DocumentCode :
574694
Title :
Frequency-based load control in power systems
Author :
Changhong Zhao ; Topcu, Ufuk ; Low, S.H.
Author_Institution :
Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
4423
Lastpage :
4430
Abstract :
Maintaining demand-supply balance and regulating frequency are key issues in power system control. Conventional approaches focus on adjusting the generation so that it follows the load. However, relying on solely regulating generation is inefficient, especially for power systems where contingencies like a sudden loss in generation or a sudden change in load frequently occur. We present a frequency-based load control scheme for demand-supply balancing and frequency regulation. We formulate a load control optimization problem which aims to balance the change in load with the change in supply while minimizing the overall end-use disutility. By studying the power system model that characterizes the frequency response to real power imbalance between demand and supply, we design decentralized synchronous and asynchronous algorithms which take advantage of local frequency measurements to solve the load control problem. Case studies show that the proposed load control scheme is capable of relatively quickly balancing the power and restoring the frequency under generation-loss like contingencies, even when users only have the knowledge of a simplified system model instead of an accurate one.
Keywords :
load regulation; optimisation; power system control; supply and demand; asynchronous algorithms; decentralized synchronous; demand supply balance; frequency based load control; frequency measurements; frequency regulation; frequency response; load control optimization; power imbalance; power system control; regulating generation; Frequency control; Load flow control; Load modeling; Numerical models; Power system stability; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315283
Filename :
6315283
Link To Document :
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