Hybridization of particle Swarm Optimization with Bat Algorithm for optimal reactive power dispatch

Hybridization of particle Swarm Optimization with Bat Algorithm for optimal reactive power dispatch

This research presents a Hybrid Particle Swarm Optimization with Bat Algorithm (HPSOBA) based approach to solve Optimal Reactive Power Dispatch (ORPD) problem. The primary objective of this project is minimization of the active power transmission losses by optimally setting the control variables...

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Bibliographic Details
Main Author: Agbugba, Emmanuel Emenike
Other Authors: Wang, Zenghui
Format: Others
Language:en
Published: 2018
Subjects:
Hybridization
Hybrid Particle Swarm Optimization (HPSOBA)
Modified Hybrid Particle Swarm Optimization (MHPSOBA)
Optimal Power Flow (OPF)
Optimal Reactive Power Dispatch (ORPD)
Particle Swarm Optimization (PSO)
Bat Algorithm (BA)
Active power loss minimization
Benchmark functions
Distributed Generation (DG)
Conventional optimization technique
Evolutionary optimization technique
Artificial intelligence
Equality constraints
Inequality constraints
Penalty function
620.00151
Mathematical optimization
Swarm intelligence
Engineering mathematics > Data processing
MATLAB
Computer-aided engineering
Online Access:Agbugba, Emmanuel Emenike (2017) Hybridization of particle Swarm Optimization with Bat Algorithm for optimal reactive power dispatch, University of South Africa, Pretoria, <http://hdl.handle.net/10500/23630>
http://hdl.handle.net/10500/23630

Internet

Agbugba, Emmanuel Emenike (2017) Hybridization of particle Swarm Optimization with Bat Algorithm for optimal reactive power dispatch, University of South Africa, Pretoria, <http://hdl.handle.net/10500/23630>
http://hdl.handle.net/10500/23630

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