DocumentCode :
3105039
Title :
Optimal Control of Distribution Voltage with Coordination of Distribution Installations
Author :
Senjyu, Tomonobu ; Miyazato, Yoshitaka ; Yona, Atsushi ; Urasaki, Naomitsu ; Funabashi, Toshihisa
Author_Institution :
Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
7
Abstract :
In recent years, distributed generation, as clean natural energy generation and cogeneration system of high thermal efficiency, has increased due to the problems of global warming and exhaustion of fossil fuels. Many of the distributed generations are set up in the vicinity of the customer, and there is the advantage that this decreases transmission losses. However, output of natural energy power generation of wind power, photovoltaics, etc. which is distributed generation, is influenced by meteorological conditions. Therefore when the distributed generation increases, by the conventional control technique, it is expected that voltage change of each node becomes a problem. In this paper, we propose the optimal control of distribution voltage with coordination of distributed installations, such as LRT, SVR, SC, ShR, and SVC. In this research, SVR is assumed to be a model with tap changing where the signal is received from a central control unit. Moreover, the communication infrastructure in the supply of distribution system is assumed to be widespread. GA is used to decide the operation of this control. In order to confirm the validity of the proposed method, simulations are carried out for a distribution network model with a distributed generation (photovoltaic generation).
Keywords :
distributed power generation; genetic algorithms; optimal control; power distribution control; power generation control; central control unit; cogeneration system; communication infrastructure; distributed generation; distribution installations; distribution network model; distribution voltage; fossil fuels; genetic algorithm; high thermal efficiency; natural energy generation; optimal control; photovoltaic generation; transmission losses; wind power; Cogeneration; Communication system control; Distributed control; Distributed power generation; Fossil fuels; Global warming; Optimal control; Photovoltaic cells; Photovoltaic systems; Propagation losses; centralized control; coordinated control; distribution system; genetic algorithm(GA); voltage/reactive power control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.386251
Filename :
4276017
Link To Document :
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