Title :
Advanced intelligent voltage control systems coordinating main and local power systems
Author :
Suzuki, O. ; Minakawa, T. ; Yokoyama, R. ; Tanaka, H.
Author_Institution :
Tohoku Gakuin Univ., Sendai
Abstract :
This paper describes technology required for advanced intelligent voltage and reactive secondary control systems enabling co-ordination of voltage control between main and local power systems. Firstly, the paper comments on the inadequate behavior of voltage and reactive power control systems, such as up-and-down fluctuations, which sometimes occur during off-peak load times, and explains the reasons for voltage fluctuations. It then explains that the true nature of the EMS of power system control is based on an autonomous distributed control system. Based on such recognition, the paper proposes the concept of advanced EMS systems for co-ordination of voltage and reactive power control. As background, the paper briefly describes two previously developed intelligent component functions, namely, flexible fuzzy zones and feed foreword control to prevent voltage fluctuation, and on-line acquisition of voltage characteristics by neural network technology. The paper describes local demand forecasting one hour in advance by the NN method. This method is also applicable to the forecast of the total demand of a power system.
Keywords :
energy management systems; fuzzy set theory; neurocontrollers; power system control; reactive power control; voltage control; EMS; flexible fuzzy zones; intelligent component functions; intelligent voltage-reactive secondary control systems; local power systems; neural network technology; off-peak load times; power system control; up-and-down fluctuations; voltage fluctuation; Demand forecasting; Intelligent control; Intelligent systems; Medical services; Neural networks; Power system control; Power systems; Reactive power control; Voltage control; Voltage fluctuations; Voltage and reactive power control; control of power systems; coordination of main and local power system control; fuzzy expert; intelligent control systems; neural network;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524418