Dynamic Performance Improvement of Wind Energy Conversion System Through Power Quality Enhancement (Case Study: Adama Windfarm I)

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As a worldwide the demand for electricity is growing and the future electric power generation will rely heavily on clean, renewable energy sources such as wind, solar, hydropower, and geothermal. Wind energy conversion systems often use squirrel cage induction, doubly fed induction, and permanent magnet synchronous generators. The main problems with these systems are, in fact, their sporadic power outputs and poor dynamic performances caused by stochastic wind speed. Consequently, devices employing advanced power electronic converters such as static synchronous compensator (STATCOM) are frequently utilized to increase the dynamic performance of a wind energy conversion system, and hence its power quality. In accordance with this, the primary goal of this thesis is to study the impact of combining a STATCOM with a battery energy storage system (BESS) on the dynamic performance of a PMSG-based wind farm as a case study of Adama wind farm-I. In addition, the BESS was built with consideration for energy storage options and to support the real power source in the event of variable wind power. The reactive element of the STATCOM is intended to maintain a constant grid voltage and reactive power. but the active part is controlled by BESS which is intended to compensate for wind power. The proposed system and comprehensive dynamic models of the PMSG-based wind farm were designed and simulated in MATLAB/Simulink. Finally, the simulation results showed that using the STATCOM with BESS considerably improved the overshoots, rising time, and settling time of the DC-link voltage, active power, and reactive power of the wind farm and it is clearly discussed numerically on the result part of this thesis . Furthermore, the findings demonstrated that the negative effects of stochastic wind disturbances on the dynamic performance of a PMSG-based wind farm is reduced. As a result, a STATCOM with BESS has been shown to be effective in improving the dynamic performance of a PMSG-based of Adama wind farm-1 as subjected to stochastic wind disturbances.

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