Abstract
Power generation from renewable energy sources, such as photovoltaic (PV) systems, is subject to fluctuations over time, which can negatively affect power quality, transient stability, and reliability. A Hybrid Energy Storage System (HESS) combining technologies with both high power density and high energy density, such as batteries and supercapacitors (SC), can mitigate the power fluctuations. The use of a constant Lowpass Filter (LPF) to manage the HESS performance has both advantages and disadvantages. Typically, the LPF value should divide the roles of the storage components equally, accounting for both controller response and State of Charge (SoC). In this study, a novel control scheme, termed adaptive LPF, which aims to enhance controller performance by dynamically adjusting to changing conditions, is proposed. The adaptive LPF value has been determined based on deviations from the initial LPF setting and the compensation current. Simulation results by using MATLAB-Simulink have indicated that the adaptive LPF-based controller scheme improved voltage recovery by 10.70-17.34%, compared with systems using only a constant LPF.
| Original language | English |
|---|---|
| Pages (from-to) | 64-74 |
| Number of pages | 11 |
| Journal | International Review on Modelling and Simulations |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Adaptive LPF
- Battery
- Energy Management System
- Energy Storage System
- Renewable Energy
- Response Controller
- Supercapacitor
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