Abstract
This paper provides a control strategy for battery energy storage system (BESS) in suppressing the photovoltaic (PV) output fluctuation so that the smoothed power delivered to the grid satisfies the maximum ramp requirement of the system. As one of robust control solutions, model predictive control (MPC) is proposed so the control actions of battery charging and discharging can be planned by considering some constraints such as battery power and state of charge (SoC) limitations. Moving average filter (MAF) is used to generate the output reference for the combined system of PV and BESS where the time window is selected by considering the maximum ramp provided to the system. The simulation results show that the proposed control strategy is able to track the prescribed reference effectively so the smoothing strategy meets the fluctuations limit while satisfying the battery constraints.
| Original language | English |
|---|---|
| Pages (from-to) | 202-209 |
| Number of pages | 8 |
| Journal | International Journal of Fuzzy Logic and Intelligent Systems |
| Volume | 17 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery energy storage systems (BESS)
- Fluctuation suppression
- Model predictive control (MPC)
- Moving average filter (MAF)
- Photovoltaic (PV) systems
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