Cascaded Controller for Electric Vehicle Utilization to Improve Frequency Regulation of Microgrid Considering Communication Delay

This study proposes an incorporated strategy based on energy storage technologies like aggregated electric vehicles (AEVs) with frequency regulation (FR) to enhance the frequency stabilization during high renewable sources (RSs) penetration. Furthermore, an innovative cascaded controller is used in the FR loop, and the considered AEVs in isolated multi-sources microgrid system. The proposed control structure is based on using two terms, the first term is the fractional order proportional-integral (FOPI), and the second cascaded term is a tilt derivative with filter (TDF) to form the cascaded (FOPI-TDF) controller. Furthermore, the gains of the proposed controller are well optimized utilizing skill optimization technique (SOT). The effectiveness of the proposed FOPI-TDF controller is validated by comparing its performance with PID, tilt-integral-derivative (TID) controllers. Additionally, the study investigates the impact AEVs in stabilizing the system frequency under randomly generated power from RSs and load perturbation.

[1]  A. Azar,et al.  Optimized Fractional Order Integral-Tilt Derivative Controller for Frequency Regulation of Interconnected Diverse Renewable Energy Resources , 2022, IEEE Access.

[2]  Salah Kamel,et al.  Modified TID controller for load frequency control of a two-area interconnected diverse-unit power system , 2022 .

[3]  Furkan Ahmad,et al.  An Integral Tilt Derivative Control Strategy for Frequency Control in Multimicrogrid System , 2021, IEEE Systems Journal.

[4]  Taha Selim Ustun,et al.  IEC 61850 communication based dual stage load frequency controller for isolated hybrid microgrid , 2021 .

[5]  Taha Selim Ustun,et al.  State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems , 2020 .

[6]  Yasser Abdel-Rady I. Mohamed,et al.  Cooperative Control of Wind Power Generator and Electric Vehicles for Microgrid Primary Frequency Regulation , 2018, IEEE Transactions on Smart Grid.

[7]  Frede Blaabjerg,et al.  Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller , 2018, IEEE Transactions on Sustainable Energy.

[8]  Sanjoy Debbarma,et al.  Utilizing Electric Vehicles for LFC in Restructured Power Systems Using Fractional Order Controller , 2017, IEEE Transactions on Smart Grid.

[9]  Saad Mekhilef,et al.  Inertia response and frequency control techniques for renewable energy sources: A review , 2017 .

[10]  Attia A. El-Fergany,et al.  Efficient frequency controllers for autonomous two-area hybrid microgrid system using social-spider optimiser , 2017 .

[11]  Samuel Asumadu-Sarkodie,et al.  A review of renewable energy sources, sustainability issues and climate change mitigation , 2016 .

[12]  Seyedmahdi Izadkhast,et al.  An aggregate model of plug-in electric vehicles for primary frequency control , 2015, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[13]  Zechun Hu,et al.  Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation Considering Charging Demands , 2013, IEEE Transactions on Power Systems.

[14]  Dulal Ch. Das,et al.  GA based frequency controller for solar thermal–diesel–wind hybrid energy generation/energy storage system , 2012 .

[15]  Taisuke Masuta,et al.  Supplementary Load Frequency Control by Use of a Number of Both Electric Vehicles and Heat Pump Water Heaters , 2012, IEEE Transactions on Smart Grid.

[16]  H. Givi,et al.  Skill Optimization Algorithm: A New Human-Based Metaheuristic Technique , 2022, Computers, Materials & Continua.