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arXiv · 2107.02719

Saturation-Aware Model Predictive Energy Management for Droop-Controlled Islanded Microgrids

Steffen Hofmann·Ajay Sampathirao·Christian A. Hans·Jörg Raisch·Alexander Heidt·Erich Bosch
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Abstract

In this paper, we propose a minimax model predictive control (MPC)-based energy management system that is robust with respect to uncertainties in renewable infeed and load. The MPC formulation includes a model of low-level droop control with saturation at the power and energy limits of the units. Robust MPC-based energy management systems tend to under-utilize the renewable energy sources to guarantee safe operation. In order to mitigate this effect, we further consider droop control of renewable energy sources. For a microgrid with droop-controlled units, we show that enhancing droop feedback with saturation enlarges the space of feasible control actions. However, the resulting controller requires to solve a mixed-integer problem with additional variables and equations representing saturation. We derive a computationally tractable formulation for this problem. Furthermore, we investigate the performance gained by using droop with saturation, renewable droop and combination of both in a case study.

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Steffen Hofmann, Ajay Sampathirao, Christian A. Hans, Jörg Raisch, Alexander Heidt, Erich Bosch. 2021-07-06. Saturation-Aware Model Predictive Energy Management for Droop-Controlled Islanded Microgrids. https://arxiv.org/abs/2107.02719

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