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Optimal control of power quality for microgrids using artificial intelligence

The recent development in small scale power generation is moving the energy sector into a new era of the modern power grid. Modern electric power networks however, have to respond to a number of challenges such as significant growth in load demand and load changes. As a result, many projects in US, Europe and Australia started to develop new technologies that depend on the high exploitation of distributed generation units (DGs).

A microgrid is new concept that depends on high penetration of DGs. The majority of DGs interface to the utility grid or load via dc-ac PWM-VSI system to meet the extension in the load demand in order to maintain the reliability of electric power supply. These interfaces introduce new issues that affect power quality supply such as voltage sag, swell, dip, harmonic distortion, and active and reactive power control.

This research is to design an optimal control strategy to ensure high power quality injecting in an example of microgrid. The control strategy will depend on droop controller, power controller, and current control method. In addition, estimation of interfacing parameters and grid voltage will be based on artificial intelligent algorithm in order to optimise the control loop. Furthermore, system stability will be analysed based on the Lyapunov function to evaluate the control performance. Finally, simulation analysis will be done by using Matlab/Simulink interfacing with DIqSILENT programme to achieve the control objectives for both operation modes; autonomous and grid
connected.


Researchers

Mr Waleed Al-Saedi
Professor Daryoush Habibi

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