TY - GEN
T1 - Advanced intelligent voltage control systems coordinating main and local power systems
AU - Suzuki, O.
AU - Minakawa, T.
AU - Yokoyama, R.
AU - Tanaka, H.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Control of power systems
KW - Coordination of main and local power system control
KW - Fuzzy expert
KW - Intelligent control systems
KW - Neural network
KW - Voltage and reactive power control
UR - http://www.scopus.com/inward/record.url?scp=51549115068&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51549115068&partnerID=8YFLogxK
U2 - 10.1109/PTC.2005.4524418
DO - 10.1109/PTC.2005.4524418
M3 - Conference contribution
AN - SCOPUS:51549115068
SN - 9781424418749
BT - 2005 IEEE Russia Power Tech, PowerTech
T2 - 2005 IEEE Russia Power Tech, PowerTech
Y2 - 27 June 2005 through 30 June 2005
ER -