NDLI: Integrated Planning of Distributed Generation Sources and Networks in Distribution Systems

Content Provider	IEEE Xplore Digital Library
Author	Chen Hai-yan Chen Jin-fu Duan Xian-zhong
Copyright Year	2006
Description	Author affiliation: Huazhong Univ. of Sci. & Technol., Wuhan (Chen Hai-yan; Chen Jin-fu; Duan Xian-zhong)
Abstract	Distributed generation (DG) sources are becoming attractive alternatives for power system planners. When DG units participate in the expansion of distribution systems, the investments for grid upgrade can be deferred or reduced. However, the uncertainties of DG power production may cause difficult planning. In this paper, integrated planning problems of DG sources and networks in distribution systems are analyzed. A new two-step procedure is proposed. In the first step, all new lines are added to the network and an expectation planning model is presented. Stochastic simulation and genetic algorithm are applied to obtain the optimal ratings of DG units. In the second step, a heuristic successive backward algorithm based on a sensitivity index is presented. The sensitivity index is defined as the system capacity reserve decrease by the total investment cost of the line to be removed. According to the index, the redundant lines in the network can be eliminated. The effectivity of the proposed method is demonstrated through a practical test system.
Starting Page	207
Ending Page	211
File Size	5569569
Page Count	5
File Format	PDF
ISBN	9781861353429
DOI	10.1109/UPEC.2006.367745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-06
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	UPEC
Subject Keyword	Uncertainty Heuristic algorithms Stochastic processes Power system planning Stochastic planning Power system modeling Distributed generation source Genetic algorithms Power system Investments Production planning Power system analysis computing Distributed control Network planning
Content Type	Text
Resource Type	Article

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