Particle swarm optimization for various types of economic dispatch problems

By D. Jeyakumar, T. Jayabarathi, T. Raghunathan. 2006

245 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f30303f6d5b59359637ebe3c75911bd59ccaf1aa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Rui Bo
2. Leandro dos S. Coelho
3. Fangxing Li
4. Viviana Cocco Mariani
5. Sohail Razzaq
6. Hongbin Sun
7. Guftaar Ahmad Sardar Sidhu
8. Anzar Mahmood

Citations in the corpus

• A Bi-Level Branch and Bound Method for Economic Dispatch With Disjoint Prohibited Zones Considering Network Losses (2015, methodology): “Compared with GA, a spatial swarm optimization (PSO) method, including three behaviors of inertial, cognitive, and social, was presented in [3] and [4] for solving various types of EDP and demonstrated a better result.”
• Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects (2008, background): “Recently, many researchers attempted to apply the PSO algorithm in solving optimization problems in electric power systems [37,39–52].”
• Combined emission economic dispatch of power system including solar photo voltaic generation (2015, methodology): “Complex constrained ED is addressed by intelligent methods including Genetic Algorithm (GA), PSO [13,14], Neural Network (NN), Evolutionary Programming (EP), Tabu search etc.”