Impact of reverse power flow on the optimal distributed generation placement problem. Issue 18 (30th August 2017)

• Record Type: Journal Article
• Authors: Sgouras, Kallisthenis I.; Bouhouras, Aggelos S.; Gkaidatzis, Paschalis A.; Doukas, Dimitrios I.; Labridis, Dimitris P.
• Is Part Of: IET generation, transmission & distribution. Volume 11:Issue 18(2017)
• Page Start: 4626
• Page End: 4632
• Publication Date: 2017-08-30
• Subjects: load flow -- distributed power generation -- particle swarm optimisation; reverse power flow -- optimal distributed generation placement problem -- ODGP -- optimal DG placement -- loss minimisation -- RPF -- distributed energy resources -- particle swarm optimisation algorithm -- IEEE 33‐bus test systems -- IEEE 30‐bus test systems; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2016.1791
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Integration of distributed generation (DG) in existing distribution networks has been studied thoroughly during the past years as a measure of reducing grid's power losses. However, the optimal DG placement, known as ODGP, toward loss minimisation, has not been studied in depth by considering the possible impact of the reverse power flow (RPF) caused by extended penetration of distributed energy resources. This study uses a constriction factor embedded local particle swarm optimisation algorithm along with the appropriate particle formulation that solves the ODGP problem by taking into account the impact of possible RPF. In this study, the idea of RPF modelling is introduced by providing extended versions of IEEE test systems. Modified versions of the IEEE 30‐bus and IEEE 33‐bus test systems are modelled and results are presented in order to highlight the impact of RPF on the ODGP problem solution. The mathematical formulation is given, results and analysis for both extended systems are presented, while the importance of RPF for different conditions is assessed.