Advanced Techniques for Power Quality Improvement
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 26759
Special Issue Editor
Interests: electrical variation and event identification; artificial neural network applications; signal processing for power quality improvement; energy efficiency; smart metering; signal analysis; support vector machines (SVM); electrical energy storage, battery management systems
Special Issue Information
Power quality has a major impact on global economic activities. Problems related to power quality are currently responsible for generating serious damages in terms of operating losses, compromised personal safety, additional production costs, etc. Efficient energy management depends directly on a good knowledge of the disturbances affecting the power quality. Recent research works have investigated and improved power quality by developing advanced identification and control methods. Improving the quality of the power involves intelligent control laws based on signal processing, artificial neural networks, fuzzy logic, model predictive control, linear–quadratic–Gaussian control, etc.
Applying advanced techniques to improve power quality in real-time applications is a challenging problem, and this Special Issue proposes to explore the latest advances.
Topics of interest include, but are not limited to:
- Power quality improvement using fuzzy logic and artificial neural networks
- Harmonics identification and frequency tracking with signal processing
- Control of active power filter (APF)
- Power factor correction
- Improving the performance of AC power systems in terms of reactive power management and transient stability
- Flexible alternating current transmission system (FACTS) for power transmission systems
- Advanced methods for fault detection and classification in power transmission lines
- Advanced methods for detection and classification of appliances and power quality monitoring
Prof. Dr. Djaffar Ould Abdeslam
Guest Editor
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Keywords
- Power quality
- Power factor
- Harmonics identification
- Active filtering
- Energy monitoring
- Signal processing
- Artificial neural network
- Fuzzy logic
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