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A local demand forecast by NN method for distributed autonomous voltage and reactive power control system
Authors:Osamu Suzuki  Guohong Wu  Tamotsu Minakawa
Affiliation:Tohoku Gakuin University, Japan
Abstract:The paper describes required technological innovation for voltage control of power systems under deregulation of power supply industries and presents a new concept of an autonomous control system for the voltage and reactive power of power systems. Installation of distributed generation connected to distribution networks will significantly increase the short circuit capacity of distribution lines. Therefore, GIS underground substations in the center of a large city are required to enable replacement of circuit breakers with ones of greater capability and to reform GIS bus configurations. Furthermore, a more detailed forecast of local demand and operation data of distributed generators are required for the stable control of voltage and reactive power. This paper presents methods of on‐line autonomous forecasting for short circuit capacity and demand of local transmission and distribution lines, which are indispensable for voltage and reactive control under deregulation of electric power supply industries. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 159(4): 27–37, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20450
Keywords:voltage and reactive power control  deregulation of power supply  coordination of power systems control  forecast of local demand and distributed generation  intelligent control system  neural network method
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