Design of Switching Damping Controllers for Power Systems Based on a Markov Jump Parameter System Approach

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Conference Proceeding
45th IEEE Conference on Decision and Control, 2006. CDC 2006, 2006, pp. 4014 - 4019
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The application of a new technique, based on the theory of Markov jump parameter systems (MJPS), to the problem of designing controllers to damp power system oscillations is presented in this paper. This problem is very difficult to address, mainly because these controllers are required to have an output feedback decentralized structure. The technique relies on the statistical knowledge about the system operating conditions to provide less conservative controllers than other modern robust control approaches. The influence of the system interconnections over its modes of oscillation is reduced by means of a proper control design formulation involving integral quadratic constraints. The discrete nature of some typical events in power systems (such as line tripping or load switching) is adequately modeled by the MJPS approach, therefore allowing the controller to withstand such abrupt changes in the operating conditions of the system, as shown in the results.
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