Title :
HGPSO Based Reactive Power Optimization of Distribution Network with Photovoltaic Generation
Author :
Li, Lin ; Hu, Zhijian ; Hu, Mengyue ; Zheng, Jieyun ; Zhu, Longzhu ; He, Long ; Zhang, Chengxue
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Abstract :
With large centralized photovoltaic (PV) power stations connected to the grid, its effects on the distribution networks cannot be ignored. The mathematical model of a photovoltaic power station was built and the power outputs of this model with the changes of illumination were simulated. One photovoltaic power station and one reactive power compensation capacitor were accessed to IEEE 30-node network. The voltages of generators, location and capacity of the PV power station and reactive power compensation capacitor are regarded as controllable variables. A hybrid intelligent algorithm (HGPSO) combining GA and PSO was applied to optimize the reactive power and voltage of the IEEE 30-node network and an optimal power flow distribution and the minimum network losses are realized.
Keywords :
IEEE standards; distribution networks; genetic algorithms; particle swarm optimisation; photovoltaic power systems; GA; HGPSO; IEEE 30-node network; centralized PV power stations; centralized photovoltaic power stations; distribution network; hybrid genetic particle swarm optimization; hybrid intelligent algorithm; mathematical model; minimum network losses; optimal power flow distribution; photovoltaic generation; power outputs; reactive power compensation capacitor; reactive power optimization; Lighting; Mathematical model; Optimization; Photovoltaic systems; Reactive power;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307198
