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  • 1
    Online Resource
    Online Resource
    Research on Life Prediction of IGBT Devices Based on Elman Neural Network Model
    IOP Publishing ; 2020
    In:  Journal of Physics: Conference Series Vol. 1550, No. 3 ( 2020-05-01), p. 032148-
    Details
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1550, No. 3 ( 2020-05-01), p. 032148-
    Abstract: IGBT, as a new generation of composite full-controlled voltage-driven power semiconductor devices, has been widely used in the field of modern power electronics. The study of IGBT device life prediction has important guiding significance for the stable operation and reliability management of power system. In this paper, the Cofin-Manson-Arrhenius extended exponential model based on thermal load is analyzed, and the model parameters are trained and modified by the Elman neural network in order to improve the prediction accuracy of life prediction model. The Coffin-Manson-Arrhenius extension exponential model and the new improved model are simulated and validated by experiments. The results are compared with the actual life of IGBT. It is concluded that the Coffin-Manson-Arrhenius extension exponential model based on Elman neural network has higher accuracy in life prediction than the Coffin-Manson-Arrhenius extension exponential model.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    URL: Article
    DOI: 10.1088/1742-6596/1550/3/032148
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2166409-2
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  • 2
    Online Resource
    Online Resource
    Adaptive Virtual Inertial Control and Virtual Droop Control Coordinated Control Strategy for Hybrid Energy Storage Taking into Account State of Charge Optimization
    MDPI AG ; 2024
    In:  Electronics Vol. 13, No. 7 ( 2024-03-26), p. 1228-
    Details
    In: Electronics, MDPI AG, Vol. 13, No. 7 ( 2024-03-26), p. 1228-
    Abstract: For energy-storage-assisting conventional units to participate in the primary frequency regulation of a power system, firstly, based on the frequency regulation mechanism of virtual inertial control (VIC) and virtual droop control (VDC) of energy storage, we analyze the effect of the action timing of energy storage on the frequency deviation of the grid under two control methods and put forward a reasonable combination of the two control methods; on this basis, we also put forward hybrid energy storage adaptive VIC and VDC based on the demand of VIC and VDC on the power and capacity of energy storage. On this basis, based on the demand of VIC and VDC on the power and capacity of energy storage, a hybrid energy storage adaptive VIC and VDC coordinated control strategy based on supercapacitor–lithium batteries is proposed, whereby a high-power storage supercapacitor responds to inertial control signals to rapidly suppress a drop in frequency, and the high-capacity lithium battery responds to droop control signals to perform long-time droop control. The high-capacity lithium battery responds to the sagging control signal and is used to perform a long-time sagging power response; finally, in order to avoid the state of charge (SOC) of energy storage falling into a low/high working condition and losing the subsequent frequency regulation ability, an adaptive power control strategy of energy storage based on the improved logistic function is proposed. The simulation results show that under typical load disturbance, the SOC level of the proposed strategy increases by 19.17% and 30.16%, respectively, compared with that of the single-lithium strategy and no energy storage, and the SOC level of the supercapacitor and lithium battery increases by 29.4% and 2.1%, respectively, compared with that of logistic optimization.
