A New Optimization Algorithm for Optimal Wind Turbine Location Problem in Constantine City Electric Distribution Network Based Active Power Loss Reduction

Subject Areas : Management of Technology and production

Samir Settoul ¹ , Mohamed Zellagui ² , Rachid Chenni ³

1 - Department of Electrotechnic, Mentouri University of Constantine, Constantine, Algeria
2 - Department of Electrical Engineering, University of Batna, Fesdis, Batna, Algeria|Department of Electrical Engineering, École de Technologie Supérieure, University of Québec, Montréal, Canada
3 - Department of Electrical Engineering, École de Technologie Supérieure, University of Québec, Montréal, Canada

Received: 2020-01-30 Accepted : 2020-11-25 Published : 2021-12-01

Keywords: Optimal placement, Distributed Generation (DG), Wind Turbine (WT), Active Power Loss, Electric Distribution Network (EDN), Salp Swarm Algorithm (SSA),

Abstract :

The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of optimal integration of Distributed Generation (DG) based WT (location and sizing) in EDN. The proposed algorithm is applied on practical Algerian EDN in Constantine city 73-bus in presence single and multiple WT-DGs for reducing the total active power loss. The validity of the proposed algorithm is demonstrated by comparing the obtained results with those reported in literature using other optimization algorithms. A numerical simulation including comparative studies was presented to demonstrate the performance and applicability of the proposed algorithm.

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