NDLI: Using genetic alghoritm for distributed generation allocation to reduce losses and improve voltage profile

Content Provider	IEEE Xplore Digital Library
Author	Alinejad-Beromi, Y. Sedighizadeh, M. Bayat, M.R. Khodayar, M.E.
Copyright Year	2007
Description	Author affiliation: Univ. of Semnan, Semnan (Alinejad-Beromi, Y.; Bayat, M.R.)
Abstract	This paper presents a method for the optimal allocation of Distributed generation in distribution systems. In this paper, our aim would be optimal distributed generation allocation for voltage profile improvement and loss reduction in distribution network. Genetic Algorithm (GA) was used as the solving tool, which referring two determined aim; the problem is defined and objective function is introduced. Considering to fitness values sensitivity in genetic algorithm process, there is needed to apply load flow for decision-making. Load flow algorithm is combined appropriately with GA, till access to acceptable results of this operation. We used MATPOWER package for load flow algorithm and composed it with our Genetic Algorithm. The suggested method is programmed under MATLAB software and applied ETAP software for evaluating of results correctness. It was implemented on part of Tehran electricity distributing grid. The resulting operation of this method on some testing system is illuminated improvement of voltage profile and loss reduction indexes.
Starting Page	954
Ending Page	959
File Size	1250917
Page Count	6
File Format	PDF
ISBN	9781905593361
DOI	10.1109/UPEC.2007.4469077
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-04
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	UPEC
Subject Keyword	Voltage Profile Costs Decision making Genetic Algorithm Minimization Technology planning losses Genetic algorithms Load flow Distributed Generation Allocation Voltage Distributed control Packaging Capacity planning
Content Type	Text
Resource Type	Article

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