    Type of Medium: Online Resource
    ISSN: 2079-9292
    URL: Article
    DOI: 10.3390/electronics13071228
    Language: English
    Publisher: MDPI AG
    Publication Date: 2024
    detail.hit.zdb_id: 2662127-7
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  • 3
    Online Resource
    Online Resource
    A rolling optimization method of reserve capacity considering wind power frequency control
    AIP Publishing ; 2022
    In:  Journal of Renewable and Sustainable Energy Vol. 14, No. 1 ( 2022-01-01)
    Details
    In: Journal of Renewable and Sustainable Energy, AIP Publishing, Vol. 14, No. 1 ( 2022-01-01)
    Abstract: Wind power participating in frequency control with reserve capacity is an inevitable requirement for the system with a high proportion of wind power in the future. The existing reserve allocation methods, which consider the wind farm frequency control with reserve often only considered the economy or efficiency of the wind farm to set reserve capacity in fixed percentage, failed to follow the principle of optimal system efficiency and cannot optimize the system frequency regulation economy and frequency stability at the same time. The proposed method from the perspective of the system allocates reserve capacity among wind power, thermal power, and hydropower, who participate in system frequency control. Multi-objective chance constrained programming takes the economy and frequency stability as the optimization objectives. A rolling optimization method of reserve capacity is carried out periodically according to fluctuating wind power and load, making the calculation results in real time. A hybrid intelligent algorithm is adopted to improve the calculation efficiency. The simulation in the IEEE 39-bus test network shows that the proposed method can effectively improve the frequency control effect and system economy. Compared with the reserve allocation method considering wind farm participating in frequency control with reserve capacity in fixed percentage, the proposal can at most reduce the RoCoF by 9.5%, the maximum frequency deviation by 4.3%, and the steady-state frequency deviation by 4.1%, and when the system frequency stability is the only objective, at most 79.4% coal consumption reserve cost in the system can be saved.
    Type of Medium: Online Resource
    ISSN: 1941-7012
    URL: Article
    DOI: 10.1063/5.0059888
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2444311-6
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  • 4
    Online Resource
    Online Resource
    Research on a Fault Location Method for a Pole-to-Pole Short-Circuit Fault in an LCC-MMC Hybrid DC Transmission System
    Institute of Electrical and Electronics Engineers (IEEE) ; 2020
    In:  IEEE Access Vol. 8 ( 2020), p. 165683-165692
    Details
    In: IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), Vol. 8 ( 2020), p. 165683-165692
    Type of Medium: Online Resource
    ISSN: 2169-3536
    URL: Journal
    URL: Article
    DOI: 10.1109/Access.6287639
    DOI: 10.1109/ACCESS.2020.3022717
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2020
    detail.hit.zdb_id: 2687964-5
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  • 5
    Online Resource
    Online Resource
    Research on the STATCOM Mathematical Model of Battery Storage in HVDC Transmission System
    Frontiers Media SA ; 2022
    In:  Frontiers in Energy Research Vol. 10 ( 2022-6-23)
    Details
    In: Frontiers in Energy Research, Frontiers Media SA, Vol. 10 ( 2022-6-23)
    Abstract: When traditional STATCOM (Static Synchronous Compensator) performs large-capacity reactive power compensation, the control accuracy of the DC side voltage will be affected and the DC side voltage will fluctuate greatly. Therefore, this study proposes to use battery energy storage STATCOM (STATCOM/BESS) and gives the main circuit topology of STATCOM/BESS. By analyzing the working principle of STATCOM/BESS, the mathematical model and control method are derived and modeled, in which the Shepherd model is used as the energy storage battery in STATCOM/BESS. Aiming at the possible imbalance of the battery state of charge (SOC) in STATCOM/BESS, the phase-to-phase SOC balance control and phase control are proposed. At last, in PSCAD/EMTDC simulation software, STATCOM/BESS is tested for dynamic response and steady-state response performance of active power control, reactive power control, and transformation failure suppression test, which verifies the effectiveness and superiority of STATCOM/BESS commutation failure.
    Type of Medium: Online Resource
    ISSN: 2296-598X
    URL: Article
    DOI: 10.3389/fenrg.2022.827914
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2733788-1
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  • 6
    Online Resource
    Online Resource
    Adaptive finite-time parameter estimation for grid-connected converter with LCL filter
    Frontiers Media SA ; 2022
    In:  Frontiers in Energy Research Vol. 10 ( 2022-9-5)
    Details
    In: Frontiers in Energy Research, Frontiers Media SA, Vol. 10 ( 2022-9-5)
    Abstract: This study proposes an online finite-time adaptive parameter estimation method for grid-connected voltage source inverter (VSI) with LCL filter. In this framework, a time-continuous state-space system model is first developed, which is different from the nonparametric frequency-response-based method. Then, the parameter estimation error information is extracted by introducing a series of filter operations. Moreover, a sliding mode term is studied and cooperated with the obtained parameter estimation error to design the parameter estimation error-based finite-time adaptive parameter estimation algorithm. With the help of this novel adaptive law, the physical parameters of electrical components can be driven to their true values accurately and fast. Theoretical analysis is conducted in terms of the Lyapunov theory to demonstrate the convergence of the parameter estimation error. Finally, numerical simulation results are provided to illustrate the superiority of the proposed method over the conventional method.
