Jinyu Wen’s research while affiliated with Huazhong University of Science and Technology and other places

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Publications (461)


Online assessment of frequency support capability of the DFIG-based wind farm using a knowledge and data-driven fusion Koopman method
  • Article

January 2025

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1 Read

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1 Citation

Applied Energy

Yimin Ruan

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Qihang Zong

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[...]

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Jinyu Wen


Energy-Utilizing Frequency Support for MMCMTDC System Integrating Asynchronous Grids

December 2024

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7 Reads

IEEE Transactions on Energy Conversion

This paper proposes an energy-utilizing frequency support method for modular multilevel converter-based multiterminal high voltage direct current (MMC-MTDC) system to participate in the frequency regulation of connected AC grids. By coordinating the energy reserves in asynchronous AC grids as well as MMC capacitors, the proposed method achieves comprehensive frequency support performance adaptive to different load disturbance conditions. Firstly, a disturbance identification algorithm is developed to precisely recognize the load disturbance degree and location. Then, an inertia control is developed for minor load disturbances to offer inertia support by only using the MMC energy. For major load disturbances, the energy in both asynchronous AC grids and MMC capacitors is utilized to avoid severe frequency deviation. Furthermore, a supplementary DC voltage-energy control is designed to increase the MMC energy utilization, thereby improving the frequency support performance. Finally, the simulations in an MTDC system integrated with four asynchronous grids are carried out to verify the effectiveness and robustness of the proposed method.





Fig. 1. Overall technical scheme of VSC-UHVDC for large-scale renewable energy transmission.
Fig. 4. Impedance characteristic of converter with voltage single-loop control.
Fig. 5. Impedance frequency characteristic of converter under different proportional coefficients.
Fig. 6. Influence of voltage feedforward on impedance characteristics of converter with double-loop control.
Fig. 7. Impedance characteristics of VSC with voltage coordinated optimization control.

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Mid- and High-Frequency Resonance Characteristics and Suppression Strategies of VSC-UHVDC for Large-Scale Renewable Energy Transmission
  • Article
  • Full-text available

November 2024

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6 Reads

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1 Citation

Journal of Modern Power Systems and Clean Energy

Mid- and high-frequency resonance (MHFR) is highly likely to occur at the sending end of voltage source converter-based ultra-high voltage direct current (VSC-UHVDC) for large-scale renewable energy transmission. It is of great importance to investigate the resonance characteristics and the corresponding suppression strategies. Firstly, this paper introduces the overall control scheme of VSC-UHVDC for large-scale renewable energy transmission. Then, the impedance models of VSC under grid-forming control with AC voltage coordinated control are established. The mid- and high-frequency impedance characteristics of VSC-UHVDC are analyzed. The key factors affecting the impedance characteristics have been revealed, including the AC voltage control, the voltage feedforward, the inner current loop, the positive-sequence and negative-sequence independent control (PSNSIC), and the control delay. The MHFR characteristics at the sending-end system are analyzed in the whole operation process, including the black start and the normal power transmission operation. An integrated control scheme is proposed to address the MHFR problems. Finally, extensive case studies are conducted on a planned VSC-UHVDC project to verify the theoretical analysis.

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Continuous Approximate Dynamic Programming Algorithm to Promote Multiple Battery Energy Storage Lifespan Benefit in Real-Time Scheduling

November 2024

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54 Reads

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1 Citation

IEEE Transactions on Smart Grid

This paper aims to promote the lifespan benefit of multiple battery energy storage (BES) in real-time scheduling. An effective real-time scheduling model is formulated with the proposed concept of multiple BES (MBES) comprehensive lifespan benefit, which makes a tradeoff between MBES short-term operation and long-term profits. Then, a novel piece-wise linear function (PLF) based continuous ADP (PLFC-ADP) algorithm is proposed to optimize the scheduling model under uncertainties. A new decomposed value function approximation method employing both BES state of charge and BES cumulative life loss is proposed to achieve high optimality and wide applicability. Combined with the difference-based decomposed slope update method to train the PLF slopes with empirical knowledge, the proposed PLFC-ADP algorithm can handle the increasing computation complexity of MBES scheduling and obtain the approximate optimality of stochastic real-time scheduling. Numerical analysis demonstrates the validity of the proposed scheduling model, and superior computation tractability and solution optimality of the proposed PLFC-ADP algorithm.


