Abstract
The output of photovoltaic power stations is affected by weather and environment, and is intermittent and volatile. When connected to the grid on a large scale, its own dynamic performance will affect the power grid and bring challenges to the stable operation of the power grid. In this regard, this paper proposes a coordinated control strategy based on the sliding mode algorithm and studies the dynamic performance of the photovoltaic power station itself. First, a transient model of the photovoltaic power station is established. Based on this model, a coordinated control strategy for the photovoltaic power station based on the sliding mode algorithm is designed, and simulation comparison and analysis are carried out in combination with the MATLAB/Simulink platform. The experimental results show that the coordinated control of photovoltaic power stations based on the sliding mode algorithm can better stabilize the DC bus voltage than the traditional algorithm, and has higher robustness and lower oscillation.
| Original language | English |
|---|---|
| Title of host publication | 2024 4th International Conference on Energy Engineering and Power Systems, EEPS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 330-334 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350366914 |
| DOIs | |
| State | Published - 2024 |
| Event | 4th International Conference on Energy Engineering and Power Systems, EEPS 2024 - Hangzhou, China Duration: 9 Aug 2024 → 11 Aug 2024 |
Publication series
| Name | 2024 4th International Conference on Energy Engineering and Power Systems, EEPS 2024 |
|---|
Conference
| Conference | 4th International Conference on Energy Engineering and Power Systems, EEPS 2024 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 9/08/24 → 11/08/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- photovoltaic power plant
- sliding mode control
- transient model
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