Title :
Economic operation of two area power system through gravitational search algorithm
Author :
Anumeha;K. B. Yadav;S. Agarwal
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Jamshedpur, India
fDate :
3/1/2015 12:00:00 AM
Abstract :
A new Meta heuristic optimization method based on Newton´s laws of gravity and motion has been developed by Rashedi E. et al. known as Gravitational Search Algorithm (GSA). In this paper GSA is implemented to economic operation of a two area power system and computes how much power has to be generated internally in an area and how much power has to be borrowed from other area through tie-line for a specified load in most economical sense. This method is explained with an example and the result obtained by the proposed method is compared with by particle swarm optimization (PSO) as reported in literature. It has been shown that this method is more efficient and takes less computation time than PSO.
Keywords :
"Power systems","Economics","Particle swarm optimization","Optimization methods","Acceleration","Automation"
Conference_Titel :
Recent Developments in Control, Automation and Power Engineering (RDCAPE), 2015 International Conference on
DOI :
10.1109/RDCAPE.2015.7281394