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

Document Type : Original Manuscript


1 Department of Electrotechnic, Mentouri University of Constantine, Constantine, Algeria

2 Department of Electrical Engineering, University of Batna, Fesdis, Batna, Algeria

3 Department of Electrical Engineering, École de Technologie Supérieure, University of Québec, Montréal, Canada


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.

Graphical Abstract

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


  • Proposed Salp Swarm Algorithm (SSA) for optimal wind turbine location problem
  •  Applied on practical Algerian Electric Distribution System (EDS)
  • Optimal integration and planning of single and multiple WT sources in the EDS
  • The proposed algorithm is better than other optimization algorithms.
  • This model could be used to perform the renewable energy integration analysis on EDS


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