A coordinated planning framework of electric power distribution system: Intelligent reconfiguration. (6th February 2018)

• Record Type: Journal Article
• Authors: Kumar, Deepak; Singh, Akansha; Mishra, Sudhansu Kumar; Jha, Rakesh Chandra; Samantaray, Subhransu Ranjan
• Is Part Of: International transactions on electrical energy systems. Volume 28:Number 6(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-02-06
• Subjects: bit‐shift operator -- distributed generation -- load flow -- particle‐swarm optimization -- reconfiguration; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/etep.2543
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: This paper has proposed a comprehensive coordinated planning framework for solving the network reconfiguration with simultaneous installation of distribution generation (DG) units, with an objective of minimizing the feeder power loss and boosting the voltage profile of the electric distribution system. A meta‐heuristic bit‐shift operator–based particle‐swarm‐optimization (PSO) technique has been used for simultaneous reconfiguration with the optimal siting and sizing of the DG units. The bit‐shift operator–based PSO has been obtained by incorporating a shift operator in the velocity equation of the basic PSO, such that the problem moves in the direction of finding the best optimal reconfigured system. The entire problem has been investigated in the light of both voltage independent and dependent loads, such as residential, industrial, and commercial, to evaluate the performance of the proposed work in a practical scenario. A sensitivity analysis has been applied for finding the optimal location for the DG placement. The efficacy and validation of the proposed method have been tested on a standard IEEE test system under 4 different load models for 5 different cases.