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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mengran Xue Hiskens, I.A. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 (Mengran Xue; Hiskens, I.A.) |
| Abstract | Model predictive control (MPC) methods have a well-earned reputation for providing on-line solutions to optimal feedback control problems, particularly for systems with control and parameter constraints. Previous work has shown the value of MPC in designing non-disruptive loadshedding strategies for power systems. The nonlinear, non-smooth dynamics of power systems make direct application of MPC difficult though. Therefore previous load-shedding applications of MPC have made use of an approximate discrete-time linear dynamic model that describes perturbations to the system's nominal behavior over a finite-time horizon. This approximate model is based on trajectory sensitivities. The article pursues several enhancements of such MPC-based loadshedding strategies. Specifically, at each MPC stage, we propose using a two-step optimization process to determine the optimal input sequence. This helps in combating the possibility of growing error in the discrete-time approximation if large input modifications are needed. We also consider the effects of varying voltage constraints over the MPC optimization horizon. The new two-step MPC strategies are used to design load-shedding controls that prevent voltage collapse in a ten-bus benchmarksystem example. |
| Starting Page | 1332 |
| Ending Page | 1337 |
| File Size | 498229 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467345378 |
| e-ISBN | 9781467345392 |
| DOI | 10.1109/Allerton.2012.6483372 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensitivity Power system dynamics Benchmark testing Trajectory Approximation methods Optimization Load flow control |
| Content Type | Text |
| Resource Type | Article |
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