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Swing Dynamics as Primal-Dual Algorithm for Optimal Load Control

Zhao, Changhong and Topcu, Ufuk and Low, Steven H. (2012) Swing Dynamics as Primal-Dual Algorithm for Optimal Load Control. , Pasadena, CA. (Unpublished) http://resolver.caltech.edu/CaltechCDSTR:2012.001

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Abstract

Frequency regulation and generation-load balancing are key issues in power transmission networks. Complementary to generation control, loads provide flexible and fast responsive sources for frequency regulation, and local frequency measurement capability of loads offers the opportunity of decentralized control. In this paper, we propose an optimal load control problem, which balances the load reduction (or increase) with the generation shortfall (or surplus), resynchronizes the bus frequencies, and minimizes a measure of aggregate disutility of participation in such a load control. We find that, a frequency-based load control coupled with the dynamics of swing equations and branch power flows serve as a distributed primal-dual algorithm to solve the optimal load control problem and its dual. Simulation shows that the proposed mechanism can restore frequency, balance load with generation and achieve the optimum of the load control problem within several seconds after a disturbance in generation. Through simulation, we also compare the performance of optimal load control with automatic generation control (AGC), and discuss the effect of their incorporation.


Item Type:Report or Paper (Technical Report)
Additional Information:This is a technical report supporting the paper with the same name published in the Proceedings of IEEE SmartGridComm, Tainan City, Taiwan, November 2012.
Group:Control and Dynamical Systems Technical Reports
Record Number:CaltechCDSTR:2012.001
Persistent URL:http://resolver.caltech.edu/CaltechCDSTR:2012.001
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:33714
Collection:CaltechCDSTR
Deposited By: Changhong Zhao
Deposited On:30 Aug 2012 23:45
Last Modified:26 Dec 2012 16:05

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