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Distributed Economic Model Predictive Control for Achieving Real-time Economic Dispatch with Frequency Control in Power Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Köhler, Johannes Müller, Matthias Albrecht Allgöwer, Frank |
| Copyright Year | 2019 |
| Abstract | The growing penetration of renewable and distributed energy resources introduces more and faster fluctuations into power systems. This poses a challenge for the existing system control to both satisfy system operation constraints and maintain an economic performance, especially during the transient operation. To overcome this, we consider Economic Model Predictive Control (EMPC), which is a dynamic optimization algorithm. To ease the computational burden of solving the optimization problem, the proposed controller is based on an inexact solution to an economic dynamic optimal control problem, which is obtained by reducing distributed dual iterations. This allows for a fully distributed implementation with only neighbor to neighbor communications. The theoretical properties of this controller include transient economic performance, transient constraint satisfaction and stability. The method also takes into account of many practical issues such as partial observations, model mismatches, and inexact predictions. We include a numerical study comparing this approach to a state of the art solution and show faster frequency stabilization and constraint satisfaction. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://nali.seas.harvard.edu/files/nali/files/2019mpcpower.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
