Power Quality Improvement Techniques in Renewable Energy Integrated Microgrid Systems
1Kongu Engineering College, Erode, India
2Prince Sultan University, Riyadh, Saudi Arabia
3Botswana International University of Science and Technology, Palapye, Botswana
Power Quality Improvement Techniques in Renewable Energy Integrated Microgrid Systems
Description
Since the invention of electrical power, power quality has been a consistent problem, which has increased in significant years due to the increased number of electrical appliances. The electric current that customer appliances draw from the supply network flows through the impedance of the supply system and causes a drop in voltage, affecting the voltage delivered to the customer. Therefore, both the voltage quality and the current quality are important.
The power distribution supplier is responsible for the voltage quality and the customer is accountable for the quality of electric current that they draw from the utility. The electromagnetic phenomena that affect the power quality of power systems are categorized into transients, short duration variations, long duration variations, and waveform distortions. Waveform distortion is defined as the steady state deviation from an ideal sine wave of power frequency, principally characterized by the spectral content of the deviation. At present, the main area of research in both industry and academia is the grid interaction of renewable energy systems with improved performance parameters. Therefore, a deep knowledge on the application of artificial intelligence and optimization methods is vital for achieving improvements in availability, reliability, power quality, voltage synchronizing ability, and fault tolerant facility in the complete energy conversion process.
This Special Issue invites authors to contribute research articles focusing on artificial intelligence technologies for improving performance in microgrid environments. We aim to gather research that contributes to the improvement of power quality in microgrids in terms of topologies, converter configurations, algorithm development, and experimental implementations. We welcome both original research and review articles.
Potential topics include but are not limited to the following:
- Power quality improvement techniques
- Intelligent controller design and development
- Multilevel inverters and their control
- Grid synchronization methods
- Maximum power point tracking (MPPT) techniques
- Selective harmonic elimination
- Microgrid architectures and case studies
- Modular converter designs
- Matrix converters
- Phasor measurement tools
- Internet of Things based monitoring
- Fault tolerant systems
- Optimization algorithms