Special Issue "Advances in Modern Electric Power and Energy Systems"

Submission Deadline: 01 August 2021 (closed)
Guest Editors
Prof. Behnam Mohammadi-Ivatloo, University of Tabriz, Iran.
Prof. Omar H. Abdalla, Helwan University, Egypt.
Dr. Amjad Anvari-Moghaddam, Aalborg University, Denmark.
Dr. Amin Mohammadpour-Shotorbani, The University of British Columbia-Okanagan, Canada.
Dr. Hady H. Fayek, Heliopolis University, Egypt.

Summary

Modern power systems are facing significant structural changes due to the growing penetration of renewable energy sources, and advances in control and information technologies. Nonetheless, improvements in certain technologies have had notable impacts on power system transition such as widespread use of information and communication technologies in power systems operation, continuous increase of renewable energies share in the power generation, integration of renewable sources while maintaining grid’s stability and reliability, and extensive use of artificial intelligence in the power system. These improvements are leading the modern power systems to a new era in a process known as energy transition. The energy transition is considered as a route aiming to convert the global energy sector from centralized power systems and fossil-fuel power plants into sustainable and resilient smart grids.

The special issue topics include but are not limited to

• Grid codes

• Smart grid modeling and architectures

• Renewable energy systems and grid integration

• Electric vehicles role in modern power systems

• Power systems resilience in the face of faults and disasters

• Self-healing schemes for electrical power systems

• Energy auditing and management

• Microgrids management and control

• Islanding in power systems

• Wide-area control and protection of modern power systems

• Integrated community-based energy systems

• Local energy systems

• Multi-stakeholder energy systems

• Multi-carrier and integrated energy systems

• Vector coupling energy storage systems

• Low-carbon technologies in energy systems

• Integration and control of energy storage systems

• Renewable energy hosting capacity

• Demand-side control

• Flexibility services in integrated energy systems

• The market for flexibility services

• IoT in power system applications

• Role of cloud/edge computing technology on energy systems modernization

• Effect of ICT and cybersecurity trends on energy systems of the future

• Big data in power systems

• Water-Energy Nexus


Keywords
Smart grid architecture; Photovoltaics; Wind power; Bioenergy; Energy storage; Power system protection and control; Self-healing; Dispersed generation; Microgrids; Grid reliability and stability; Grid monitoring; Energy transition; Energy markets and electricity trading; Grid codes; Aggregators; Demand response.

Published Papers
  • Quantifying Contribution of DER-Integrated EV Parking Lots to Reliability of Power Distribution Systems
  • Abstract In the future smart cities, parking lots (PLs) can accommodate hundreds of electric vehicles (EVs) at the same time. This trend creates an opportunity for PLs to serve as a potential flexibility resource, considering growing penetration of EVs and integration of distributed energy resources DER (such as photovoltaic and energy storages). Given this background, this paper proposes a comprehensive evaluation framework to investigate the potential role of DER-integrated PLs (DPL) with the capability of vehicle-to-grid (V2G) in improving the reliability of the distribution network. For this aim, first, an overview for the distribution system with DPLs is provided. Then, a… More
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  • Load Forecasting of the Power System: An Investigation Based on the Method of Random Forest Regression
  • Abstract Accurate power load forecasting plays an important role in the power dispatching and security of grid. In this paper, a mathematical model for power load forecasting based on the random forest regression (RFR) was established. The input parameters of RFR model were determined by means of the grid search algorithm. The prediction results for this model were compared with those for several other common machine learning methods. It was found that the coefficient of determination (R2) of test set based on the RFR model was the highest, reaching 0.514 while the corresponding mean absolute error (MAE) and the mean squared… More
  •   Views:52       Downloads:29        Download PDF


  • Open-Circuit Faults Diagnosis in Direct-Drive PMSG Wind Turbine Converter
  • Abstract The condition monitoring and fault diagnosis have been identified as the key to achieving higher availabilities of wind turbines. Numerous studies show that the open-circuit fault is a significant contributor to the failures of wind turbine converter. However, the multiple faults combinations and the influence of wind speed changes abruptly, grid voltage sags and noise interference have brought great challenges to fault diagnosis. Accordingly, concerning the open-circuit fault of converters in direct-driven PMSG wind turbine, a diagnostic method for multiple open-circuit faults is proposed in this paper, which is divided into two tasks: The first one is the fault detection… More
  •   Views:230       Downloads:134        Download PDF