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Energy, electrical and power Engineering (CEEPE), International Conference on

作者： Heming Yan Feng Ji Hui Pang Wenxuan Jia Chang Lin Xiangyu Pei State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing China The college of Electrical and Electronic Engineering North China Electric Power University Beijing China Beijing Key Laboratory of DC Grid Technology and Simulation State Grid Smart Grid Research Institute Co. Ltd. Beijing China

The large-scale grid connection of wind power brings challenges to the frequency stability of the power system, the system inertia decreases, the frequency regulation capability deteriorates, and the traditional wind turbine is difficult to meet the frequency regulation demand of the system. To address the problem of slow response of existing wind turbines participating in frequency regulation, this paper proposes a control method for permanent magnet direct-driven wind turbines participating in fast frequency response of the grid, based on power electronic converters equipped with electromagnetic level control speed to rapidly change the electromagnetic torque of the wind turbine rotor according to the system frequency change, increase or decrease the wind turbine speed to fully utilize the stored or released rotational inertia and achieve fast power regulation of the wind turbine. The results of the frequency step simulation of the permanent magnet direct-driven synchronous wind power system show that the fast frequency regulation response time of the control method proposed in this paper can reach the millisecond level.

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Misalignment Tolerance of Inductive power Transfer Coupler with Low Loss and High Magnetic Induction Ferromagnetic Materials

Misalignment Tolerance of Inductive Power Transfer Coupler w...

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2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

作者： Kang, Jinping Cheng, Shaoyu Wang, Yubo Zhang, Xueying Yang, Fuyao Xu, Guorui Eldeeb, Hassan H. Zhao, Haisen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China State Grid Smart Grid Research Institute Co. LTD. State Key Laboratory of Advanced Power Transmission Technology 102211 China Noblesville Technical Center of BorgWarner Inc. NoblesvilleIN United States Florida International University Department of Electrical and Computer Engineering MiamiFL33174 United States

ISBN: (纸本)9781665478151

In an inductive power transfer (IPT) system, various magnetic materials have difference characteristics in enhancing the degree of coupling and misalignment tolerance between the primary and secondary coils. However, the iron losses in ferromagnetic materials may decrease the transfer efficiency of the IPT system significantly. Therefore, in this study, performance and misalignment tolerance of IPT systems with four types of ferromagnetic materials are investigated. Firstly, an equivalent circuit model of the IPT system is established and the variations of system efficiency with different ferromagnetic materials are also revealed. Then, a 3-D finite element analysis (FEA) model of the magnetic coupler is established. In addition, loss test platform is established to obtain the accurate loss coefficients. Finally, the transfer efficiency and magnetic field distributions are both investigated. The results show that the high efficiency and magnetic flux density can be achieved when nanocrystalline core with vertical laminations is used. © 2022 IEEE.

关键词： Ferromagnetic materials

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Transient Stability Analysis of Paralleled VSGs Considering Damping Effect

Transient Stability Analysis of Paralleled VSGs Considering ...

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power Electronics and Application Symposium (PEAS), IEEE International

作者： Qiannan Qu Jintao Lei Aminfu Xin Xiang Wuhua Li Xiangning He College of Electrical Engineering Zhejiang University Hangzhou China Inner Mongolia Key Laboratory of Smart Grid of New-type Power System Inner Mongolia Power Research Institute Hohhot China

In this paper, the paralleled VSGs system's transient stability is researched with consideration of large damping effects introduced by VSG. Firstly, the paralleled model considering damping items is established, and relative motions in uniform and nonuniform damping cases, are described by second-order and third-order model, respectively. On this basis, the behavior of linear system at SEP and UEP is firstly investigated with different damping selected, and it's found the stable trajectory may exceed UEP during transient process. Furthermore, the transient stability is discussed for uniform damping cases and nonuniform ones, separately. It's found the damping items affect the equivalent parameters of swing equations, which further infect the transient stability. Besides, time-domain method is adopted for nonuniform damping system, and three instability modes are discovered with damping coefficients vary. This paper shows that the damping effect introduced by VSGs have a great impact on paralleled system's transient behaviors.

