An analytical approach for allocation and sizing of distributed generations in radial distribution network
Partha Kayal
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, 700150 India
Search for more papers by this authorCorresponding Author
Sayonsom Chanda
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Correspondence
Sayonsom Chanda, School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99163, USA.
Email: [email protected]
Search for more papers by this authorChandan Kumar Chanda
Department of Electrical Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103 India
Search for more papers by this authorPartha Kayal
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, 700150 India
Search for more papers by this authorCorresponding Author
Sayonsom Chanda
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Correspondence
Sayonsom Chanda, School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99163, USA.
Email: [email protected]
Search for more papers by this authorChandan Kumar Chanda
Department of Electrical Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103 India
Search for more papers by this authorSummary
This article presents a simple model to identify the proper location and size of distributed generations (DGs) in radial distribution networks. The proposed model is a combination of a 2-stage framework that determines a suitable location for DG and appropriate size at obtained location. An index is formulated that combines aspects of the real power losses in the network and the voltage stability condition of the network. The index is defined as the DG selection index, and it is used to determine the proper bus location for the DG. On the basis of a DG sizing formula presented in the article, the optimal generation capacity of a DG unit is determined. The proposed methodology is tested on 12-bus, 33-bus, and 69-bus radial distribution network models that consider different operational power factor operation modes of DGs. The simulation results are compared with existing analytical approaches to demonstrate the effectiveness of the proposed methodology in radial network systems.
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