A Caltech Library Service

Distributed optimization decomposition for joint economic dispatch and frequency regulation

Cai, Desmond and Mallada, Enrique and Wierman, Adam (2017) Distributed optimization decomposition for joint economic dispatch and frequency regulation. IEEE Transactions on Power Systems, 32 (6). pp. 4370-4385. ISSN 0885-8950. doi:10.1109/TPWRS.2017.2682235.

[img] PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


Economic dispatch and frequency regulation are typically viewed as fundamentally different problems in power systems and, hence, are typically studied separately. In this paper, we frame and study a joint problem that co-optimizes both slow timescale economic dispatch resources and fast timescale frequency regulation resources. We show how the joint problem can be decomposed without loss of optimality into slow and fast timescale sub-problems that have appealing interpretations as the economic dispatch and frequency regulation problems respectively. We solve the fast timescale sub-problem using a distributed frequency control algorithm that preserves network stability during transients. We solve the slow timescale subproblem using an efficient market mechanism that coordinates with the fast timescale sub-problem. We investigate the performance of our approach on the IEEE 24-bus reliability test system.

Item Type:Article
Related URLs:
URLURL TypeDescription ItemConference Paper ItemConference Paper Paper
Cai, Desmond0000-0001-9207-1890
Mallada, Enrique0000-0003-1568-1833
Additional Information:© 2017 IEEE. Manuscript received May 6, 2016; revised September 28, 2016 and January 25, 2017; accepted February 25, 2017. Date of publication March 14, 2017; date of current version October 18, 2017. This work was supported in part by ARPA-E Grant DE-AR0000226, in part by Los Alamos National Lab through an DoE Grant DE-AC52-06NA25396, in part by DTRA through Grant HDTRA 1-15-1-0003, in part by Skoltech, in part by NSF Grant 1545096 as a part of the NSF/DHS/DOT/NASA/NIH Cyber-Physical Systems Program, in part by NSF Grant NETS-1518941, in part by NSF Grant EPAS-1307794, in part by NSF CPS Grant CNS 1544771, in part by Johns Hopkins E2SHI Seed Grant, and in part by Johns Hopkins WSE startup funds. A preliminary and abridged version of this paper was presented at the 54th IEEE Conference on Decision and Control, Osaka, Japan, December 2015 [1]. Paper no. TPWRS-00700-2016. The authors would like to thank Ben Hobbs from Johns Hopkins and Steven H. Low from Caltech for insightful discussions.
Funding AgencyGrant Number
Department of Energy (DOE) ARPA-EDE-AR0000226
Department of Energy (DOE)DE-AC52-06NA25396
Defense Threat Reduction Agency (DTRA)HDTRA 1-15-1-0003
Johns Hopkins UniversityUNSPECIFIED
Subject Keywords:Economic dispatch, frequency regulation, optimization decomposition, markets
Issue or Number:6
Record Number:CaltechAUTHORS:20170315-153413222
Persistent URL:
Official Citation:D. Cai, E. Mallada and A. Wierman, "Distributed Optimization Decomposition for Joint Economic Dispatch and Frequency Regulation," in IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4370-4385, Nov. 2017. doi: 10.1109/TPWRS.2017.2682235. URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75159
Deposited By: Kristin Buxton
Deposited On:16 Mar 2017 16:49
Last Modified:15 Nov 2021 16:31

Repository Staff Only: item control page