Open AccessSolving Power System Economic Dispatch Problem Based on Genetic Algorithm
Author(s) -
Yaming Ren
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1575/1/012048
Subject(s) - economic dispatch , electric power system , genetic algorithm , mathematical optimization , computer science , economic power , constraint (computer aided design) , premise , power (physics) , generator (circuit theory) , penalty method , mathematics , linguistics , physics , geometry , philosophy , quantum mechanics , politics , political science , law
With the rapid development of the world economy, the demand for power load is also growing rapidly. The power system economic dispatch problem studied in this paper is to reduce the fuel cost of generator units on the premise of satisfying some series of constraints of power system. In this paper, genetic algorithm is adopted as the solution strategy for power system economic dispatch problem, and the penalty function is used to deal with the equality constraint condition in the power system economic dispatch problem. Finally, we use the genetic algorithm to solve the IEEE-9 notes power system economic dispatch problem and give the corresponding simulation results. The simulation results show that the genetic algorithm can solve the power system economic dispatch problem effectively.