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

Ahmed Ali, Sanjeevikumar Padmanaban, Bhekisipho Twala and Tshilidzi Marwala
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Ahmed Ali: Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa
Sanjeevikumar Padmanaban: Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa
Bhekisipho Twala: Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa
Tshilidzi Marwala: Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa

Energies, 2017, vol. 10, issue 7, 1-13

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.

Keywords: optimization; simulated annealing; genetic algorithm; power losses; power consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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