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

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307198

Filename

6307198