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power Transformer Health State Prediction Based on Multi-attention Coupling Learning

Power Transformer Health State Prediction Based on Multi-att...

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China International electrical and Energy Conference (CIEEC)

作者： Peng Zhang Jinrui Gan Chunpeng Wu Peng Wu Bo Qi Fei Zhou State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd. Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

Transformer is the key apparatus of the power system, and its operational reliability is directly related to the stability of the power grid. Accurately predicting the future health state of transformers can reserve enough time for formulating outage maintenance and power dispatching plans. The existing transformer health state prediction methods are based on the structure of “predict-diagnose”, which is the superposition of two local optimal methods, with error superposition. To fill this gap, a transformer health state prediction method based on multi-attention coupling learning is proposed in this paper. The “situational quantity” integrating the transformer operation state change relationship, the correlation relationship between state quantities, the mapping relationship between the state quantity and the state, the fuzzy relationship between the evaluation result and the actual state, and the traditional expert experience is proposed. Then, the structural optimization attention (SOA) model applicable to “situational quantity” is proposed, and various relationships are treated as individual attention. All kinds of attention are coupled and constrained in the SOA to realize the unification of the prediction process and diagnosis process, obtain the global optimization of prediction and diagnosis, and the problem of error superposition is solved. The actual fault case verification results show that the accuracy of the proposed SOA prediction model can reach 96.33%, which is significantly better than the traditional methods.

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Sensing and Communication Integrated Optimization for Multi-Spectral Electric Equipment Monitoring

Sensing and Communication Integrated Optimization for Multi-...

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IEEE International Symposium on Broadband Multimedia systems and Broadcasting (BMSB)

作者： Zijia Yao Zhao Wang Zhifeng Zhang Yiling Shu Haijun Liao Zhenyu Zhou State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Electric Power Intelligent Sensing Technology Laboratory of State Grid Corporation State Grid Smart Grid Research Institute Co. Ltd Beijing China

Electric equipment monitoring is essential to ensure the secure operation and maintenance in high-voltage substations. To support accurate electric equipment monitoring, multi-spectral technology is emerging as an advanced method. Unmanned aerial vehicle (UAV) equipped with multi-spectral imaging camera can provide intelligent monitoring through the data sensing and communication. In this paper, we focus on the integrated sensing and communication joint optimization problem. The objective is to maximize the average amount of image data sensed by UAV through jointly optimizing sensing and communication, i.e., image acquisition frequency, image depth, and transmission power. We propose a deep Q network-based integrated sensing and communication joint optimization algorithm for multi-spectral electric equipment monitoring named DIGITAL to solve it. DIGITAL can learn optimal monitoring strategy under complex and dynamic environment of high-voltage substations. Moreover, DIGITAL also realizes energy awareness through the dynamic adjustment of optimization strategy based on energy consumption as well as harvested energy. The superiority of DIGITAL is verified through simulations.

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Analysis and Solution of Zero-Sequence Circulating Current and Neutral Point Potential Balance in Parallel 3L-ANPC Converters

Analysis and Solution of Zero-Sequence Circulating Current a...

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power Electronics and Application Symposium (PEAS), IEEE International

作者： Hongzhou Chen Cong Chen Xin Xiang Aminfu Wuhua Li Xiangning He College of Electrical Engineering Zhejiang University Hangzhou China Inner Mongolia Key Laboratory of Smart Grid of New-type Power System Inner Mongolia Power Research Institute Inner Mongolia China

In order to meet the higher demand for renewable energy storage system, modular parallel connection three-level converters are widely adopted. The parallel operation introduces circulating currents and the deviation of neutral point (NP) potential increases the complexity of circulation problems. This paper concerns both the ZSCCs and the NP potential deviation in parallel three-level converter system. Specific expressions of ZSCCs and NP potential deviation with SVPWM are given and it's proved that under identical working conditions, the ZSCC suppression and the NP potential balance will not have significant effect on each other. Furthermore, control strategies are given to suppress ZSCC and balance NP potential and verified in simulation and experiment.

