Enhancing PV System Stability in the Angolan Power Network through Modeling and Simulation of Fuzzy Logic Controllers.
Abstract
The power transmission network is responsible for transporting the electrical energy from generating plants to different substations. Electrical energy has become extremely important in this current world. Companies, churches, schools, and households need more electricity to satisfy their daily needs. This increase in demand causes several challenges to the power transmission networks in Angola such as power outages. The output power for renewable energy such as wind and solar energy systems depends on many factors such as solar irradiance, temperature, wind speed, geographical location, air density, swept area, wind turbine configurations, and many other factors. These factors are responsible for the inconsistency and variability of the wind and solar energy systems. Therefore, it is important to develop an efficient controller that can operate in different systems such as solar and wind energy systems to maintain a stable power and continuous flow of electricity. Various controllers can be used for the renewable energy system such as Unified power flow controller, Unified Interphase Power Controller, Thyristor Controlled-Interphase Power Controller, or Interphase Power Controller but in this research, the Fuzzy Logic Controllers based Maximum power point tracking (MPPT) was used to obtain a stable output power and also to mitigate the faults in the system. The proposed Fuzzy Logic Controller was introduced into a PV system which was integrated into an unstable power network to increase the PV system's performance by enabling the PV grid to generate its maximum power which is 30MW and to maintain the power network stability.
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