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Fast Load Control with Stochastic Frequency Measurement

Zhao, Changhong and Topcu, Ufuk and Low, Steven H. (2011) Fast Load Control with Stochastic Frequency Measurement. California Institute of Technology , Pasadena, CA. (Unpublished)

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Matching demand with supply and regulating frequency are key issues in power system operations. Flexibility and local frequency measurement capability of loads offer new regulation mechanisms through load control. We present a frequency-based fast load control scheme which aims to match total demand with supply while minimizing the global end-use disutility. Local frequency measurement enables loads to make decentralized decisions on their power from the estimates of total demand-supply mismatch. To resolve the errors in such estimates caused by stochastic frequency measurement errors, loads communicate via a neighborhood area network. Case studies show that the proposed load control can balance demand with supply and restore the frequency at the timescale faster than AGC, even when the loads use a highly simplified system model in their algorithms. Moreover, we discuss the tradeoff between communication and performance, and show with experiments that a moderate amount of communication significantly improves the performance.

Item Type:Report or Paper (Technical Report)
Zhao, Changhong0000-0003-0539-8591
Low, Steven H.0000-0001-6476-3048
Additional Information:This work is supported by NSF NetSE grants CNS 0911041, Southern California Edison (SCE), Okawa Foundation, Boeing Corporation, and Cisco
Group:Control and Dynamical Systems Technical Reports
Funding AgencyGrant Number
Southern California EdisonUNSPECIFIED
Okawa FoundationUNSPECIFIED
Boeing CorporationUNSPECIFIED
Subject Keywords:Power system control, communication, load control, distributed control, optimization
Other Numbering System:
Other Numbering System NameOther Numbering System ID
Control and Dynamical Systems Technical Report2011.010
Record Number:CaltechCDSTR:2011.010
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28261
Deposited By: Changhong Zhao
Deposited On:06 Dec 2011 21:13
Last Modified:03 Oct 2019 03:30

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