Special Issue "Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems"

Submission Deadline: 10 September 2020 (closed)
Guest Editors
Prof. Ravi Samikannu, Botswana International University of Science and Technology, Botswana
Dr. S. Albert Alexander, Kongu Engineering College, India
Prof. Abid Yahya, Botswana International University of Science and Technology, Botswana
Dr. Yuvaraja Teekaraman, Gwangju Institute of Science and Technology, South Korea
Dr. R. Rohini, Vivekanandha College of Engineering for Women, India
Dr. Karthikrajan Senthilnathan, Revoltaxe India Private Limited, India


Artificial intelligence techniques can work similar to the human brain for decision making in engineering problems. Greater integration of distributed generation, stability in the grid, reliable power supply, stability between generation and supply are the objectives of the smart grid. The objectives are achieved by Artificial intelligence techniques. The wide range of applications of artificial intelligent technique includes, optimizing source and loads in smart grids, decision making in cyber physical systems, robotics, industry 4.0, optimized decision in cyber security, image and video processing, computer vision for human expressions, speech recognitions, natural learning process, big data solutions, product engineering and other fields.  The artificial technique is a reliable technique it is the major advantage. The artificial intelligent technique is an efficient method solving the classical methods of problem. The artificial technique can give solution to the problem where classical methods fail to solve the problem. The mathematical model is not needed for the artificial techniques.  In recent years the AI techniques produce practical solutions for the smart grid. The efficient use of renewable energy resources is for generation of electricity and support real time demand. AI technologies used to deliver the stable affordable and accessible power to all from renewable sources. The key research with the objective is integrating the economic and social welfare in the design and maintenance of future smart grid systems with the use of artificial techniques. This special issue proposal invites paper from different approaches such as multi agent systems, machine learning, and optimization for the successful implementation of the smart grid and renewable energy systems. 

• Artificial Intelligence for energy system operations
• Artificial Intelligence based performance evaluation for smart cities applications
• Artificial Intelligence in energy markets
• Fuzzy based Energy management and energy efficiency
• Artificial intelligence techniques for renewable energy system and smart grid
• Machine learning in energy economics and finance smart grid
• Energy fraud detection using artificial networks
• Demand side management using artificial techniques
• Hybrid energy system optimization using artificial techniques
• Artificial Intelligence based network security management
• Machine learning for power dispatch
• Artificial Intelligence based fault identification in smart grid
• Applications of Artificial Intelligence for Grid Management
• Applications of Artificial Intelligence for Grid Control
• Electric Vehicles in the Smart Grid Using Artificial Intelligence
• Optimization and Control for Electric Smart Grids with intelligent systems
• Privacy and security issues in Artificial Intelligence applications in smart grids
• Artificial Intelligence Based communication networks for smart grids and smart metering
• Artificial Intelligence techniques for smart grid and various industries based on the IoT
• Smart grid Cyber security
• Cyber Security information and control using intelligent techniques
• Secure renewable energy penetrations using artificial techniques
• Artificial Intelligence in smart metering
• Deep learning algorithms for smart grids
• Simulation and performance of machine learning algorithms
• Soft computing methods for grid connected PV systems

Published Papers
  • Self-Regulated Single-phase Induction Generator for Variable Speed Stand-alone WECS
  • Abstract This paper introduces voltage self-regulation of a variable speed single-phase induction generator-based wind energy conversion system (WECS) for stand-alone applications. The idea behind the voltage self-regulation technique proposed in this paper is adjusting the fixed capacitor’s effective value for exciting the single-phase induction generator. This adjustment is performed using an inexpensive Sinusoidal PWM (SPWM) switching circuit to short circuit the capacitor during different periods to make a virtual change of the capacitance value extracted from the fixed capacitor. That optimized fixed capacitor size is firstly determined using harmony search (HS) optimization technique. HS is also used to determine the capacitance… More
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  • Earth Fault Management for Smart Grids Interconnecting Sustainable Wind Generation
  • Abstract In this study, the active traveling-wave fault location function is incorporated into the management of earth faults for smart unearthed and compensated distribution networks associated with distributed renewable generation. Unearthed and compensated networks are implemented mainly to attain service continuity, specifically during earth faults. This advantage is valued for service continuity of grid-interconnected renewable resources. However, overcurrent-based fault indicators are not efficient in indicating the fault path in these distribution networks. Accordingly, in this study, the active traveling-wave fault location is complemented using distributed Rogowski coil-based fault passage indicators. Active traveling waves are injected by switching the neutral point of… More
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  • Tampering Detection Approach of Arabic-Text Based on Contents Interrelationship
  • Abstract Text information depends primarily on natural languages processing. Improving the security and usability of text information shared through the public internet has therefore been the most demanding problem facing researchers. In contact and knowledge sharing through the Internet, the authentication of content and the identification of digital content are becoming a key problem. Therefore, in this paper, a fragile approach of zero-watermarking based on natural language processing has been developed for authentication of content and prevention of misuse of Arabic texts distributed over the Internet. According to the proposed approach, watermark embedding, and identification was technically carried out such that… More
  •   Views:242       Downloads:178        Download PDF