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

Submission Deadline: 10 September 2020 (closed) View: 123

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

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Summary

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. 

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Keywords

• 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

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Published Papers

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• Open Access

  ARTICLE

  Model Predictive Control of H7 Transformerless Inverter Powered by PV

  Ibrahim Atawi, Sherif Zaid

  Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 449-469, 2022, DOI:10.32604/iasc.2022.019959
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  Abstract Transformerless inverters have become an important integration of the modern photovoltaic (PV) grid-tied systems. Unfortunately, it has a general safety problem regarding the earth leakage current that must be less than the recommended standards. Lately, the H7 transformerless inverter, which is a three-phase inverter with an additional switch on the DC side, is introduced to mitigate the earth leakage current. Different modulation techniques and controllers are proposed to optimize its performance. This paper proposed the application of model predictive control (MPC) to grid-connected H7 transformerless inverter supplied by the PV power system. In modeling the… More >

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  2020

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• Open Access

  ARTICLE

  Fault Detection Algorithms for Achieving Service Continuity in Photovoltaic Farms

  Sherif S. M. Ghoneim, Amr E. Rashed, Nagy I. Elkalashy

  Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 467-479, 2021, DOI:10.32604/iasc.2021.016681
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  Abstract This study uses several artificial intelligence approaches to detect and estimate electrical faults in photovoltaic (PV) farms. The fault detection approaches of random forest, logistic regression, naive Bayes, AdaBoost, and CN2 rule induction were selected from a total of 12 techniques because they produced better decisions for fault detection. The proposed techniques were designed using distributed PV current measurements, plant current, plant voltage, and power. Temperature, radiation, and fault resistance were treated randomly. The proposed classification model was created using the Orange platform. A classification tree was visualized, consisting of seven nodes and four leaves,… More >

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  2384

• Open Access

  ARTICLE

  Improving the Power Quality of Smart Microgrid Based Solar Photovoltaic Systems

  Emad H. El-Zohri, Hegazy Rezk, Basem Alamri, Hamdy A. Ziedan

  Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 201-213, 2021, DOI:10.32604/iasc.2021.018700
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  Abstract Microgrids are hybrid power systems that consist of several distributed generation resources and local loads that can supply electrical power to remote or specific areas. The integration of microgrids with the utility network is one of the most recent technologies developed in countries like Egypt. One area of study is how the integration of smart microgrids and utility systems can be used to solve power quality problems such as voltage sags, increased use of distributed generators, deep energy, and power loss. This paper is aimed at investigating a possible solution to some common and dangerous… More >

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• Open Access

  ARTICLE

  An Efficient Utilization of Blackboard Ally in Higher Education Institution

  Ahmad Almufarreh, Muhammad Arshad, Sameer Hassan Mohammed

  Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 73-87, 2021, DOI:10.32604/iasc.2021.017803
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  Abstract Without the constraints of time and place, e-learning can offer a strong learning environment. The notion of e-learning has taken on a new sense with the advent and popularization of mobile devices and ubiquitous computing, enabling students to have access to several diverse opportunities for communicating with e-learning programs. Around the same time, it has prompted the course’s planners to select the most suitable technology from among the various innovations required for the storing and dissemination of information representation. As a Learning Management System (LMS), the Blackboard system now has a recognized role in the… More >

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  1684

• Open Access

  ARTICLE

  Self-Regulated Single-phase Induction Generator for Variable Speed Stand-alone WECS

  Mohamed I. Mossad, Fahd A. banakhr, Sherif S. M. Ghoneim, Tarek A. AbdulFattah, Mohamed Mahmoud Samy

  Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 715-727, 2021, DOI:10.32604/iasc.2021.017534
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  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 More >

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• Open Access

  ARTICLE

  Effect of Load on Transient Performance of Unearthed and Compensated Distribution Networks

  Nehmdoh A. Sabiha, Hend I. Alkhammash

  Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 769-784, 2021, DOI:10.32604/iasc.2021.016752
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  Abstract The maximum temperature that cable insulation can withstand determines the maximum load that the cable conductor can carry, which is called cable ampacity. However, a temperature far from this value under normal load conditions affects the transients due to earth faults in the distribution network. Accordingly, error estimation in the fault location occurs, and the smart grids do not accept such errors. Considering heterogenous unearthed and compensated distribution networks, the temperature rise in different underground cables is estimated under different load conditions. These loads are full load, three quarters (3/4) load, one half (1/2) load,… More >

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• Open Access

  ARTICLE

  Earth Fault Management for Smart Grids Interconnecting Sustainable Wind Generation

  Nagy I. Elkalashy, Sattam Al Otaibi, Salah K. Elsayed, Yasser Ahmed, Essam Hendawi, Ayman Hoballah

  Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 477-491, 2021, DOI:10.32604/iasc.2021.016558
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  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… More >

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• Open Access

  ARTICLE

  Tampering Detection Approach of Arabic-Text Based on Contents Interrelationship

  Fahd N. Al-Wesabi, Abdelzahir Abdelmaboud, Adnan A. Zain, Mohammed M. Almazah, Ammar Zahary

  Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 483-498, 2021, DOI:10.32604/iasc.2021.014322
  （This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
  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… More >

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