DocumentCode :
2067533
Title :
Methodology for monitoring, control and operation of power systems with wind farms
Author :
Meliopoulos, A.P. ; Farantatos, E. ; Renke Huang ; Yongnam Cho ; Polymeneas, E. ; Zhenyu Tan ; Cokkinides, G.J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents an infrastructure and a monitoring and control approach for systems with wind farms that enables coordination of the operation of wind farms with the bulk power system and maximizes the utilization of the available wind energy at the wind farm locations. A hierarchical optimization scheme is proposed in this work. In particular, a system level optimization defines the optimal operating point for the wind farms, the thermal generating units and other controllable devices in the system. At each wind farm, a lower level optimization procedure is performed which defines the operating condition of each wind turbine at the wind farm. The proposed infrastructure is enabled by a distributed state estimation procedure that evaluates the real time model of the system and the wind farms, used by the hierarchical optimization scheme, continuously with speeds of 60 times per second.
Keywords :
optimisation; power distribution control; power generation control; power system measurement; power system state estimation; thermal power stations; wind power plants; distributed state estimation procedure; hierarchical optimization scheme; power system control; power system monitoring; power system operation; system level optimization procedure; thermal generating unit; wind energy utilization; wind farm location; wind turbine; Mathematical model; Monitoring; Optimization; Reactive power; Substations; Wind farms; Wind turbines; Distributed State Estimation; GPS Synchronized Measurements; Hierarchical Optimization; Phasor Measurement Units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345626
Filename :
6345626
Link To Document :
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