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International Conference on power Electronics and Motion control (IPEMC)

作者： Siying Chen Min Cheng Yingbiao Li Jiawei Yu Yihua Zhu Mingkang Wu Jiabing Hu Jianan Yan State Key Laboratory of Advanced Electromagnetic Technology and School of Electrical and Electronic Engineering Huazhong University of Science and Technology China Yunnan Power Grid China CSG Key Laboratory for Power System Simulation (Electric Power Research Institute China Southern Power Grid) State Key Laboratory of HVDC (Electric Power Research Institute China Southern Power Grid) National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

DC overvoltage occurs when short circuit fault exists at the receiving-end and is harmful to the safety of the system where wind farms are connected to the grid through high-voltage direct current (HVDC) transmission based on the modular multilevel converter (MMC). To address this issue, this paper first analyzed the mechanism of the DC overvoltage and innovatively proposed a strategy in which grid-forming-controlled wind farms are integrated into the AC grid through MMC-HVDC, whose sending-end applies grid-following control and constant DC voltage control. However, secondary DC overvoltage appears during the fault recovery stage and is mainly caused by the saturation of the PI controller of constant active power control. Simulations are carried out on a test with MATLAB/Simulink, and results verify the efficacy of the proposed methods in suppressing DC overvoltage that appeared during receiving-end faults and their recovery stage.

关键词： PI control Simulation power control Wind farms Robustness Wind turbines Safety

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Performance-Aware control of Modular Batteries For Fast Frequency Response

arXiv

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arXiv 2025年

作者： He, Yutong Ruan, Guangchun Zhong, Haiwang State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China Lab for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA02139 United States

Modular batteries can be aggregated to deliver frequency regulation services for power grids. Although utilizing the idle capacity of battery modules is financially attractive, it remains challenging to consider the heterogeneous module-level characteristics such as dynamic operational efficiencies and battery degradation. In addition, real-time decision making within seconds is required to enable fast frequency response. In order to address these issues, this paper proposes a performance-aware scheduling approach for battery modules to deliver fast frequency response (FFR) support. In particular, the conduction loss and switching loss of battery packs as well as converters are captured within a mix-integer quadratic constrained program (MIQCP). The cycle-based aging model identifies the aging cost of battery modules during frequent cycling by introducing the aging subgradient calculation and linearization. Case studies based on real-world battery data show that the proposed scheduling approach can effectively reduce power loss cost by nearly 28%-57% and battery aging cost by 4%-15% compared to conventional methods, which can also enhance the SoC balance. Copyright © 2025, The Authors. All rights reserved.

关键词： Battery management systems

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Low-Carbon Optimization Dispatch of Multi-Integrated Energy system Based on Kriging Metamodel and Stackelberg Game

Low-Carbon Optimization Dispatch of Multi-Integrated Energy ...

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IEEE PES Asia-Pacific power and Energy engineering Conference (APPEEC)

作者： Zhaoqing Zhang Yonghui Sun Fan Sheng Chenxu Yin Denis N. Sidorov Alexey B. Iskakov School of Electrical and Power Engineering Hohai University Nanjing China Melentiev Energy System Institute Russian Academy of Sciences Irkutsk Russia School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Trapeznikov Institute of Control Sciences Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Integrated energy system (IES) is an advanced configuration that combines electrical energy, thermal energy, and renewable energy, into a unified system. In recent years, the architecture of IES has gradually changed from vertical integration to interactive competition, and its distributed characteristics have become increasingly evident. Therefore, traditional centralized optimization strategies can no longer meet the current practical situation. In this paper, a low-carbon optimization dispatch for IES based on Stackelberg game and kriging metamodel is proposed. In order to address this problem, firstly, three typical models containing hydrogen blending gas technology and a kind of ladder-type carbon trading mechanism considering reward and punishment (RP-LCTM) are established. Secondly an integrated energy manager (IEM) is introduced and a Stackelberg game model with the IEM as the leader and three typical IESs as followers is established. Finally, the kriging metamodel is used to optimize the transaction electricity price. During the game process, the IPSO algorithm is used to optimize electricity prices in key price regions. At last, an experimental example is utilized to demonstrate the effectiveness of the proposed method.

