Optimized distribution loss evaluation in ring main distribution system with DG placement, reconfiguration and capacitor placement using GA

• Published in: 2016 International Conference on Inventive Computation Technologies (ICICT) Vol. 3; pp. 1 - 7
• Main Authors: Saonerkar, A. K., Tiwari, S., Pande, A. S., Sharma, P. G., Bagde, B. Y.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2016
• Subjects: Capacitor placement; Capacitors; Distributed generation (DG); Distributed power generation; Genetic algorithm (GA); Genetic algorithms; Linear programming; Load flow; Minimization of total power loss; Network reconfiguration; Propagation losses; Radial distribution system (RDS); Reactive power; Ring main distribution system (RMDS)
• DOI: 10.1109/INVENTIVE.2016.7830235

This paper presents optimized distribution loss evaluation in ring main distribution system with Distributed Generation (DG) placement, reconfiguration and capacitor placement using Genetic Algorithm (GA). This paper compare results obtained with Radial Distribution System (RDS) and Ring Main Distribution System (RMDS) and proves that loss can be minimized just by modifying the type of distribution network from RDS to RMDS and can further be reduced to high level by DG and capacitor placements at strategic locations. Genetic algorithm (GA) is used to evaluate highly non-linear problem of evaluating total power loss of RDS and RMDS which are subjected to operational equality & inequality constraints. The efficacy of this method is illustrated by comparative analysis of the results with Harmony search algorithm (HSA) and GA from the literature. The solution to the objective of minimization of total loss is obtained using MATLAB optimization toolbox and MATLAB programming environment on standard IEEE 33-bus test system with variety (different/various combinations) of case studies.