NDLI: A green dispatch model in wind power integrated system incorporating energy-environmental efficiency

Content Provider	IEEE Xplore Digital Library
Author	Chen, Daojun Gong, Qingwu Zou, Bichang Zhao, Jian
Copyright Year	2011
Description	Author affiliation: School of Electrical Engineering, Wuhan University, Wuhan, Hubei, 430072, China (Chen, Daojun; Gong, Qingwu; Zou, Bichang; Zhao, Jian)
Abstract	With rising pressure caused by decreasing natural resources, there emerges stronger call for environmental protection and sustainable development. As a kind of environmental-friendly energy, wind power has been increasing in capacity around the world in recent years. As more and more wind power gets connected with the grid, its impact on power dispatch should also be considered. Based on traditional power system optimized dispatch, this paper introduces the energy-environmental efficiency concept into construction of a green dispatch model for wind incorporated power systems. The strategy takes both minimum resource consumption and best energy-environmental efficiency as indexes to assess the optimization of wind power incorporated systems from an environmental-friendly point of view. Fuzzy technology is adopted along with the tabu search-based PSO algorithm to solve the problem. It is proven that the proposed model is reasonable and of good practicality.
Starting Page	1
Ending Page	8
File Size	700466
Page Count	8
File Format	PDF
ISBN	9781457710001
ISSN	19449925
e-ISBN	9781457710025
e-ISBN	9781457710018
DOI	10.1109/PES.2011.6038894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Generators Wind power generation Mathematical model Wind farms Educational institutions Algorithm design and analysis Green products particle swarm algorithm wind power green dispatch model energy-environmental efficiency tabu search
Content Type	Text
Resource Type	Article

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