23 August 2025, Volume 44 Issue 8
    

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    Special Issues for High Inertia Flywheel Energy Storage Technology
  • TANG Xisheng
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 1-8. https://doi.org/10.12067/ATEEE2501023
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    With the deepening development of new power systems, the demand for grid-forming technical equipment, such as inertia response, transient support, and rapid frequency and voltage regulation, has become increasingly urgent to address the system stability issues caused by the decreasing proportion of synchronous generator units. Flywheel energy storage, as a rotational mechanical inertia device, possesses inherent advantages for grid-forming operation. At present, flywheel energy storage can operate as an independent energy storage unit connected to the grid through power conversion devices or in combination with synchronous condensers and other equipment. The concept of grid-forming flywheel energy storage is proposed, encompassing typical technological directions such as inertial flywheel synchronous condensers, power-electronics-based grid-connected high-speed flywheel energy storage, and synchronous-machine-based grid-connected high-speed flywheel energy storage. This paper analyzes the grid-forming operation mechanisms, key technologies, and application scenarios, providing valuable references for the research and application of flywheel energy storage.
  • ZHANG Guoping, WANG Fuqiang, ZHANG Hongfu, YUAN Guili
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 9-19. https://doi.org/10.12067/ATEEE2501003
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    In the grid-connected control of multiphase permanent magnet synchronous motor (PMSM) flywheel energy storage systems, maintaining stable DC bus voltage and ensuring fast response of grid-side instantaneous active power are critical requirements. However, conventional control strategies often suffer from slow dynamic response and large steady-state deviations. To address these issues, this paper proposes a grid-connected control strategy for a high-speed flywheel energy storage system driven by a six-phase PMSM. Corresponding control methods are designed for the three sequential stages of the grid-connection process: flywheel acceleration, grid-connection preparation, and grid-connected operation.During the acceleration stage, the DC bus voltage is controlled by the grid-side converter, while the flywheel speed is regulated by the motor-side converter. In the preparation and operation stages, the motor-side converter maintains the DC bus voltage, and the grid-side converter controls the power delivered to the grid. Simulation results based on a six-phase PMSM mathematical model verify the effectiveness of the proposed strategy. The system achieves stable DC bus voltage during grid-connected operation and demonstrates faster power response compared to conventional methods. Under step changes in power commands of 100 kW, 200 kW, 300 kW, 400 kW, and 500 kW, the response time is reduced by 3 ms, 9 ms, 14 ms, 27 ms, and 53 ms.
  • XU Cheng, TANG Xisheng
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 20-32. https://doi.org/10.12067/ATEEE2504044
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    Traditional repetitive controller can only suppress harmonics at a fixed frequency, and cannot meet the vibration control requirements of high-speed flywheel energy storage magnetic bearing system in a wide range of operating frequencies. For this reason, this paper proposes a variable speed repetitive controller based on the variable sampling frequency method and is compared with the repetitive controller based on the fractional order delay method to demonstrate the superiority of the variable sampling frequency method. Meanwhile, in order to improve the suppression ability of the repetitive controller on harmonic current, a proportional differential repetitive control method is proposed. Based on this, a new variable speed repetitive controller combining the variable sampling frequency method and the proportional differential repetitive control method is proposed, and the new controller solves the multi-frequency vibration control problem of the flywheel energy storage operating in a wide frequency range. Finally, numerical simulations and experimental tests show that the proposed repetitive controller is capable of suppressing about 66% or more of the harmonic components and is suitable for the multi-frequency vibration control of magnetic bearing systems.
  • SHI Xuewei, NING Zhaoxuan, LI Ming, JIANG Xinjian, LU Haifeng, ZHANG Donghui, DONG Wenqi
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 33-42. https://doi.org/10.12067/ATEEE2502025
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    This paper addresses the issue of inertia flywheel systems participating in grid inertia response and frequency regulation control. Firstly, it introduces the structure, mathematical model, and working mechanism of the inertia flywheel system. Secondly, it proposes a model predictive current control strategy for the doubly-fed induction motor of the inertia flywheel system based on an improved two-step prediction method. This strategy is applied to the process of inertia flywheel systems participating in grid inertia response and frequency regulation control, and a model predictive control strategy for inertia flywheel systems to participate in grid inertia response and frequency regulation control is proposed. Simulations are conducted to test the control effects of the proposed control strategy in terms of current ripple, overload capacity, and frequency regulation capability. The simulation results indicate that the proposed model predictive current control can effectively reduce the current ripple and power ripple of the inertia flywheel during normal operation compared to vector control. Meanwhile, the inertia flywheel system exhibits strong overload capacity and good inertia response capability during the grid inertia response phase.
