Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/593316
Title: An Assessment of the Impact of Uncertainty on Automatic Generation Control Systems
Authors: Dimitra Apostolopoulou;Alejandro D. Domínguez-García;Peter W. Sauer
subject: noise in communication channels|renewable-based generation|stochastic differential equation model|frequency performance criteria|Automatic generation control
Year: 2016
Publisher: IEEE
Abstract: This paper proposes a framework to quantify the impact of uncertainty that arises from load variations, renewable-based generation, and noise in communication channels on the automatic generation control (AGC) system. To this end, we rely on a model of the power system that includes the synchronous generator dynamics, the network, and the AGC system dynamics, as well as the effect of various sources of uncertainty. Then, we develop a method to analytically propagate the uncertainty from the aforementioned sources to the system frequency and area control error (ACE), and obtain expressions that approximate their probability distribution functions. We make use of this framework to obtain probabilistic expressions for the frequency performance criteria developed by the North American Electric Reliability Corporation (NERC); such expressions may be used to determine the limiting values of uncertainty that the system may withstand. The proposed ideas are illustrated through the Western Electricity Coordination Council (WECC) 9-bus 3-machine system and a 140-bus 48-machine system.
URI: http://localhost/handle/Hannan/175256
http://localhost/handle/Hannan/593316
ISSN: 0885-8950
1558-0679
volume: 31
issue: 4
Appears in Collections:2016

Files in This Item:
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Title: An Assessment of the Impact of Uncertainty on Automatic Generation Control Systems
Authors: Dimitra Apostolopoulou;Alejandro D. Domínguez-García;Peter W. Sauer
subject: noise in communication channels|renewable-based generation|stochastic differential equation model|frequency performance criteria|Automatic generation control
Year: 2016
Publisher: IEEE
Abstract: This paper proposes a framework to quantify the impact of uncertainty that arises from load variations, renewable-based generation, and noise in communication channels on the automatic generation control (AGC) system. To this end, we rely on a model of the power system that includes the synchronous generator dynamics, the network, and the AGC system dynamics, as well as the effect of various sources of uncertainty. Then, we develop a method to analytically propagate the uncertainty from the aforementioned sources to the system frequency and area control error (ACE), and obtain expressions that approximate their probability distribution functions. We make use of this framework to obtain probabilistic expressions for the frequency performance criteria developed by the North American Electric Reliability Corporation (NERC); such expressions may be used to determine the limiting values of uncertainty that the system may withstand. The proposed ideas are illustrated through the Western Electricity Coordination Council (WECC) 9-bus 3-machine system and a 140-bus 48-machine system.
URI: http://localhost/handle/Hannan/175256
http://localhost/handle/Hannan/593316
ISSN: 0885-8950
1558-0679
volume: 31
issue: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7287795.pdf1.83 MBAdobe PDFThumbnail
Preview File
Title: An Assessment of the Impact of Uncertainty on Automatic Generation Control Systems
Authors: Dimitra Apostolopoulou;Alejandro D. Domínguez-García;Peter W. Sauer
subject: noise in communication channels|renewable-based generation|stochastic differential equation model|frequency performance criteria|Automatic generation control
Year: 2016
Publisher: IEEE
Abstract: This paper proposes a framework to quantify the impact of uncertainty that arises from load variations, renewable-based generation, and noise in communication channels on the automatic generation control (AGC) system. To this end, we rely on a model of the power system that includes the synchronous generator dynamics, the network, and the AGC system dynamics, as well as the effect of various sources of uncertainty. Then, we develop a method to analytically propagate the uncertainty from the aforementioned sources to the system frequency and area control error (ACE), and obtain expressions that approximate their probability distribution functions. We make use of this framework to obtain probabilistic expressions for the frequency performance criteria developed by the North American Electric Reliability Corporation (NERC); such expressions may be used to determine the limiting values of uncertainty that the system may withstand. The proposed ideas are illustrated through the Western Electricity Coordination Council (WECC) 9-bus 3-machine system and a 140-bus 48-machine system.
URI: http://localhost/handle/Hannan/175256
http://localhost/handle/Hannan/593316
ISSN: 0885-8950
1558-0679
volume: 31
issue: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7287795.pdf1.83 MBAdobe PDFThumbnail
Preview File