DocumentCode :
1520728
Title :
A Dynamic Approach for Distribution System Planning Considering Distributed Generation
Author :
Naderi, Ehsan ; Seifi, Hossein ; Sepasian, Mohammad Sadegh
Author_Institution :
Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
Volume :
27
Issue :
3
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
1313
Lastpage :
1322
Abstract :
Deregulation in the power system industry and invention of new technologies for producing electrical energy have led to innovations in distribution system planning (DSP). Distributed generation (DG) is one of the most attractive technologies that brings different kinds of advantages to a wide range of entities, engaged in power systems. In this paper, a new model for considering DGs in the DSP problem is presented. In this model, an optimal power flow (OPF) is proposed to minimize capital costs for network upgrading, operation and maintenance costs, and the cost of losses for handling the load growth for the planning horizon. The term “dynamic” is used to refer to the planning over a specific period so that dynamic distribution system planning is, in fact, proposed. Besides, a modified genetic algorithm is used to find the optimal topology solution. The effectiveness of this method is demonstrated through examination on a radial distribution network.
Keywords :
distributed power generation; genetic algorithms; load flow; power distribution planning; power generation planning; DSP problem; capital costs; deregulation; distributed generation; distribution system planning; dynamic approach; maintenance cost; modified genetic algorithm; network upgrading; operation cost; optimal power flow; power system industry; radial distribution network; Digital signal processing; Investments; Load modeling; Optimization; Planning; Power system dynamics; Substations; Distributed generation (DG); distribution system planning (DSP); genetic algorithm (GA); optimal load flow (OPF);
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2012.2194744
Filename :
6203389
Link To Document :
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