Optimization-based primary and secondary control of microgrids
| Autor: | Rolf Findeisen, Amer Mesanovic, Mario Sperl, Moritz Diehl, Ulrich Munz, Armin Nurkanovic, Sebastian Albrecht |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Primary (chemistry) Computer science business.industry 020209 energy Numerical analysis Control (management) Control engineering 02 engineering and technology Automation Computer Science Applications Nonlinear programming Electric power system 020901 industrial engineering & automation Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business |
| Zdroj: | at - Automatisierungstechnik. 68:1044-1058 |
| ISSN: | 2196-677X 0178-2312 |
| DOI: | 10.1515/auto-2020-0088 |
| Popis: | This article discusses how to use optimization-based methods to efficiently operate microgrids with a large share of renewables. We discuss how to apply a frequency-based method to tune the droop parameters in order to stabilize the grid and improve oscillation damping after disturbances. Moreover, we propose a centralized real-time feasible nonlinear model predictive control (NMPC) scheme to achieve efficient frequency and voltage control while considering economic dispatch results. Centralized NMPC for secondary control is a computationaly challenging task. We demonstrate how to reduce the computational burden using the Advanced Step Real-Time Iteration with nonuniform discretization grids. This reduces the computational burden up to 60 % compared to a standard uniform approach, while having only a minor performance loss. All methods are validated on the example of a 9-bus microgrid, which is modeled with a complex differential algebraic equation. |
| Databáze: | OpenAIRE |
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