Title :
Optimized DG placement in radial distribution system with reconfiguration and capacitor placement using genetic algorithm
Author :
Saonerkar, A.K. ; Bagde, B.Y.
Author_Institution :
Dept. of Electr. Eng., Yeshwantrao Chavan Coll. of Eng., Nagpur, India
Abstract :
This paper presents minimization of total power loss, improvement in bus voltage profile and branch currents using network reconfiguration, capacitor banks and optimum number of distributed generation (DG) units placement in radial distribution system (RDS). Genetic algorithm (GA) is used to determine highly non-linear problem of calculating total power loss of RDS which are subjected to operational equality and inequality constraints. The effectiveness of this method is illustrated by comparing the results with Harmony search algorithm (HSA) and GA from the literature. The solution to the objective of minimization of loss is obtained using MATLAB optimization toolbox and MATLAB programming environment on standard IEEE 33-bus test system with different case studies.
Keywords :
genetic algorithms; power distribution; DG unit placement; GA; MATLAB optimization toolbox; MATLAB programming environment; RDS; branch currents; bus voltage profile; capacitor banks; capacitor placement; distributed generation unit placement; genetic algorithm; network reconfiguration; nonlinear problem; operational equality constraint; operational inequality constraint; optimized DG placement; radial distribution system; standard IEEE 33-bus test system; total power loss minimization; Distributed power generation; Minimization; Propagation losses; Substations; Capacitor placement; Distributed generation (DG); Genetic algorithm (GA); Network reconfiguration; Power loss; Radial distribution system (RDS);
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
DOI :
10.1109/ICACCCT.2014.7019263
