Title :
Impact of Grid-Connected Photovoltaic System on total system losses with consideration of capacitor bank setting using Genetic algorithm
Author :
Kongtonpisan, S. ; Chaitusaney, S.
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Distribution system has the highest total system losses. There are many methods to reduce the total system losses. Installing Distributed Generator (DG) such as Grid-Connected Photovoltaic System (GCPV) is one of the most efficient methods. However, it is too complicated because there are many related variables. A suitable optimization technique is Genetic algorithm which can be applied to complicated problems and combined with encoding, reproduction, crossover and mutation. This paper proposes the impact of Grid Connected Photovoltaic System on total system losses with setting capacitor bank using genetic algorithm. The proposed method is tested with a 54-bus Thailand test system in Matlab-Simulink.
Keywords :
distributed power generation; distribution networks; genetic algorithms; photovoltaic power systems; power capacitors; power grids; 54-bus Thailand test system; GCPV; capacitor bank; distributed generator; distribution system; genetic algorithm; grid-connected photovoltaic system; optimization technique; system losses; Bibliographies; Biological cells; Genetic algorithms; Insulated gate bipolar transistors; Inverters; Materials; Mathematical model; Capacitor Bank; DG; Distribution system; GA; GCPV; Optimization;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on
Conference_Location :
Khon Kaen
Print_ISBN :
978-1-4577-0425-3
DOI :
10.1109/ECTICON.2011.5947982