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An Efficient power system Risk Identification Method Considering PMU Bad Data

An Efficient Power System Risk Identification Method Conside...

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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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Optimal multi-time scale coordination method for electricity-heating integrated energy system scheduling

Optimal multi-time scale coordination method for electricity...

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2020 International Conference on smart grid and Energy Engineering, SGEE 2020

作者： Lin, Zhuoran Wang, Shouxiang Wang, Shaomin Han, Aoyang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Qingdao Electric Supply Company Qingdao Shandong266000 China

Considering that different energy subsystems have different control characteristics in equipment operations, an optimal multi-time scale coordination method for electricity-heating integrated system scheduling is proposed. It merges three optimal scheduling models based on three-time scales of day-ahead, rolling, and real-time. The coordinated optimization of electricity and heating energies with the same dispatch instruction is fulfilled in day-ahead scheduling. And all feasible scheduling instruction cycles are traversed in the rolling stage to improve the stability of system economic operation. The calculation examples show that the proposed overall strategy for multi-time scale scheduling can achieve multi-energy complementarity, and the optimization results have less deviation from the actual load. © Published under licence by IOP Publishing Ltd.

关键词： Scheduling

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Active Dynamic Aggregation Model for Distributed Integrated Energy system as Virtual power Plant

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Journal of Modern power systems and Clean Energy 2020年第5期8卷 831-840页

作者： Haotian Zhao Bin Wang Xuanyuan Wang Zhaoguang Pan Hongbin Sun Zhen Liu Qinglai Guo State Key Laboratory of Control and Simulation of Power System and Generation Equipments Department of Electrical EngineeringTsinghua UniversityBeijingChina State Grid Jibei Electric Power Co. Ltd.BeijingChina

Distributed integrated multi-energy systems(DIMSs)can be regarded as virtual power plants to provide additional flexibility to the power *** paper proposes a robust active dynamic aggregation model for the DIMSs to describe the maximum feasible *** aggregation model includes the power constraints,energy constraints,and ramping constraints to aggregate different types of resources in the *** proposed generator-like and storage-like model does not depend on the ancillary service market and can be directly incorporated into the economic dispatch model of the power system.A novel algorithm based on the column-and-constraint generation algorithm and convex-concave procedure is proposed to solve the two-stage robust optimization problem,which is more efficient than the KKT-based ***,a case study of an actual DIMS is developed to demonstrate the effectiveness of the proposed model.

关键词： Aggregation distributed integrated energy system(DIMS) robust optimization virtual power plant

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In-situ Monitoring of Maximum and Average Chip Junction Temperature within Multichip IGBT power Modules Using Kelvin Emitter Voltage

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IEEE Journal of Emerging and Selected Topics in power Electronics 2025年

作者： Yang, Jianxiong Ran, Li Che, Yanbo Du, Mingxing Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Applications in Complicated System Tianjin300384 China Chongqing University State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical Engineering Chongqing400044 China University of Warwick School of Engineering CoventryCV4 7AL United Kingdom Tianjin University Key Laboratory of Smart Grid of Ministry of Education School of Electrical and Information Engineering Tianjin300072 China

Parallel configurations of power chips within a multichip IGBT power module (M-IGBT-PM) are employed to meet the required current and power ratings. When the internal chips of an M-IGBT-PM experience uneven temperature distributions and package aging, it becomes challenging to determine the maximum and average temperatures of the chips within the module. This paper investigates the relationship between four transient thermal-sensitive electrical parameters (T-TSEPs) derived from the Kelvin emitter voltage and the chip junction temperature, while establishing relevant mathematical models. It compares the sensitivity and linearity of these four T-TSEPs, and also assesses the influence of external gate resistance, bus voltage, and load current on each of them. A key innovation in this paper is the proposal of a method for monitoring the maximum and average temperatures across the chips within the M-IGBT-PM, which is not influenced by the load current. The experimental results suggest that the temperature derived from the quasi-turn-on delay time is a good approximation of the maximum chip temperature, whereas the temperatures predicted by the other T-TSEPs are nearer to the average temperature. © 2025 IEEE.

关键词： Insulated gate bipolar transistors (IGBT)

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