TY - GEN
T1 - Distributed Robust Population Games with Applications to Optimal Frequency Control in Power Systems
AU - Barreiro-Gomez, Julian
AU - Dorfler, Florian
AU - Tembine, Hamidou
N1 - Funding Information:
J. Barreiro-Gomez and H. Tembine are with Learning & Game Theory Laboratory, New York University Abu Dhabi (NYUAD), Saadiyat Campus PO Box 129188, United Arab Emirates (e-mails: [email protected], [email protected]). This research work is supported by U.S. Air Force Office of Scientific Research under grant number FA9550-17-1-0259.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - We propose a distributed algorithm based on population games as a continuous-time feedback controller for the power systems frequency regulation and its economic efficiency. The population-games approach is constructed by incorporating individual carrying capacities in the revision protocol and by considering a reproduction rate within the context of density games. Moreover, it is shown that the resulting robust Smith dynamics with carrying capacities (RSDCC) can be performed as a distributed continuous-time controller in power systems. Finally, the distributed algorithm is implemented in the IEEE New England 39-bus test power system in order to show its nerformance by means of simulation results.
AB - We propose a distributed algorithm based on population games as a continuous-time feedback controller for the power systems frequency regulation and its economic efficiency. The population-games approach is constructed by incorporating individual carrying capacities in the revision protocol and by considering a reproduction rate within the context of density games. Moreover, it is shown that the resulting robust Smith dynamics with carrying capacities (RSDCC) can be performed as a distributed continuous-time controller in power systems. Finally, the distributed algorithm is implemented in the IEEE New England 39-bus test power system in order to show its nerformance by means of simulation results.
KW - Distributed population games
KW - distributed control
KW - frequency control
KW - power systems
UR - http://www.scopus.com/inward/record.url?scp=85052589873&partnerID=8YFLogxK
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U2 - 10.23919/ACC.2018.8431894
DO - 10.23919/ACC.2018.8431894
M3 - Conference contribution
AN - SCOPUS:85052589873
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 5762
EP - 5767
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -