ISLANDING DETECTION ON GRID-CONNECTED PV SYSTEM
In the integration of a photovoltaic (PV) system with the power grid, reliable islanding detection mechanisms are crucial for safety. Islanding occurs when a PV system continues to generate power in an isolated state after unintentional disconnection from the grid. Detecting and disconnecting the PV...
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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/43154/1/Clairedora%20Jezreel%2024pgs.pdf http://ir.unimas.my/id/eprint/43154/2/Clairedora%20Jezreel%20ft.pdf http://ir.unimas.my/id/eprint/43154/ |
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| Summary: | In the integration of a photovoltaic (PV) system with the power grid, reliable islanding detection mechanisms are crucial for safety. Islanding occurs when a PV system continues to generate power in an isolated state after unintentional disconnection from the grid. Detecting and disconnecting the PV system during islanding events protects employees and equipment. This study evaluates two islanding detection approaches: active and passive. Both methods aim to quickly and accurately identify islanding events, ensuring system and grid stability. In the active approach, faults is created into the system, and the PV system's response is analysed to determine if it is operating in an islanded state. The passive approach focuses on controlling the irradiance parameters to see the deviations of the parameters during islanding, as distinct deviations occur compared to gridconnected operation. The study employs the droop control approach, which adjusts the PV system's power output to maintain voltage and frequency within the IEEE 1547
standard during islanding. When disconnected from the grid, the droop control approach modifies parameters, such as adjusting the PV array's irradiance, to ensure stability. The study utilizes MATLAB/Simulink to simulate and compare the performance and reliability of active and passive islanding detection methods. The aim is to demonstrate the effectiveness of both approaches in promptly identifying islanding events, thereby safeguarding the PV system and the grid. |
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