Distributed Adaptive Leaderless Consensus Control of Wind Farm for Fast Frequency Support

October 2024

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27 Reads

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3 Citations

IEEE Transactions on Industrial Electronics

The frequency support capability of each wind turbine (WT) within a wind farm varies based on factors such as location, wind direction, operating conditions, and wake effect. To fully utilize the frequency support capability of a wind farm, output power should be allocated to each WT based on its individual states. This article proposes a distributed adaptive leaderless consensus control (DALC) scheme for wind farms to achieve fast frequency support. The leaderless consensus algorithm is utilized among WTs to exchange operating information with neighbors and ensure reasonable power allocation. Additionally, frequency regulation coefficients adaptively change to ensure safe WT operation. After the frequency support stage, a preset recovery control is proposed to alleviate the second frequency drop (SFD) during the restoration stage. Case studies are conducted based on a two-area power system using MATLAB/Simulink and opal-RT real-time simulation platforms. Simulation results demonstrate the effectiveness and universality of the proposed DALC control scheme in both over-frequency and under-frequency events. Furthermore, the proposed control is found to be more reliable than leader-follower consensus-based control in the event of communication failure.


Capacity Design of Cascaded Diode Rectifier-MMC Based HVDC for Offshore Wind Farm Integration

October 2024

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6 Reads

IEEE Transactions on Power Delivery

The cascaded diode rectifier (DR)- MMC based HVDC system is recognized as a promising topology for integrating offshore wind farms. However, the capacity design of DR-MMC remains an unsolved challenge. This paper proposes a capacity design method based on operating region (OR) analysis. First, the analytical models of DR-MMC with V - F grid-forming (GFM) control are established, revealing its operating characteristics. Then, considering multiple constraints, the OR of DR-MMC is calculated. The impact of different MMC capacities on OR is analyzed, highlighting that a system with a low MMC capacity ratio may be incapable of covering its full active power range. Hence, a three-layer GFM control utilizing MMC DC voltage is proposed, enabling operation under a lower MMC capacity ratio. Then, an optimal MMC capacity ratio is determined by balancing the system stability margin and economic considerations. Finally, the effectiveness of the designed MMC capacity with the proposed three-layer GFM control is validated by stability analysis and simulations in PSCAD/EMTDC.


Citations (54)


... In addressing the frequency restoration problem, where = and = denote the input and output, and ≠ 0 in di = 0 in = ( ) + , the feedback linearization procedure is applied [61,62]. ...

Reference:

Finite-Time Control Scheme for Effective Voltage and Frequency Regulation in Networked Microgrids
Online assessment of frequency support capability of the DFIG-based wind farm using a knowledge and data-driven fusion Koopman method
  • Citing Article
  • January 2025

Applied Energy

... The safety risk factors of the modern digital and intelligent power system include new flexible resources such as distributed energy resources and electric vehicles [1,2], extreme weather disasters [3,4], and cyber attacks [5,6]. Among these, extreme weather disasters can cause power grid equipment outages, leading to load shedding and even system splitting issues, which have garnered widespread attention from researchers [7]. Current research primarily focuses on equipment failure analysis [8,9], the identification of critical vulnerable equipment [10], and system risk assessment under extreme weather conditions such as typhoons, extreme heat, and cold waves [11][12][13]. ...

Supply Resilience Constrained Scheduling of MEGs for Distribution System Restoration: A Stochastic Model and FW-PH Algorithm
  • Citing Article
  • January 2024

IEEE Transactions on Smart Grid

... Currently, more and more power generators, in addition to participating in the abovementioned energy markets for profit, are beginning to focus on transactions in auxiliary service markets [17,18]. Li et al. [19] propose a method to optimize peak modulation and frequency regulation in auxiliary service markets by dynamically dividing independent ES zones. ...

