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Capacity-Based Optimization Using Whale Optimization Technique of a Power Distribution Network
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  • Bawoke Simachew,
  • baseem khan,
  • Josep M Guerrero,
  • Sanjeevikumar *Padmanaban,
  • Om Prakash Mahela,
  • Hassan Haes Alhelou
Bawoke Simachew
Wolaita Sodo University
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baseem khan
Hawassa University
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Josep M Guerrero
Aalborg Universitet
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Sanjeevikumar *Padmanaban
Aalborg University Esbjerg
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Om Prakash Mahela
Indian Inst Technol
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Hassan Haes Alhelou
Isfahan University of Technology
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Abstract

In the power distribution network, real power loss and voltage profile management are critical issues. By providing active and reactive power support, both of these issues can be managed. This paper utilized the Meta heuristic-based method for the optimal size and placement of distributed generation (DG) and capacitor (QG) sources for loss reduction by incorporating network current carrying capacity constraint in the optimization problem. The overall problem is optimized using an upgraded method of the fitness assignment and solution chasing based on the aggregate approach called Multi-objective Whale Optimization Algorithm (MWOA). Wind and solar photovoltaic sources are utilized as the distributed generation with their probabilistic outputs. The developed method is tested using two feeders of practical Bahir Dar Distribution Network, Ethiopia. The results of loss minimization and voltage profile management with MWOA are compared with multi-objective particle swam optimization (MPSO) with an equal number of iteration to show the superiority of the developed method.

Peer review status:IN REVISION

04 Dec 2020Submitted to Engineering Reports
04 Dec 2020Submission Checks Completed
04 Dec 2020Assigned to Editor
07 Dec 2020Reviewer(s) Assigned
05 Feb 2021Editorial Decision: Revise Major
10 May 20211st Revision Received
11 May 2021Submission Checks Completed
11 May 2021Assigned to Editor
11 May 2021Reviewer(s) Assigned
24 May 2021Editorial Decision: Revise Major