关键词： Renewable energy sources Electricity Hydrogen Fitting Games Emissions trading Optimal scheduling Optimization Thermal energy

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A Lightweight Multi-Modal Model for Short-Term Solar Irradiance Prediction Based on Knowledge Distillation Strategy

SSRN

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SSRN 2023年

作者： Zhang, Yunfei Shen, Jun Li, Jian Chen, Xu Liu, Danyang School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Solar energy plays an important role in the future energy system. However, the inherent uncertainty of solar energy brings great difficulties to the grid connection and short-term energy planning and dispatching. Deep learning method makes it possible to predict the short-term solar energy with its powerful learning ability, but its huge training process and parameter adjustment bring difficulties to the actual deployment. Therefore, this paper proposes a new lightweight multi-modal model for short-term solar irradiance prediction based on knowledge distillation strategy, which greatly reduces complexity while ensuring acceptable accuracy, facilitating actual deployment. Firstly, a teacher model with multi-modal inputs based on the Informer framework is built to guide the student model. Then, the student model with knowledge distillation is constructed to obtain a lightweight model with the same input but greatly reduced trainable parameters. The complexity of lightweight model and the optimal settings of loss function and its ratio in knowledge distillation are studied. Results show that the lightweight model can reduce the trainable parameters and inference time by 97.7% and 52.5%, respectively. The normalized root mean square error is reduced by 24.87% compared with the student model without knowledge distillation, verifying the effectiveness of proposed method. The soft loss uses the student loss, and the ratio of the soft loss is 0.3, which can obtain the best training results for the lightweight model. The structure with 3 residual blocks and 3 LSTM layers is proved to be the best for the lightweight model in the solar irradiance prediction task. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Unraveling Plasma Characteristics and Breakdown Mechanism in Nanosecond Pulsed Dielectric Barrier Discharge

引用

IEEE Transactions on Dielectrics and Electrical Insulation 2025年

作者： Li, Mengbo Chen, She Cui, Yingzhe Wang, Qiao Liu, LinLin Zhou, Xuan Zhuang, Chijie Wang, Feng Hunan University College of Electrical and Information Engineering Changsha410082 China Department of Electrical Engineering Tsinghua University Beijing100084 China China Electric Power Planning & Engineering Institute Beijing100120 China School of Electric Power South China University of Technology Guangzhou510641 China State Key Laboratory of Disaster Prevention & Reduction for Power Grid Changsha University of Science & Technology Changsha410114 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Nanosecond-pulsed dielectric barrier discharges (DBDs) have gained significant attention for its promising applications in various fields. More systematic investigations are necessary to better understand the fundamental processes of pulsed DBD. In this study, the characteristics and the initial breakdown mechanism of atmospheric nanosecond-pulsed DBD are investigated. The Electric Field-Induced Second Harmonic (E-FISH) technique is employed to investigate the electric field within the discharge gap. Additionally, the effects of pulse amplitude and pulse repetition rate on discharge characteristics, particularly the electric field, are analyzed. The results indicate that an increase in pulse amplitude leads to higher breakdown currents and a more pronounced reverse electric field peak, whereas the pulse repetition rate has a minimal effect on discharge behavior. A two-dimensional fluid model is developed to simulate discharge dynamics and analyze the spatiotemporal evolution of particles. Based on both experimental and simulation results, the discharge process is characterized by three distinct stages: Stage I (discharge breakdown), Stage II (surface charge accumulation), and Stage III (surface charge neutralization). The breakdown mechanism is further elucidated by examining the role of residual charges near the dielectric layer, which enhance the local electric field and facilitate the generation of secondary electrons, leading to ionization and subsequent discharge establishment. © 2025 IEEE.

关键词： Dielectric barrier discharge

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The Bandwidth Verification of VHF Antenna and Apply for Partial Discharge Measurement

The Bandwidth Verification of VHF Antenna and Apply for Part...

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2022 9th International Conference on Condition Monitoring and Diagnosis (CMD)

作者： Kittisak Thungsook Norasage Pattanadech Phethai Nimsanong Chissanupong Srinangyam Electrical Engineering Dept. School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Power System Control Dept. Power System Operation and Control Section 2 Metropolitan Electricity Authority Bangkok Thailand

ISBN: (数字)9784886864314

ISBN: (纸本)9781665470155

This research explains the bandwidth verification and application of the VHF antenna for partial discharge measurement. Three different VHF antennas were used for the experiment. In the research, the measuring bandwidth of such antennas was evaluated using a network analyzer. The antenna properties such as return loss and voltage standing wave ratio were analyzed. Then, the partial discharge in the air was simulated using the surface discharge model. The physical phenomena of PD occur like pulse current transients and electromagnetic waves. The pulse current transients were detected using a coupling capacitor and HFCT sensor, while the electromagnetic wave was detected using a VHF antenna. five test positions of the VHF antenna were designated for partial discharge measurements namely 1, 2, 3, 4, and 5 meters away from the partial discharge source. The PRPD pattern, PD magnitude, and waveform obtained from the VHF antenna were compared with coupling capacitors and HFCT sensors and presented in this paper. It is found that the VHF antenna, which has higher return loss and lower voltage standing wave ratio, provides high performance to detect the electromagnetic wave of partial discharge.