Incentive-Compatible Primary Frequency Response Ancillary Service Market Mechanism for Incorporating Diverse Frequency Support Resources
  • Citing Article
  • July 2024

Energy

... The ESS charging/discharging patterns, rates, and states of charge (SoC) are heavily influenced by the power scheduling in microgrids [7]. While many existing methods focus on short-term revenues [5], they often overlook the long-term impacts on the ESS lifespans. ...

Continuous Approximate Dynamic Programming Algorithm to Promote Multiple Battery Energy Storage Lifespan Benefit in Real-Time Scheduling

IEEE Transactions on Smart Grid

... Moreover, although the CTDE-based MADRL method can effectively solve the non-stationarity and partially observability problems in multi-agent training, it is difficult to effectively address the challenges of credit assignment and coordination. In [30], the authors propose a deep multi-task multi-agent reinforcement learning (MT-MARL) framework, which overcomes the credit assignment problem and realize task-level coordination among multiple agents. The multi-task multi-agent soft actor-critic (MTMA-SAC) method is also proposed in this work based on the MT-MARL framework to learn the optimal joint bidding and pricing strategy of pricemaker load serving entities in the energy market. ...

Deep Multi-Task Multi-Agent Reinforcement Learning Based Joint Bidding and Pricing Strategy of Price-Maker Load Serving Entity

Power Systems, IEEE Transactions on

... To the best of the authors' knowledge, the majority of CT studies in the field of power system operation are concerned with economic dispatch and unit commitment problems, mostly on TNs [18]- [21]. None, or at least quite a few, of the studies have worked on a reliable CT assessment of TDI flexibility for FDNs. ...

Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch
  • Citing Article
  • September 2024

IEEE Transactions on Smart Grid

... With the growing public concern over global warming and sustainable development, electric vehicles (EVs) have become increasingly vital in the forthcoming energy transition and the electrification of transportation [1]. In March 2024, the European Union updated its Green Deal, which includes enhanced subsidies for EVs purchases, further accelerating cases of thermal runaway incidents in EVs are presented in table 1. Thermal runaway in EVs lithium-ion batteries primarily occurs during parking, driving, charging, collisions, and liquid leakage, with the incident proportions illustrated in figure 1 [5]. ...

Early Warning for Thermal Runaway in Lithium-Ion Batteries during Various Charging Rates: Insights from Expansion Force Analysis
  • Citing Article
  • May 2024

Journal of Cleaner Production

... Based on this finding, they proposed a fast and high-confidence battery fault detection method, which can realize early warning of multiple faults. In addition, Li et al. [ 2 ] experimentally investigated the external expansion force, voltage and temperature behavior of batteries at different SOC (state of charge) under thermal abuse scenarios. They found that the expansion force, voltage and temperature parameters of Li-ion batteries change significantly under thermal abuse conditions, and these changes can be used as an important basis for determining the degree of danger of battery failure. ...

Implementing expansion force-based early warning in LiFePO4 batteries with various states of charge under thermal abuse scenarios
  • Citing Article
  • May 2024

Applied Energy

... Specifically, recent research has focused on the potential utilization of G-H 2 to convert bioresources, considering the variability in G-H 2 availability [10]. Additionally, hydrogen from water electrolysis and biomass gasification have been proposed as solutions to stabilize G-H 2 production, ensuring the continuous production of hydrogen [11]. The Power-to-X concept has also been applied to pyrolysis oil upgrading, producing marine fuels at a cost of approximately 120-170 EUR/ton (EUR/t) [12]. ...

Optimal scheduling of hydrogen energy hub for stable demand with uncertain photovoltaic and biomass
  • Citing Article
  • April 2024

Applied Energy

... A plethora of researches have emerged based on this type of attack [14][15][16][17][18]. Unlike FFI, in FLI, the transient stability of some samples in TSA datasets is tampered with, leading to poor generalization performance. Unfortunately, there is a relatively limited research on FLI in the area of TSA [19]. Indeed, due to the destructive impact on neural network performance, FLI has garnered the attention of machine learning researchers. ...

Two-stage weakly supervised learning to mitigate label noise for intelligent identification of power system dominant instability mode
  • Citing Article
  • April 2024

Applied Energy