Structurally Constrained $\ell_{1}$ -Sparse Control of Power Systems: Online Design and Resiliency Analysis
advances in computing and communications(2018)
摘要
This paper presents a sparse Linear Quadratic Regulator (LQR) design for damping oscillations in wide-area power system networks. We first show how, depending on the severity and location of a fault, different sets of generators can have different contributions to the inter-area oscillation modes. This information is used to construct the communication topology for feedback control. An additional layer of sparsity is imposed on top of this communication structure by posing an $ell_{1}$ -sparsification of the generator states that are transmitted through each communication link. An algorithm is provided where the designed sparse controller is also used to enhance the resiliency of the closed-loop system against denial-of-service (DoS) attacks. Results are validated using simulations on the IEEE 39-bus New England power system model.
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关键词
Optimal control, power systems, sparsity-promoting control, denial-of-service attacks
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