Generation dispatch of combined solar thermal systems using dragonfly algorithm

This paper presents a method to solve Static Economic dispatch incorporating solar energy using Dragonfly algorithm. Economic dispatch is carried out considering valve point loading and prohibited operating zone constraints. Solar energy system is modelled using Beta distribution function and includ...

Full description

Saved in:
Bibliographic Details
Published in:Computing 2017, Vol.99 (1), p.59-80
Main Authors: Suresh, Velamuri, Sreejith, S.
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Analysis
Artificial Intelligence
Biogeography
Computer Appl. in Administrative Data Processing
Computer Communication Networks
Computer Science
Economic theory
Energy resources
Evolution
Generators
Genetic algorithms
Heuristic
Information Systems Applications (incl.Internet)
Linear programming
Mathematical analysis
Mathematical models
Methods
Normal distribution
Operating costs
Optimization
Optimization techniques
Power dispatch
Quadratic programming
Renewable resources
Seasons
Software Engineering
Solar energy
Solar farms
Studies
Tariffs
Test systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a method to solve Static Economic dispatch incorporating solar energy using Dragonfly algorithm. Economic dispatch is carried out considering valve point loading and prohibited operating zone constraints. Solar energy system is modelled using Beta distribution function and included in the objective function. The output power of solar farm is forecasted for four seasons. Different loading conditions are assumed in various seasons for the detailed analysis. Dragonfly algorithm, an emerging optimization technique for constrained optimization problems is applied as the optimization tool here. The proposed method is validated in 6 generator, 15 generator and 17 generator practical south Indian test systems. The results are compared with the state of art heuristic optimization method available in the literature.
ISSN:0010-485X
1436-5057
DOI:10.1007/s00607-016-0514-9