NDLI: Environmental/economic/reliability power dispatch based on RS and IPSO approach

Content Provider	IEEE Xplore Digital Library
Author	Jinchao Li Jinying Li
Copyright Year	2010
Description	Author affiliation: Economic and Management Department, North China Electric Power University, Baoding, China (Jinying Li) \|\| Economic and Management School, North China Electric Power University, Beijing, China (Jinchao Li)
Abstract	The environmental/economic/reliability dispatch (EERD) problems considering both economic and environmental are solved by the rough sets (RS) and improved particle swarm optimization (IPSO) method. For the EERD problems treats economic, emission and reliability impact as competing objectives. There are lots of indexes used for the evaluation of electric power generation units. Firstly, the RS method is used to the indexes reduction and the formation of the objective function. Then the IPSO method is used to calculate the output of the electric power generation units. At last, the feasibility of the proposed method is demonstrated from 8 unit systems, and the test results are compared with those obtained by Simulate Anneal (SA) and Genetic Algorithm (GA) in terms of solution quality and convergence properties. The simulation results show that the proposed method is capable of obtaining higher quality solutions.
Starting Page	3948
Ending Page	3952
File Size	250018
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584781
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics rough sets environmental/economic/reliability power dispatching Set theory improved particle swarm optimization Power systems Indexes Reliability Particle swarm optimization Power generation
Content Type	Text
Resource Type	Article

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