Open AccessOptimal value of Economic Load Dispatch using Swarm Algorithm
Author(s) -
Binay Kumar,
S. Hussain Vali,
Vempalle Rafi,
G. Nageswara Reddy
Publication year - 2021
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 - 10.1088/1742-6596/2070/1/012136
Subject(s) - particle swarm optimization , mathematical optimization , minification , reduction (mathematics) , economic dispatch , local optimum , convergence (economics) , computer science , multi swarm optimization , nonlinear system , population , point (geometry) , mathematics , electric power system , economics , power (physics) , physics , geometry , demography , quantum mechanics , sociology , economic growth
In this paper space reduction particle swarm optimization(SRPSO) is proposed for solving single-objective optimization problems. Minimization of cost is considered as an objective in the economic dispatch problem. The valve point loading effect is incorporated with the cost function which transfigures to the nonlinear problem. To improve the convergence speed, space reduction is essential and parameter variation keeps away the struck of local optima. Particle swarm optimization (PSO) emphasizes global search and is encountered as a stochastic population-based method. The proposed method is validated on a 26 bus system with 6 generators and the performance results are compared with the other existing techniques.