DEMAND SIDE MANAGEMENT FOR WIND INTEGRATED SYSTEMS USING GENETIC ALGORITHM

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 variab...

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Bibliographic Details
Published inJournal of Electrical Systems Vol. 14; no. 4; pp. 217 - 230
Main Authors Chandra, D Rakesh, Kumari, M Sailaja, Grimaccia, Francesco, Sydulu, M, Mussetta, Marco
Format Journal Article
LanguageEnglish
Published Paris Engineering and Scientific Research Groups 01.01.2018
Subjects
Demand side management
Electric power generation
Electrical loads
Electricity consumption
Genetic algorithms
Load
Management
Peak load
Wind power
Wind power generation
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Summary: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) 21 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.
ISSN:1112-5209