy source; stochastic nature; thermal system; wind energy conversion system generators; wind power; Barium; Economics; Generators; Particle swarm optimization; Wind farms; Wind power generation; Wind speed; Bat Algorithm; Economic load dispatch; Particle swarm optimization; Weibull Probability density function;
Conference_Titel :
Advances in Electrical Engineering (ICAEE), 2014 International Conference on
Conference_Location :
Vellore
DOI :
10.1109/ICAEE.2014.6838546