Energy storage system modelling and simulation for power system ancillary service
The rapid advancement of renewable energy and the restructuring of energy frameworks have led to the widespread adoption of photovoltaic power generation as a representative of clean energy. However, the inherent instability and intermittency of photovoltaic power generation systems present challeng...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175710 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The rapid advancement of renewable energy and the restructuring of energy frameworks have led to the widespread adoption of photovoltaic power generation as a representative of clean energy. However, the inherent instability and intermittency of photovoltaic power generation systems present challenges to the stability of the power grid. To address this issue, hybrid energy storage systems and virtual synchronous generators have emerged. These technologies combine various energy storage techniques and control algorithms to achieve smooth energy output and flexible scheduling, thereby enhancing system reliability and efficiency.
In this dissertation, the perturb and observe algorithm is employed on the photovoltaic side for maximum power point tracking, while the hybrid energy storage side consists of supercapacitors and batteries. The supercapacitors are controlled by constant bus voltage, whereas the batteries are controlled by constant power. The inverter is controlled by a virtual synchronous generator algorithm, enhancing system inertia and damping to improve stability. After establishing the models in MATLAB/SIMULINK, simulations are conducted under various operating conditions to demonstrate the stability enhancement brought about by hybrid energy storage and virtual synchronous generators. |
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