期刊
CONTROL ENGINEERING PRACTICE
卷 74, 期 -, 页码 132-143出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2018.03.003
关键词
Distributed control; Wide-area control; Predictive optimization; Oscillation damping; Participation factors
资金
- US National Science Foundation [ECCS 1054394, ECCS 1544871]
- BuildingControls project - European Commission [708984]
- Marie Curie Actions (MSCA) [708984] Funding Source: Marie Curie Actions (MSCA)
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1329780] Funding Source: National Science Foundation
In this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber-physical constraints namely, communication constraints that lead to sparsificadon of the underlying communication network, and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art, distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast, the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another, so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine, 140-bus model for the Northeast Power Coordinating Council.
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