  • XU Cheng, TANG Xisheng, LIU Guanjie
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 43-51. https://doi.org/10.12067/ATEEE2411020
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    Online tuning of PID controller parameters is critical for optimizing the operational performance of active magnetic bearing (AMB) systems. However, existing parameter design methods often ignore the control delay introduced by the controller response period and the inductive effect of the bearing coil, resulting in PID parameters calculated on the basis of the closed-loop transfer function failing to ensure system stability. Therefore, this paper investigates the operating characteristics of the AMB system that characterize the control delay. The control parameter calculation model of the AMB system considering the control delay is constructed based on the PID algorithm. Furthermore, a numerical model of the AMB system considering the control delay is established. And the experimental platform of the AMB rigid rotor system is built. The operating performance of the active magnetic bearing under different rotor frequencies and PID parameters is investigated experimentally and simulated. Meanwhile, the mapping relationship between PID parameters and system performance under control delay is analyzed. Accordingly, an adaptive PID parameter tuning strategy based on rotor frequency is proposed. The experimental test results show that the proposed control strategy is able to achieve stable operation of the rotor in the full speed range with less vibration.
  • YUAN Ye, GUO Zhongnan, YANG Fan, ZHU Junjun
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 52-60. https://doi.org/10.12067/ATEEE2410026
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    Aiming at the influence of inductor parameter mismatch on current prediction accuracy in the traditional model prediction control system for magnetic bearings, this study proposes a model prediction control strategy for magnetic bearings that considers a parameter mismatch with magnetic bearings with permanent magnet bias as the research object. First, the three-level modulation principle of the drive circuit for magnetic bearings is analyzed. Then, the model predictive controller for magnetic bearings is designed based on the mixed logic dynamic model, and a sliding mode observer is introduced to calculate the current prediction errors corresponding to all switching states in one control cycle. Finally, the prediction current errors are further calibrated to correct the prediction model in the event of parameter mismatch. Then, the current prediction accuracy is guaranteed in the event of parameter mismatch. The simulation and experimental results show that the current prediction error of the current mismatch state corresponds to the current prediction error. The simulation and experimental results show that compared with the traditional model prediction control strategy, this study presents a lower current ripple and a higher current prediction accuracy.
  • Treatise and Report
  • CHEN Duowen, SUN Kai, FENG Wei, ZHAO Jian
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 61-74. https://doi.org/10.12067/ATEEE2409015
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    Aiming at the load spike problem caused by large-scale electric vehicles (EV) entering the grid, especially the fast charging behavior, this paper proposes a two-stage optimal scheduling strategy for microgrids that takes into account the characteristics of EV charging behavior. Firstly, based on the V2G characteristics and time-sharing tariff system, a function model considering EV charging and discharging costs and the peak-to-valley difference of microgrid loads is constructed, and an optimal EV charging and discharging strategy to achieve peak shaving and valley filling of loads is formulated; secondly, the output of each power generation unit or grid with the goal of minimizing the microgrid operating costs and environmental costs is optimized, and the optimal solution is determined by the entropy weighting method; lastly, the two-phase optimization model is divided into grid-connected and islanded modes for joint solution using CPLEX solver and improved MOIDBO algorithm, respectively. The simulation results prove that the strategy proposed in this paper realizes peak shaving and valley filling while guaranteeing the EV charging demand, reduces the charging cost of EV users, and improves the economy of the microgrid system containing a high proportion of EV charging loads.
  • XING Haiqing, YAO Haiyan, ZHANG Xufeng, GUO Qiang, WANG Jingnan, ZHOU Niancheng
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 75-84. https://doi.org/10.12067/ATEEE2311035
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    Synchronous generator is one of the core components of power grid, so to obtain its correct and accurate parameter model is the basis of power system analysis and calculation. In this paper, the RTDS model of synchronous generator is established. Then, based on the equivalent circuit diagram, flux chain equation and voltage equation of synchronous generator, the transient stator current expression of single-phase grounding short circuit is derived. The objective is to minimize the sum of squared standardized errors between the calculated values of short-circuit current. The results are obtained by comparing the single-phase grounded short-circuit current test values with the identified parameters, the migration model of Seagull algorithm is improved by adding convergence factor, and the identification method of single-phase grounding sequence impedance parameters of synchronous generator is proposed. Finally, the short circuit test of the actual synchronous generator is compared with the simulation of the identification parameters RTDS, and the validity of the proposed identification method is verified. Based on the fault current of short-circuit test and the fast convergence characteristic of the improved Seagull optimization algorithm, the accuracy of parameter identification of synchronous generator is improved by combining experimental measurement with intelligent algorithm.