    Type of Medium: Online Resource
    ISSN: 2296-598X
    URL: Article
    DOI: 10.3389/fenrg.2022.964216
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2733788-1
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  • 7
    Online Resource
    Online Resource
    Radial Basis Function Based Meta-Heuristic Algorithms for Parameter Extraction of Photovoltaic Cell
    MDPI AG ; 2023
    In:  Processes Vol. 11, No. 6 ( 2023-05-24), p. 1606-
    Details
    In: Processes, MDPI AG, Vol. 11, No. 6 ( 2023-05-24), p. 1606-
    Abstract: Accurate parameter estimation of photovoltaic (PV) cells is crucial for establishing a reliable cell model. Based on this, a series of studies on PV cells can be conducted more effectively to improve power output; an accurate model is also crucial for the operation and control of PV systems. However, due to the high nonlinearity of the cell and insufficient measured current and voltage data, traditional PV parameter identification methods are difficult to solve this problem. This article proposes a parameter identification method for PV cell models based on the radial basis function (RBF). Firstly, RBF is used to de-noise and predict the data to solve the current problems in the parameter identification field of noise data and insufficient data. Then, eight prominent meta-heuristic algorithms (MhAs) are used to identify the single-diode model (SDM), double-diode model (DDM), and three-diode model (TDM) parameters of PV cells. By comparing the identification accuracy of the three models in two datasets in detail, the final results show that this method can effectively achieve parameter extraction, with advantages such as high extraction accuracy and stability, greatly improving the accuracy and reliability of parameter identification. Especially in the TDM, the I-V data and P-V data obtained from the PV model established through the identified parameters have very high fitting accuracy with the measured I-V and P-V data, reaching 99.58% and 99.65%, respectively. The research can effectively solve the low accuracy problem caused by insufficient data and noise data in the traditional method of identifying PV cells and can greatly improve the accuracy of PV cell modeling. It is of great significance for the operation and control of PV systems.
    Type of Medium: Online Resource
    ISSN: 2227-9717
    URL: Article
    DOI: 10.3390/pr11061606
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2720994-5
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  • 8
    Online Resource
    Online Resource
    Joint Control Strategy of Energy Storage System and Cutting Machine for Transient Stability of Direct Current Locking Rear Delivery Terminal System
    MDPI AG ; 2023
    In:  Sustainability Vol. 15, No. 15 ( 2023-08-03), p. 11960-
    Details
    In: Sustainability, MDPI AG, Vol. 15, No. 15 ( 2023-08-03), p. 11960-
    Abstract: With the gradual operation of large-capacity HVDC transmission, HVDC), the characteristics of the “strong and weak communication” of the power grid are increasingly obvious. The power impact of the DC line after locking has a great impact on the power angle stability of the system and seriously threatens the transient stability of the delivery end system. By establishing the equivalent model of the AC/DC system with the energy storage power station and analyzing the transient process after DC locking, we propose a control strategy for the transient stability of the energy storage system and the delivery system after DC locking. This strategy controls the charge and discharge of the energy storage system by collecting real-time power angle and voltage data of the grid, uses the equal area rule, and initiates the cutting machine after the energy storage system is withdrawn. To verify the validity and correctness of the proposed method, a simulation analysis was performed in a modified cross-flow CEPRI-36 node AC–DC system.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    URL: Article
    DOI: 10.3390/su151511960
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2518383-7
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