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Sparse and Optimal Wide-Area Damping Control in Power Networks


F. Dörfler, M.R. Jovanovic, M. Chertkov, F. Bullo

American Control Conference, Washington, DC, USA, pp. 4295-4300

Inter-area oscillations in power networks are typically poorly controllable by means of local decentralized control. Recent research efforts have been aimed at developing wide-area control strategies that involve communication of remote signals. In conventional wide-area control strategies the control structure is fixed a priori typically based on modal criteria. In contrast, here we employ the recently introduced paradigm of sparsity-promoting optimal control to simultaneously identify the control structure and optimize the closedloop performance. To induce a sparse control architecture, we regularize the standard quadratic performance index with an `1-penalty on the feedback matrix. The quadratic objective functions are inspired by the classic slow coherency theory and are aimed at imitating homogeneous networks without interarea oscillations. We use a compelling example to demonstrate that the proposed combination of the sparsity-promoting optimal control design with the slow coherency objective functions performs almost as well as the optimal centralized controllers.


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% Autogenerated BibTeX entry
@InProceedings { D_rEtal:2013:IFA_4907,
    author={F. D{\"o}rfler and M.R. Jovanovic and M. Chertkov and F. Bullo},
    title={{Sparse and Optimal Wide-Area Damping Control in Power
    booktitle={American Control Conference},
    address={Washington, DC, USA},
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