Paper Info
Title
Mixed GA-OPF based prioritized optimal location and rating of wind power generation in deregulated electricity market.
Abstract
Due to the liberalization of the electricity market, the traditional concepts and practices of the electrical systems have resulted in the introduction of Competitive Electricity Market (CEM). The recognition ofCEMprovides special consideration for the development of Renewable Energy (RE) throughout the world. The paper presents a mixed Genetic Algorithm (GA) and Optimal Power Flow (OPF) based model for determination of the optimal location and rating ofWind Power Generation (WPG). The optimization algorithm has been formulated and solved while considering the procurement cost minimization for obtaining the required energy by optimally locating the WPG in the system. The proposed mixed GA-OPF approach has been successfully applied to the modified IEEE 30-bus test system. The proposed algorithm also resulted in the prioritized list of optimal locations of WPG in the system.
Year
DOI
Venue
2018
10.3233/JIFS-169791
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Competitive electricity market,wind power generation,genetic algorithm,optimal power flow,procurement cost,optimal location
Electricity market,Operations research,Wind power generation,Artificial intelligence,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
35
SP5
1064-1246
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Naveen Kumar Sharma11837.92
Anuj Banshwar200.68
Bharat Bhushan Sharma300.68
Yog Raj Sood412.03
Rajnish Shrivastava500.68