Index-based optimal DG allocation for voltage quality improvement in an unbalanced network

Ahmadreza Eslami

doi:10.30574/gjeta.2021.6.2.0020

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Index-based optimal DG allocation for voltage quality improvement in an unbalanced network

Ahmadreza Eslami ^*

Department of Electrical and Computer Engineering, Isfahan University of Technology Isfahan, Iran.

Research Article

Global Journal of Engineering and Technology Advances, 2021, 06(02), 090-103.

Article DOI: 10.30574/gjeta.2021.6.2.0020

DOI url: https://doi.org/10.30574/gjeta.2021.6.2.0020

Publication history

Received on 10 January 2021; revised on 12 February 2021; accepted on 14 February 2021

Abstract

Voltage quality is a one of the major concerns in distribution systems. Distributed Generations (DGs) have the potential to improve voltage quality, if optimally planned and operated. Considering the problem of DG siting and sizing, this paper aims at integrating technical factors, particularly voltage quality, in planning of DGs. Hence, a methodology is proposed which optimizes voltage quality in the presence of DGs and can be used as one of the objectives in a multi-objective problem or as an intermediate stage in usual DG planning. Modified voltage quality indices are proposed which consider factors including voltage profile, voltage variation due to DG disconnection, voltage regulation and voltage unbalance. The indices are defined in such a manner suitable for three-phase unbalanced networks. The system voltage quality is assessed by a new comprehensive voltage quality index. By applying this index, the DGs locating and penetration problem is formulated to improve system voltage quality. The method is tested on IEEE 13-bus feeder which is an inherently unbalanced network.

Keywords

Voltage quality; Distributed generation planning; Multi-objective voltage index; Voltage profile; Voltage unbalance

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How to cite this article

Ahmadreza Eslami. Index-based optimal DG allocation for voltage quality improvement in an unbalanced network. Global Journal of Engineering and Technology Advances, 2021, 6(2), 090-103. Article DOI: https://doi.org/10.30574/gjeta.2021.6.2.0020

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