Recent Trends in Wind Energy Conversion System with Grid Integration Based on Soft Computing Methods: Comprehensive Review, Comparisons and Insights

Faculty Engineering Year: 2023
Type of Publication: ZU Hosted Pages: 1439-1478
Authors:
Journal: Archives of Computational Methods in Engineering Springer Volume: 30
Keywords : Recent Trends , Wind Energy Conversion System    
Abstract:
Wind energy is an effective and promising renewable energy source to produce electrical energy. Wind energy conversion systems (WECS) have been developing on a wide scale worldwide. The expansion of wind energy demand tends to produce high-quality output power in terms of grid integration. Due to the intermittent nature of wind energy, great challenges are found regarding WECS modeling, control, and grid integration. This paper introduces a comprehensive review of WECS and their grid-interface systems based on soft computing methods. To achieve this aim, more than 300 articles are organised and only 160 papers are presented in this review. This is intended to cover a broad range of topics concerning the configurations of WECS, electrical generators, and various topologies of power converters used for control and grid integration. Furthermore, international grid codes for wind energy integration with electric grids, particularly frequency, power factor, and low voltage ride through (LVRT) capability are investigated. The major controller approaches and topologies for grid and generator converters are discussed. Different aspects of modern control of WECS are introduced either for grid-side or generator-side. Moreover, control strategies for maximum power point tracking methods are compared along with methods of frequency control. This review paper introduces a comprehensive and a useful summery for the recent work in literature regarding WECS. Detailed modelling, control, and grid integration along with comparisons and discussion are introduced.
   
     
 
       

Author Related Publications

  • Mahmoud Mohamed Shawky Ahmed Elkholy , "Artificial ecosystem-based optimiser to electrically characterise PV generating systems under various operating conditions reinforced by experimental validations", Wiley, 2021 More
  • Mahmoud Mohamed Shawky Ahmed Elkholy , "Effective damping of local low frequency oscillations in power systems integrated with bulk PV generation", Springer, 2021 More
  • Mahmoud Mohamed Shawky Ahmed Elkholy , "Slime mould algorithm constrained by the relay operating time for optimal coordination of directional overcurrent relays using multiple standardized tripping curves", Springer, 2021 More
  • Mahmoud Mohamed Shawky Ahmed Elkholy , "Efficient frequency regulation in highly penetrated power systems by renewable energy sources using stochastic fractional optimizer", The Institution of Engineering and Technology (IET), 2019 More
  • Mahmoud Mohamed Shawky Ahmed Elkholy , "Optimization of a PV fed water pumping system without storage based on teaching-learning-based optimization algorithm and artificial neural network", ELSEVIER, 2016 More

Department Related Publications

  • Amal Farouk Abdelgawad Badaawi, "Power Factor Improvement for Pumping Stations using Capacitor Banks", Int. J. Emerg. Electr. Power Syst., 2016 More
  • Hytham Saad Mohamed Ramadan, "Power Factor Improvement for Pumping Stations using Capacitor Banks", Int. J. Emerg. Electr. Power Syst., 2016 More
  • Ahmed Mohamed Othman Abdelmaksoud, "Particle Swarm Optimization and Genetic Algorithm for Convex and Non-convex ED", International Review of Electrical Engineering (IREE), 2014 More
  • Abdellatif Mohamed Abdelattef Elzen, "Incipient electric field determination for bush and streamer stage and dielectric liquid under energy balance condition", Elsevier, 2016 More
  • Ehab Saliem Ali Mohamed Salamh, "Load Frequency Controller Design via Artificial Cuckoo Search Algorithm", Taylor & Francis, 2016 More
Tweet