TY - GEN
T1 - Design and Stability of Optimal Frequency Control in Power Networks
T2 - 16th European Control Conference, ECC 2018
AU - Tsumura, Koji
AU - Baros, Stefanos
AU - Okano, Kunihisa
AU - Annaswamy, Anuradha M.
N1 - Funding Information:
Koji Tsumura is with the Department of Information Physics and Computing, University of Tokyo, Tokyo, Japan e-mail: tsumura@i.u-tokyo.ac.jp, CREST Stefanos Baros and Anuradha M. Annaswamy are with the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA e-mail: sbaros, aanna@mit.edu Kunihisa Okano is with the Department of Intelligent Mechanical Systems, Okayama University, Okayama, Japan e-mail: kokano@okayama-u.ac.jp, CREST This work was supported by the NSF initiative, Award no. EFRI-1441301.
Funding Information:
This work was supported by the NSF initiative, Award no. EFRI-1441301.
Publisher Copyright:
© 2018 European Control Association (EUCA).
PY - 2018/11/27
Y1 - 2018/11/27
N2 - Renewable energy generators give rise to large and frequent supply-demand power imbalances in modern power systems. In this volatile environment, secondary frequency control (SFC) is becoming a critical functionality of real-time operations and should be now carried out with higher economic efficiency. Motivated by that, in this paper we design an optimal frequency control (OFC) architecture that can be adopted in lieu of the current Automatic Generation Control (AGC) scheme enabling generators and demand response (DR) units to jointly carry out optimal frequency regulation with minimum generation cost and user disutility. The OFC algorithm can improve the economic efficiency of the secondary control layer by allowing the secondary control set-points to converge online to their optimal values. Interestingly, we show that the overall system composed of the physical network and OFC algorithm dynamics is passive. By leveraging this passivity property we establish global asymptotic stability of the equilibrium of the overall system. Our passivity-based methodology is scalable and computationally efficient and can be used to establish guarantees for the performance of a power network that adopts the proposed OFC algorithm particularly attractive for large- scale applications.
AB - Renewable energy generators give rise to large and frequent supply-demand power imbalances in modern power systems. In this volatile environment, secondary frequency control (SFC) is becoming a critical functionality of real-time operations and should be now carried out with higher economic efficiency. Motivated by that, in this paper we design an optimal frequency control (OFC) architecture that can be adopted in lieu of the current Automatic Generation Control (AGC) scheme enabling generators and demand response (DR) units to jointly carry out optimal frequency regulation with minimum generation cost and user disutility. The OFC algorithm can improve the economic efficiency of the secondary control layer by allowing the secondary control set-points to converge online to their optimal values. Interestingly, we show that the overall system composed of the physical network and OFC algorithm dynamics is passive. By leveraging this passivity property we establish global asymptotic stability of the equilibrium of the overall system. Our passivity-based methodology is scalable and computationally efficient and can be used to establish guarantees for the performance of a power network that adopts the proposed OFC algorithm particularly attractive for large- scale applications.
UR - http://www.scopus.com/inward/record.url?scp=85058442572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058442572&partnerID=8YFLogxK
U2 - 10.23919/ECC.2018.8550308
DO - 10.23919/ECC.2018.8550308
M3 - Conference contribution
AN - SCOPUS:85058442572
T3 - 2018 European Control Conference, ECC 2018
SP - 2581
EP - 2586
BT - 2018 European Control Conference, ECC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 June 2018 through 15 June 2018
ER -
