The strong global demand for electric power and the desire to preserve the environment are motivating governments to find a new solution based on clean renewable energy sources (RESs). However, among these energy sources, wind turbines and solar photovoltaic, are efficient, reliable, sustainable and environmentally friendly sources.
In this thesis, many advanced and innovative control strategies have been developed for the integration of renewable energy into the grid and make it safer while automatically managing power flows between different sources and loads. In this context, and to have a better synchronization between the different systems, our research focuses on maximizing the energy produced by wind turbines and photovoltaic solar energy.
Many control techniques for MPPT extraction such as P&O applied to the photovoltaic system and other conventional estimator to estimate the velocity of the wind turbine has been developed in this thesis, recommendations have been made for control such as, Kalman filter estimators and intelligent controllers like ANFIS.
Historically, the problems of faults (AC, DC and Arc) have been studied; the different methods of fault correction are cited in the literature review of this thesis. The contribution of our research is to reduce the impact of faults by modelling the converters according to the application cases and using the artificial intelligence controls.
The SRF control algorithm developed based on PI-anti-Windup is a contribution applied to the VSC inverter connected to the network, which improves the active power (P), reactive (Q) generated by the hybrid system and regulates the AC grid voltage, in addition to a fast DC bus voltage regulation, and minimizes total harmonic distortion (THD).
Another contribution is the SMC with Lyapunov method applied to the VSC-HVDC offshore wind farm ensuring efficiency and robustness of the no-linear system studied in severe conditions with the instability with a very low sensitivity to sudden variation.
A new protection approach based on the DC chopper has been introduced in the NPC VSCHVDC offshore transmission. In addition, the protection control action of DC chopper extinguishes the fault current to restore the power transmission after the fault has been cleared, improving network reliability, power quality, safety and makes it stable.
The artificial intelligent control (Adaline) based on (the ANFIS and unified algorithm) was introduced in small and large systems. This control has several contributions:
The optimal design of the ANFIS controller providing fast-dynamic response during a sudden change in solar irradiation, resulting in a non-oscillating MPPT;
The Adaline Algorithm is used to estimate the current of the source to ensure the power flow and makes it stable with an improved power quality at the PCC. For this approach, the loop (PLL) is not used, which minimizes the risk of loss of control during voltage disruption;
ANFIS-based Adaline algorithm has successfully regulated DC bus voltage, AC voltage and source currents. The ANFIS controller enables to detect the fault and regulate the output signals with a fast-dynamic response and without any saturation during the transitions;
With ANFIS, the DC-DC boost converter is more efficient, even with low solar irradiation.
Finally, our study considers a new intelligent control applied to small and large- scale microgrids incorporating photovoltaic generators, synchronous and asynchronous wind turbines and linear and no-linear loads. This thesis provides both theoretical and practical contributions on renewable energy connected to the grid.
| Date | 27 Jun 2019 |
|---|
| Original language | French |
|---|
| Awarding Institution | - École de technologie supérieure
|
|---|
| Supervisor | Ambrish Chandra (Supervisor) |
|---|
Benhalima, S. (Author),
Chandra (Supervisor),
27 Jun 2019Student thesis: Doctoral thesis › Doctorate in Engineering: Engineering