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Energies 2017, 10(7), 960; https://doi.org/10.3390/en10070960

Electric Power Grids Distribution Generation System for Optimal Location and Sizing—A Case Study Investigation by Various Optimization Algorithms

Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa
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Received: 6 May 2017 / Revised: 1 July 2017 / Accepted: 5 July 2017 / Published: 10 July 2017
(This article belongs to the Special Issue Innovative Methods for Smart Grids Planning and Management)
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Abstract

In this paper, the approach focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution. The aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation. To provide this assessment, several experiments have been made to the IEEE 34-bus test case and various actual test cases with the respect of multiple Distribution Generation DG units. The possibility and effectiveness of the proposed algorithm for optimal placement and sizing of DG in distribution systems have been verified. Finally, four algorithms were trailed: simulated annealing (SA), hybrid genetic algorithm (HGA), genetic algorithm (GA), and variable neighbourhood search. The HGA algorithm was found to produce the best solution at a cost of a longer processing time. View Full-Text
Keywords: optimization; simulated annealing; genetic algorithm; power losses; power consumption optimization; simulated annealing; genetic algorithm; power losses; power consumption
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Ali, A.; Padmanaban, S.; Twala, B.; Marwala, T. Electric Power Grids Distribution Generation System for Optimal Location and Sizing—A Case Study Investigation by Various Optimization Algorithms. Energies 2017, 10, 960.

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