The large-scale integration of renewable energy into the power system has resulted in increased complexity of its uncertainty. This complexity arises from the rapidly increased renewable energy sites and the intricate...
The large-scale integration of renewable energy into the power system has resulted in increased complexity of its uncertainty. This complexity arises from the rapidly increased renewable energy sites and the intricate spatial-temporal correlations involved. To offer a more precise description of the uncertainty of renewable energy, a scenario generation method based on an improved diffusion model is proposed. This approach can autonomously learn the probability distribution and spatiotemporal correlation of the training data. It utilizes a U-Net model to progressively denoise noise and iteratively generate renewable energy scenarios. Experiments using historical power data from five wind farms and five $PV$ plants in Jiangsu Province show that the training process of the proposed method is more stable compared to existing methods. Moreover, the proposed method achieves higher accuracy in fitting probability distribution and captures the spatial correlation between multiple sites more accurately.
The active-neutral-point-clamped three-level dual active bridge (ANPC-DAB) converter is a prominent topology for medium voltage applications. To realize high cost-efficiency, the hybrid utilization of Si and SiC devic...
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ISBN:
(数字)9798350351330
ISBN:
(纸本)9798350351347
The active-neutral-point-clamped three-level dual active bridge (ANPC-DAB) converter is a prominent topology for medium voltage applications. To realize high cost-efficiency, the hybrid utilization of Si and SiC devices has been an attractive approach. In this paper, a 2-SiC hybrid devices ANPC-DAB converter is studied, which optimally utilizes both Si IGBTs and SiC MOSFETs to achieve the tradeoff between performance and cost. A modulation strategy through dual-path zero-state (DPZS) is proposed to achieve zero-voltage switching (ZVS) turn-on of all switches when combining proper current conditions and optimally balance the switching losses among the switches. Meanwhile, the presented method achieves small dead zones and short commutation loops during switching process. Finally, the experimental results are given to verify the effectiveness of the modulation strategy.
Security-constrained unit commitment (SCUC) is of great importance for the economic and reliable operation of the power system. The computational hardness of SCUC remains a significant issue in the power system and el...
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The deep integration of cyber-physical power systems renders the traditional state estimator more vulnerable to complex cyber-attacks, such as False Data Injection Attack (FDIA). FDIA can evade the existing Bad Data D...
The deep integration of cyber-physical power systems renders the traditional state estimator more vulnerable to complex cyber-attacks, such as False Data Injection Attack (FDIA). FDIA can evade the existing Bad Data Detection (BDD) and thus cause adverse effects. Meanwhile, with the improving permeability of renewable energy and the broad application of power electronic devices, smart grids often manifest significant power fluctuation uncertainty. That is, both power generations and loads have strong randomness. However, existing FDIA detection methods are often unable to cope with the changes in the operating condition of smart grids brought by such power fluctuations. To address the problem, this paper proposes a novel deep-learning framework to detect FDIA. It applies a Convolutional Long Short-Term Memory (ConvLSTM) model as the feature extractor to capture the inherent dynamic characteristics and spatio-temporal correlations of smart grid measurements. In addition, the self-attention (SA) mechanism is introduced to make the framework automatically pay attention to the more important features of the measurement data to realize efficient FDIA detection in smart grids under uncertain power fluctuations. Experiments on the IEEE 39-bus system show that the proposed framework exceeds most existing technologies in terms of detection rate and robustness.
Under weak grids, the output impedance of grid-connected inverter is coupled with the grid impedance, leading to poor quality of the grid current. To address this issue, the symmetrical phase-locked loop (PLL) has bee...
Under weak grids, the output impedance of grid-connected inverter is coupled with the grid impedance, leading to poor quality of the grid current. To address this issue, the symmetrical phase-locked loop (PLL) has been proposed which can eliminate the frequency coupling and attribute the system model to be symmetrical. Although the system performances well under steady state, the characteristics of the inverter is unclear under non-ideal conditions at present. In this article, by investigating the inverter performance with the symmetrical PLL under different grid conditions, it is founded that both the dynamic and steady-state characteristics become worse compared to that with synchronous reference frame (SRF) PLL. The experiments validate the correctness of the theoretical analysis.
This paper provides a detailed introduction to a modular modeling approach for the transfer function of the VSC grid-connected system. The obtained results can accurately reflect the small-disturbance stability level ...