  • WANG Hong, LIU Yang, YIN Chao, ZHAO Xiaojun, YANG Li, ZHANG Chunjiang
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 85-97. https://doi.org/10.12067/ATEEE2307005
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    With the large-scale grid-connection of new energy sources (wind and solar photovoltaics) and energy storage, the new distribution areas have shown a characteristic trend of multi-energy system interconnection. In this context, the power exchangers (PEs) are required to achieve the active control and management of energy flows in multi-energy systems. The series-parallel architecture region PE (SPA-RPE) has the outstanding advantages of 200% energy transmission and flexible operation of energy flow. For the new distribution areas under the penetration of distributed energies, the SPA-RPE system is taken as a research object in this paper. Considering the converter rated capacity, renewable energy output fluctuations and battery SOC states, a multimode coordinated control strategy (MCCS) with the goal of increasing the proportion of new energy consumption is proposed, and its main characteristics are as follows: Considering the active power from the DC bus, a principle of freedom selection is designed, the energy allocation relationship between distributed energy sources (DES), energy storage system (ESS) and load power is established, and the system’s independent selection of optimal operation modes is realized under different working conditions. In addition, the proposed MCCS can realize the seamless switching between different operation modes, and provide continuous and stable power for the load. Finally, an experimental platform based on StarSim HIL is established, and the experimental results verify the feasibility and effectiveness of the proposed MCCS.
  • FENG Qian, ZHUANG Haoyan, CHEN Ran, BAO Wei, ZHANG Peng, YI Hao
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 98-107. https://doi.org/10.12067/ATEEE2401032
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    Installing flexible loop-closing devices emerges as a potent solution for optimizing the power scheduling of distribution systems following the integration of large-scale, diversified distributed energy and loads. Addressing the shortcomings of power electronic loop-closing equipment represented by unified power flow controllers in terms of cost, efficiency, and reliability, this paper proposes a Three-port flexible controlled phase shifter (T-FPS), This device consists of a multi-winding transformer and a hybrid on load tap changer, which can flexibly and quickly adjust the power flow of the closed loop line. Firstly, based on the proposed flexible loop-closing controllable phase shifter topology, this article analyzes the operating principle and on load tap changer structure of the equipment, and designs the transformer winding switching timing; Secondly, under the premise of knowing the parameters of the interconnection feeder, the paper derives the three port power flow equation that takes into account the phase shifter, analyzes the power coupling relationship between the interconnection feeder, and proposes a steady-state power flow control strategy for the phase shifter; Finally, the effectiveness of the proposed flexible closed-loop controllable phase shifter control strategy under various operating conditions was verified through a hardware-in-the-loop simulation model.
  • New Technology Application
  • XUE Huan, WEI Gaohan, JI Yue, YU Xiaolei, TANG Hao
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 108-118. https://doi.org/10.12067/ATEEE2407042
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    Because the health of the evaluation indicators of the transformer affects its reliability and operation, maintenance and other costs, and then affects its life cycle cost. Therefore, this paper considers an optimization method of transformer life cycle cost based on health index. Firstly, a health index calculation method based on subjective and objective evaluation results is proposed to construct a failure rate model based on multiple health indexes in transformer operation. Secondly, under the constraints of failure rate and operation life, a life-cycle cost optimization model is established considering future service life, maintenance time and maintenance degree as optimization variables and minimum annual life-cycle cost as objective function. Then, an initial population generation method based on Logistic-Tent chaotic mapping is introduced, a new exploration factor updating formula is given, and an improved Enhanced Gray Wolf Cuckoo (AGWO-CS) algorithm is proposed to optimize the whole life cycle cost of transformers. The simulation results demonstrate that, in comparison with traditional Particle Swarm Optimization (PSO), Cuckoo Search (CS) and AGWO-CS algorithms, the proposed method can further reduce the life-cycle cost of transformers. It provides a certain reference for the operation and maintenance of transformer.
  • WANG Yachao, DANG Zhaoshuai, LI Xuechao, HAN Di, QI Chengfei, BI Chaoran, YANG Ting
    Advanced Technology of Electrical Engineering and Energy. 2025, 44(8): 119-128. https://doi.org/10.12067/ATEEE2405004
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    With the surge in the number of new energy vehicles, the stable operation of electric vehicle charging facilities has become particularly critical for grid security and user rights protection. In this study, an in-depth analysis is conducted for the fault prediction of EV charging piles. Firstly, the user’s charging behavior is studied based on kernel density estimation, and the temporal correlations of charging onset, duration, and end moments are explored, and a non-Euclidean domain data modeling method is proposed accordingly. Further, the study introduces Graph Convolutional Neural Network (GCN) and Convolutional Neural Network (CCN), develops a GCN-CNN joint deep learning model to effectively capture the complex nonlinear relationship between fault classification and data features. Through ablation and algorithm comparison experiments on real datasets, this model achieves a superior performance of 0.844 for both F1score and G-mean on the validation set, which improves the average performance over other models by 6.28% and 6.04%, respectively. This study provides an innovative solution for charging pile fault prediction, which helps to reduce O&M costs and improve detection efficiency.