A real-time control framework for smart power networks: Design methodology and stability
Demand response is being actively considered as a useful mechanism for balancing supply and demand in the future power network. Relevant research to date has paid little attention to the interaction of this mechanism with the dynamics of the power network, focusing mainly on solving an appropriately...
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| Published in | Automatica (Oxford) Vol. 58; pp. 43 - 50 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
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01.08.2015
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| Abstract | Demand response is being actively considered as a useful mechanism for balancing supply and demand in the future power network. Relevant research to date has paid little attention to the interaction of this mechanism with the dynamics of the power network, focusing mainly on solving an appropriately formulated optimization problem. However, the coupling between the two should not be ignored due to fluctuations resulting from increased distributed energy resources and variability in both supply and demand. In this paper, we present a distributed control architecture that implements real-time economic optimization for the power network under exogenous disturbances. In particular, we consider a transmission level network with tree topology. Motivated by optimization decomposition methods, we first formulate a constrained Optimal Power Flow (OPF) problem and then use a primal–dual decomposition approach to design a dynamic feedback controller. We prove the asymptotic stability of the equilibria of the overall system. Numerical investigations illustrate that the proposed controller balances power flow in the network quickly, and achieves OPF in the steady state, even in the face of disturbances and contingencies. |
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| AbstractList | Demand response is being actively considered as a useful mechanism for balancing supply and demand in the future power network. Relevant research to date has paid little attention to the interaction of this mechanism with the dynamics of the power network, focusing mainly on solving an appropriately formulated optimization problem. However, the coupling between the two should not be ignored due to fluctuations resulting from increased distributed energy resources and variability in both supply and demand. In this paper, we present a distributed control architecture that implements real-time economic optimization for the power network under exogenous disturbances. In particular, we consider a transmission level network with tree topology. Motivated by optimization decomposition methods, we first formulate a constrained Optimal Power Flow (OPF) problem and then use a primal–dual decomposition approach to design a dynamic feedback controller. We prove the asymptotic stability of the equilibria of the overall system. Numerical investigations illustrate that the proposed controller balances power flow in the network quickly, and achieves OPF in the steady state, even in the face of disturbances and contingencies. |
| Author | Zhang, Xuan Papachristodoulou, Antonis |
| Author_xml | – sequence: 1 givenname: Xuan surname: Zhang fullname: Zhang, Xuan email: xuan.zhang@eng.ox.ac.uk – sequence: 2 givenname: Antonis surname: Papachristodoulou fullname: Papachristodoulou, Antonis email: antonis@eng.ox.ac.uk |
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| Cites_doi | 10.1109/ACC.2014.6858966 10.1109/TPAS.1980.319745 10.1109/PESGM.2012.6345272 10.1007/BF00133621 10.1109/59.962415 10.1109/CDC.2011.6161681 10.1109/TPWRS.2012.2195037 10.1073/pnas.1212134110 10.1109/ACC.2013.6580624 10.1109/59.761873 10.1109/ACC.2014.6859060 10.1109/TPAS.1981.316883 10.1109/TPAS.1982.317507 10.1109/PESGM.2012.6344803 |
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| SubjectTerms | Asymptotic stability Distributed control Electric power systems Optimal power flow |
| Title | A real-time control framework for smart power networks: Design methodology and stability |
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