关键词： Antenna measurements Partial discharge measurement Partial discharges Couplings Surface waves Electromagnetic scattering Capacitors

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P2P transaction method for distributed energy prosumers based on reputation value

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Global Energy Interconnection 2023年第3期6卷 308-323页

作者： Tao Jiang Ting Hua Hao Xiao Linbo Fu Wei Pei Tengfei Ma Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012P.R.China Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190P.R.China School of Electronic Electrical and Communication Engineering(EECE)University of Chinese Academy of SciencesBeijing 100049P.R.China

Adding a reputation incentive system to peer-to-peer(P2P)energy transactions can encourage prosumers to regulate their trading behavior,which is important for ensuring the efficiency and reliability of P2P *** study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value ***,the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value,and a reputation incentive model of P2P transactions for prosumers was ***,the penalty coefficient was applied to the cost function of the prosumers,and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was ***,the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function,and the Nash equilibrium solution of the game was obtained via a relaxation ***,the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation *** results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P *** can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.

关键词： P2P Prosumer Non-cooperative game Reputation value Multi-agent of interest Operation optimization

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An Efficient power system Risk Identification Method Considering PMU Bad Data

An Efficient Power System Risk Identification Method Conside...

引用

Sustainable power and Energy Conference (iSPEC)

作者： Yin Wang Jieling Li Mingshun Liu Dongxu Chang Lingzi Zhu Liweiyong Guo Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guiyang China School of Electrical Engineering Chongqing University Chongqing China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

The phasor measurement unit (PMU) is widely employed in modern power systems, which enables real-time power system status monitor and risk identification. However, the bad data caused by PMU failure may mislead the risk identification. This paper proposes an efficient power system risk identification method considering PMU bad data. First, this paper describes the risk identification problem based on the analysis of the characteristics of PMU bad data and the power system contingency events. Then, the Teager-Kaiser energy operator with the 3Sigma criterion is proposed for the initial PMU anomaly data screening. Next, based on the difference between the bad data and the contingency events, the Pearson correlation coefficient is adopted for the calculation of the spatial similarity. Finally, a local outlier probability algorithm is presented to analyze the metrics. Case studies are carried out on IEEE 39 and IEEE 118 systems. Results demonstrate that the proposed method has an efficient risk identification accuracy with PMU abnormal data.

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SiC MOSFET Crosstalk Modelling with Suppression Considering Impacts of dv/dt and di/dt

SiC MOSFET Crosstalk Modelling with Suppression Considering ...

引用

International Conference on power Electronics (ICPE)

作者： Wenhao Xie Shiqi Ji Zhengming Zhao Xin Mo Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University China Tsinghua Sichuan Energy Internet Research Institute China

Compared to Si IGBTs, SiC MOSFETs can reduce switching losses, achieve higher switching frequencies and enable smaller converter size. However, due to the high dv/dt of SiC MOSFETs, certain topologies, such as two SiC MOSFETs in a phase-leg configuration, are highly sensitive to crosstalk, which can slow down switching speed and even reduce gate oxide’s lifetime. In this paper, an accurate model of crosstalk is established by considering the impacts of both dv/dt and di/dt in the power loop. The proposed model can simulate the gate-source voltage on bare die of SiC MOSFETs, allowing for a more accurate evaluation of the impact of crosstalk. Model verification is implemented using a double pulse test (DPT) platform and a gate driver with active miller clamp technology. Key parameters of the model are extracted from both 3D simulation models and measurement experiments. The DPT waveform of power loop is used as the excitation source in the simulation, and the simulated gate-source waveform shows good agreement with the experimental waveform. Based on the model, parameter sensitivity analysis is performed, and suggestions for improving crosstalk suppression are proposed.

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Sharing Mobilized Energy Storage for Temporal-Spatial Coordination of Transportation and power systems

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Journal of Modern power systems and Clean Energy 2024年第3期13卷 892-903页

作者： Yuhang Ding Xinjiang Chen Guangchun Ruan Gengyin Li Ming Zhou Jiang Dai Jianxiao Wang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China State Grid Hangzhou Lin'an District Power Supply Company Hangzhou China Department of Industrial Engineering and Management College of Engineering Peking University Beijing China Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA Power Dispatching and Control Center Guizhou Power Grid Company Guiyang China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing China

Mobilized energy storage (MES) can provide a variety of services for power systems, including peak shaving, frequency regulation, and congestion alleviation. In this paper, we develop an MES sharing approach based on temporal-spatial network (TSN) toward systemwide temporal-spatial flexibility enhancement, specifically in which the heavy-duty vehicles can exchange batteries at the energy storage stations connected with power grids. To achieve the temporal-spatial coordination of transportation and power systems, we propose a coordinated scheduling model. A decentralized algorithm based on the improved optimality condition decomposition (OCD) algorithm is proposed to address the information asymmetry between transportation and power systems while enhancing computational efficiency. Case studies based on IEEE 30-/118-bus and transportation systems demonstrate that MESs using the proposed approach can significantly improve the utilization of batteries while reducing operating costs by over 40% compared with stationary energy storages (SESs).

关键词： Transportation power systems Batteries Planning Costs power grids Uncertainty

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