Volume 2, Issue 2, December 2018, Page: 56-63
Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network
Pyone Lai Swe, Department of Electrical Power Engineering, Technological University (Yamethin), Mandalay, Myanmar
Received: Nov. 23, 2018;       Accepted: Dec. 13, 2018;       Published: Jan. 15, 2019
DOI: 10.11648/j.ajece.20180202.16      View  268      Downloads  130
Abstract
Power system deregulation and shortage of transmission capacities have led to an increase interest in Distributed Generations (DGs) sources. The optimal location of DGs in power systems is very important for obtaining their maximum potential benefits. A novel approach is proposed in this paper for placement of Distributed Generation (DG) units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. This paper presents an efficient method for feeder reconfiguration associated with DG allocation in radial distribution networks for active power compensation by reduction in real power losses and enhancement in voltage profile. Modified plant growth simulation algorithm has been applied successfully to minimize real power loss because it does not require barrier factors or cross over rates because the objectives and constraints are dealt separately. The main advantage of this algorithm is continuous guiding search along with changing objective function because power from distributed generation is continuously varying so this can be applied for real time applications with required modifications. The proposed system has been implemented with different scenarios on 33 bus Yamethin distribution system.
Keywords
Feeder Reconfiguration, DG, Sensitivity Analysis, Radial Distribution System, Location and Sizing
To cite this article
Pyone Lai Swe, Feeder Reconfiguration and Distributed Generator Placement in Electric Power Distribution Network, American Journal of Electrical and Computer Engineering. Vol. 2, No. 2, 2018, pp. 56-63. doi: 10.11648/j.ajece.20180202.16
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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