Demand side management for wind integrated systems using genetic algorithm
Joint Authors
Grimaccia, Francesco
Chandra, D. Rakesh
Kumari, M. Sailaja
Mussetta, M. Sydulu Marco
Source
Issue
Vol. 14, Issue 4 (31 Dec. 2018), pp.217-230, 14 p.
Publisher
Publication Date
2018-12-31
Country of Publication
Algeria
No. of Pages
14
Main Subjects
Earth Sciences, Water and Environment
Electronic engineering
Topics
Abstract EN
Demand Side Management (DSM) is the most intelligent way to arrange loads for the future events.
The main intention of DSM is reducing the peak load, improving the system load factor and efficiency.
It is one of the key issues in present day power system operation.
As wind power generation is variable and intermittent in nature, using wind power in demand side management is a critical task.
This paper aims at maximum wind power utilization and improvement of system load factor.
The paper presents demand side management incorporating wind generation into the system using a Genetic Algorithm (GA) approach.
RTS (Reliability Test System) 24 bus and IEEE 14 bus systems are used to demonstrate day ahead demand side management with wind power integration.
It uses load shifting Demand Side Management technique to improve load factor of the system.
American Psychological Association (APA)
Chandra, D. Rakesh& Kumari, M. Sailaja& Grimaccia, Francesco& Mussetta, M. Sydulu Marco. 2018. Demand side management for wind integrated systems using genetic algorithm. Journal of Electrical Systems،Vol. 14, no. 4, pp.217-230.
https://search.emarefa.net/detail/BIM-833611
Modern Language Association (MLA)
Chandra, D. Rakesh…[et al.]. Demand side management for wind integrated systems using genetic algorithm. Journal of Electrical Systems Vol. 14, no. 4 (2018), pp.217-230.
https://search.emarefa.net/detail/BIM-833611
American Medical Association (AMA)
Chandra, D. Rakesh& Kumari, M. Sailaja& Grimaccia, Francesco& Mussetta, M. Sydulu Marco. Demand side management for wind integrated systems using genetic algorithm. Journal of Electrical Systems. 2018. Vol. 14, no. 4, pp.217-230.
https://search.emarefa.net/detail/BIM-833611
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 229-230
Record ID
BIM-833611