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Superconducting energy storage technology-based synthetic inertia system control to enhance frequency dynamic performance in microgrids with high renewable penetration

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Protection and Control of Modern Power Systems 2021年第1期6卷 460-472页

作者： Gaber Magdy abualkasim bakeer Mohammed Alhasheem Electrical Engineering Department Faculty of Energy EngineeringAswan UniversityAswan81528Egypt Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt Electrical Power Engineering and Mechatronics Department School of EngineeringTallinn University of Technology19086TallinnEstonia Department of Electrical and Control Arab Academy for ScienceTechnologyand Maritime TransportCairo2033Egypt

With high penetration of renewable energy sources(RESs)in modern power systems,system frequency becomes more prone to fluctuation as RESs do not naturally have inertial properties.A conventional energy storage system(ESS)based on a battery has been used to tackle the shortage in system inertia but has low and short-term power support during the *** address the issues,this paper proposes a new synthetic inertia control(SIC)design with a superconducting magnetic energy storage(SMES)system to mimic the necessary inertia power and damping properties in a short time and thereby regulate the microgrid(µG)frequency during *** addition,system frequency deviation is reduced by employing the proportional-integral(PI)controller with the proposed SIC *** efficacy of the proposed SIC system is validated by comparison with the conventional ESS and SMES systems without using the PI controller,under various load/renewable perturbations,nonlinearities,and *** simulation results highlight that the proposed system with SMES can efficiently manage several disturbances and high system uncertainty compared to the conventional ESS and SMES systems,without using the PI controller.

关键词： Synthetic inertia control(SIC) Load frequency control(LFC) Superconducting magnetic energy storage(SMES) Renewable energy sources(RESs) Microgrid(µG)

Integration of PV system with SMES based on model predictive control for utility grid reliability improvement

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Protection and Control of Modern Power Systems 2021年第1期6卷 191-203页

作者： abualkasim bakeer Hossam S.Salama Istvan Vokony Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt Electrical Power Engineering and Mechatronics Department School of EngineeringTallinn University of Technology19086TallinnEstonia Department of Electric Power Engineering Budapest University of Technology and EconomicsBudapest1111Hungary

This paper describes the integration of a photovoltaic (PV) renewable energy source with a superconducting magnetic energy storage (SMES) system. The integrated system can improve the voltage stability of the utility grid and achieve power leveling. The control schemes employ model predictive control (MPC), which has gained significant attention in recent years because of its advantages such as fast response and simple implementation. The PV system provides maximum power at various irradiation levels using the incremental conductance technique (INC). The interfaced grid side converter of the SMES can control the grid voltage by regulating its injected reactive power to the grid, while the charge and discharge operation of the SMES coil can be managed by the system operator to inject/absorb active power to/from the grid to achieve the power leveling strategy. Simulation results based on MATLAB/Simulink® software prove the fast response of the system control objectives in tracking the setpoints at different loading scenarios and PV irradiance levels, while the SMES injects/absorbs active and reactive power to/from the grid during various events to improve the voltage response and achieve power leveling strategy.

关键词： Model predictive control(MPC) Superconducting magnetic energy storage(SMES) Photovoltaic(PV)systems Voltage improvement Power leveling strategy

Adaptive coordination control strategy of renewable energy sources,hydrogen production unit,and fuel celi for frequency regulation of a hybrid distributed power system

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Protection and Control of Modern Power Systems 2022年第1期7卷 472-489页

作者： Hossam S.Salama Gaber Magdy abualkasim bakeer Istvan Vokony Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan 81542Egypt Department of Electric Power Engineering Budapest University of Technology and EconomicsBudapest 1111Hungary Electrical Engineering Department Faculty of Energy EngineeringAswan UniversityAswan 81528Egypt

Owing to the significant number of hybrid generation systems(HGSs)containing various energy sources,coordina-tion between these sources plays a vital role in preserving frequency *** this paper,an adaptive coordination control strategy for renewable energy sources(RESs),an aqua electrolyzer(AE)for hydrogen production,and a fuel cell(FC)-based energy storage system(ESS)is proposed to enhance the frequency stability of an *** the proposed system,the excess energy from RESs is used to power electrolysis via an AE for hydrogen energy storage in *** proposed method is based on a proportional-integral(Pl)controller,which is optimally designed using a grey wolf optimization(GWO)algorithm to estimate the surplus energy from RESs(ie,a proportion of total power generation of RESs:Kn).The studied HGS contains various types of generation systems including a diesel generator,wind tur-bines,photovoltaic(PV)systems,AE with FCs,and ESSs(e.g.,battery and flywheel).The proposed method varies Kn with varying frequency deviation values to obtain the best benefits from RESs,while damping the frequency *** proposed method is validated by considering different loading conditions and comparing with other existing studies that consider Kn as a constant *** simulation results demonstrate that the proposed method,which changes Kn value and subsequently stores the power extracted from the RESs in hydrogen energy storage according to frequency deviation changes,performs better than those that use constant *** statistical analysis for frequency deviation of HGS with the proposed method has the best values and achieves large improvements for minimum,maximum,difference between maximum and minimum,mean,and standard deviation compared to the existing method.

关键词： Adaptive coordination control method Renewable energy sources Fuel cell Grey wolf optimization(GWO)algorithm Fraction factor(Kn) Frequency control

Intelligent Fractional-Order Controller for SMES Systems in Renewable Energy-Based Microgrid

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1807-1830页

作者： Aadel M.Alatwi abualkasim bakeer Sherif A.Zaid Ibrahem E.Atawi Hani Albalawi Ahmed M.Kassem Electrical Engineering Department Faculty of EngineeringUniversity of TabukTabuk47913Saudi Arabia Industrial Innovation and Robotic Center(IIRC) University of TabukTabuk47731Saudi Arabia Department of Electrical Engineering Faculty of EngineeringAswan UniversityAswan81542Egypt Renewable Energy and Environmental Technology Centre University of TabukTabuk47913Saudi Arabia Electrical Engineering Department Faculty of EngineeringSohag UniversitySohag82524Egypt

An autonomous microgrid that runs on renewable energy sources is presented in this *** has a supercon-ducting magnetic energy storage(SMES)device,wind energy-producing devices,and an energy storage ***,because such microgrids are nonlinear and the energy they create varies with time,controlling and managing the energy inside them is a difficult ***-order proportional integral(FOPI)controller is recommended for the current research to enhance a standalone microgrid’s energy management and *** suggested dedicated control for the SMES comprises two loops:the outer loop,which uses the FOPI to regulate the DC-link voltage,and the inner loop,responsible for regulating the SMES current,is constructed using the intelligent FOPI(iFOPI).The FOPI+iFOPI parameters are best developed using the dandelion optimizer(DO)approach to achieve the optimum *** suggested FOPI+iFOPI controller’s performance is contrasted with a conventional PI controller for variations in wind speed and microgrid *** optimal FOPI+iFOPI controller manages the voltage and frequency of the *** behavior of the microgrid as a reaction to step changes in load and wind speed was measured using the proposed *** simulations were used to evaluate the recommended system’s *** results of the simulations showed that throughout all interruptions,the recommended microgrid provided the load with AC power with a constant amplitude and *** addition,the required load demand was accurately ***,the microgrid functioned incredibly well despite SMES and varying wind *** obtained under identical conditions were compared with and without the best FOPI+iFOPI *** utilizing the optimal FOPI+iFOPI controller with SMES,it was found that the microgrid performed better than the microgrid without SMES.

关键词： Fractional-order proportional integral(FOPI) intelligent controller renewable energy resources superconducting magnetic energy storage optimization