Title :
Solution to the economic dispatch problemwithout valve-point loading effect by using RLPSO algorithm
Author :
Khaleghi, Sadegh ; Faghihnia, Elahe ; Mousavi, Amir Ebrahimi ; Ghahremani, Elnaz
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Mashhad, Iran
Abstract :
This article introduces a new method for particle swarm optimization algorithm. This method will improve the speed of reaching minimization point of cost value. Then we applied three typical methods on Economic dispatch problem with the similar terms for three system and after comprehensive tests on these system, we observed that our new method improves mean time and mean cost of our application. At the end of the each part of the article, results were compared to each other in the separate table based on mean time, best cost and mean cost with specific values of generation.
Keywords :
learning (artificial intelligence); particle swarm optimisation; power engineering computing; power generation dispatch; power generation economics; RLPSO algorithm; cost value minimization point; economic dispatch problem; electricity generation; mean cost; mean time; particle swarm optimization algorithm; reinforcement learning; Algorithm design and analysis; Cost function; Economics; Loading; Particle swarm optimization; Programming; Economic dispatch; Particle swarm optimization;
Conference_Titel :
Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
Conference_Location :
Mashhad
DOI :
10.1109/ICTCK.2014.7033512