This paper provides a detailed introduction to a modular modeling approach for the transfer function of the VSC grid-connected system. The obtained results can accurately reflect the small-disturbance stability level of VSC grid-connected systems. These results are based on the VSC outer-loop reference signal and the corresponding feedback signal, constituting a two-input two-output system. The modeling process involves three steps. Initially, only the dynamic processes of the VSC inner-loop control and PLL control modules are considered. Subsequently, the relevant modules of the VSC outer-loop control are included. Finally, it is condensed into a concise form. By utilizing the basic property of linearity in systems that adhere to the superposition principle, it can be converted into an equivalent single-input single-output system. This enables the application of the Nyquist stability criterion for stability analysis. All results presented in this paper have been validated through PSCAD/EMTDC simulation.
The offshore wind farm connected modular multilevel converter (MMC)-based high-voltage direct-current (HVDC) transmission system is prone to lose transient synchronization stability under AC faults. The multi-wind tur...
The offshore wind farm connected modular multilevel converter (MMC)-based high-voltage direct-current (HVDC) transmission system is prone to lose transient synchronization stability under AC faults. The multi-wind turbine (WT) interaction can cause a great deal WTs to lose stability in quick succession. Moreover, the multiple WTs further interact with the control of MMC, making the system stability analysis complicated. In order to guarantee a reliable operation of the system, based on equal area criterion (EAC), this paper exhaustively analyzes the stability problem of such offshore wind farm. The investigated wind farm is made up of full-scale type-4 wind turbines (WTs). It is found that the injected current distribution of MMC and WT are especially predominant in such two interactions. Based on above analysis, a stability-oriented current scheme is proposed to minimize the adverse effect of interactions, enhancing the synchronization stability. Finally, above theoretical analysis and effectiveness of the proposed current scheme are verified by MATLAB/Simulink simulation results.
Due to the excellent thermal stability and high-power density in steady state, no-insulation (NI) winding technology is widely used in the application of superconducting magnets. However, current ripple and background...
Due to the excellent thermal stability and high-power density in steady state, no-insulation (NI) winding technology is widely used in the application of superconducting magnets. However, current ripple and background magnetic field fluctuations caused by relative devices result in repetitive turn-to-turn current of the NI insert magnet, which will impose a great impact on the thermal stability of the NI magnet. This paper analyzes the cylindrical and radial current distributions of NI magnet under dynamic operating conditions by 2D finite-element method. The results provide references of thermal conductive structure design and assessment of operational reliability of NI magnets in changing working conditions.
Currently, the restoration of energy and communication networks in post-disaster power distribution systems is often considered independently, lacking effective coordination. To address this issue, this paper proposes...
Currently, the restoration of energy and communication networks in post-disaster power distribution systems is often considered independently, lacking effective coordination. To address this issue, this paper proposes a post-disaster recovery strategy for the energy-communication network of power distribution systems that involves coordinated scheduling of drone small cell (DSC) and maintenance personnel (MP). Firstly, scheduling models of DSC and MP are established to quantitatively analyze their temporal and spatial characteristics. Then, a post-disaster recovery strategy is proposed for the energy-communication network under the coordinated scheduling of DSC and MP. The energy-communication network is restored with the objective of minimizing the operating costs of the post-disaster power distribution system. The effectiveness of the proposed strategy is verified through numerical simulations based on an improved IEEE 33-node distribution network.
CS emits plasma and metal vapor towards the arc gap, which influences the interruption of VCB. In order to analyze the dynamic evolution of CS and its effect on charged particles, the observation experiments of CS and...
CS emits plasma and metal vapor towards the arc gap, which influences the interruption of VCB. In order to analyze the dynamic evolution of CS and its effect on charged particles, the observation experiments of CS and charged particles were carried out. Using cup-shaped electrode of AMF, the dynamic pictures of CS in the diffusion is shot by high-speed camera, and the distribution of CS is observed. The CS is identify by Matlab software, and the diameter, diffusion rate and quantity of the CS are obtained. The dynamic evolution of them with different breaking conditions is analyzed. The characteristic parameters of charged particles were diagnosed by colorimetric method. The 2D spatial distribution was obtained. The results indicate that the change of the quantity of CS with time is consistent with that of current waveform. The rise in the quantity of CS is related to the diffusion and split of the spots. It is observed that the evolution of CS on the electrode is not completely uniform. At the more radial outward position of the electrodes, the distance between CS is greater. The diameter and diffusion rate of CS are not constant. It is observed that charged particles density decays and fluctuates radially, and the temperature increases along the radial direction. This is related to the evolution of CS.
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