文章基本信息

标题：DEMAND SIDE MANAGEMENT FOR WIND INTEGRATED SYSTEMS USING GENETIC ALGORITHM
本地全文：下载
作者：Rakesh Chandra ; M.Sailaja Kumari ; Francesco Grimaccia 等
期刊名称：Journal of Electrical Systems
印刷版ISSN：1112-5209
出版年度：2018
卷号：14
期号：4
页码：217-230
出版社：ESRGroups
摘要：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.
关键词：Demand Side Management (DSM); Wind power; Genetic algorithm; Load factor.