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22nd International Symposium on High Voltage engineering, ISH 2021

作者： Zhang, Yilong Yang, Dongyang Bian, Hongzhi Zhang, Jianxun Liu, Yakun Department of Electrical Engineering Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai China State Grid Fujian Construction Company Fuzhou China

ISBN: (纸本)9781839536052

Numerous wind-PV (Photovoltaic) hybrid systems have been built to make use of renewable energy and reduce carbon emission. A Wind-PV hybrid system operates in open regions and has a large lightning exposure area. When a wind-PV hybrid system is encountered with lightning, the intense transient lightning current is injected into the hybrid system and the equipment might be damaged by the overvoltage inevitably. In this work, a comprehensive model of the hybrid system is built in PSCAD. The transient overvoltage of hybrid system is calculated and analysed, and the influence of different lightning location and different cable length on the overvoltage distribution of hybrid system is studied. The results show that the peak value of transient overvoltage occurs near the lightning strike point, and other systems outside the lightning strike point are little affected by transient overvoltage. Different length of wind farm cable will affect the overvoltage at PV farm and BESS. © 2021 The Institution of engineering and Technology.

关键词： Transient analysis

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Bi-level coordinated expansion planning of high-PV-penetration active distribution networks incorporating multiple flexible resources considering WGAN-GP-based uncertainty generation

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Energy 2025年 330卷

作者： Li, Jianjing Li, Fan Sun, Kai Sun, Bo School of Control Science and Engineering Shandong University Jingshi Road 17923 Jinan250061 China Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Integrating high-penetration random photovoltaics (PVs) into the active distribution network (ADN) often causes overvoltage issues, which can even trigger ADN failures. To accommodate high-penetration PVs integration while maintaining economic efficiency and flexibility of ADN, a bi-level collaborative expansion planning model considering uncertainty generation and reduction is proposed in this paper. Based on described uncertainty scenarios of PV and load obtained by proposed Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) and K-means method, the upper level firstly configures soft open points to adjust the ADN topology, then optimizes the siting and sizing of PVs, electric vehicle charging stations, energy storage systems, and active management resources (on-load tap changers, and static var compensators) with minimum investment cost. Lower level uses multi-objective mixed-integer second-order cone programming (MISOCP) model with network loss, PV curtailment and voltage deviation of different attributes to optimize ADN scheduling. To solve this planning model, a hybrid algorithm that integrates an adaptive particle swarm optimization algorithm with SOCP is proposed, employing the technique for order preference by similarity to an ideal solution (TOPSIS) to address the multi-objective issue. Finally, the presented model was tested in the actual rural 41-bus and urban 40-bus ADN of Gansu, China, demonstrating that total costs decreased by 14.4 % and 12.5 % respectively compared to plans without active management resources. © 2025

关键词： Particle swarm optimization (PSO)

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Research on the Impact of Water-Ingression Defects on the Electromagnetic-Thermal Fluctuation and Heat Distribution Characteristics of High Voltage Cable Terminals

SSRN

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SSRN 2023年

作者： Liu, Xingmou Yang, Hui Xu, Qiqi Lin, Haibo Yang, Yongming Jadoon, Ammad Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China State Key Laboratory of Power Transmission Equipment & System Security and New Technology School of Electrical Engineering Chongqing University Chongqing University Chongqing400044 China NFC-Institute of Engineering &Technology Multan Pakistan

High voltage cable terminals (HVCT) usually work outdoors with water-ingression defect which affects the normal operation of the power system. This paper presents the study of the influence of different water-ingression depth on the temperature distribution of HVCT. Firstly, the model of EM-thermal-fluid coupling field of HVCT was established using finite element method in line with the structural parameters of YJZWC4 HVCT. Subsequently, the effectiveness of the model is then verified by comparing the operation of the model under the actual HVCT. And then, the analysis results of temperature show that the surface temperature of the HVCT at the inlet part is significantly higher than that of the insulating oil part. And The influent depth is positively correlated with surface temperature and temperature gradient. The distortion of the electric field will be more serious due to the deepening of the depth of the inlet water. Finally, the variation of temperature and field strength with the depth of inlet water is summarized by mathematical fitting method. The research results accurately reflect the electromagnetic thermal characteristics of the HVCT under the influent state and provide a reliable technical means for the state prediction and fault diagnosis of the cable terminals. © 2023, The Authors. All rights reserved.

关键词： Atmospheric temperature

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Research on Capacity Allocation and operation Scheduling of Independent Energy Storage in Electricity Spot Market

Research on Capacity Allocation and Operation Scheduling of ...

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Sustainable power and Energy Conference (iSPEC)

作者： Zihao Tian Donghan Feng Yun Zhou Shaolun Xu Ling Luo Jing Liu Department of Electrical Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Shanghai Jiao Tong University Shanghai China State Grid Shanghai Municipal Electric Power Company Shanghai China

With the deepening of China’s electricity market reform and the continuous development of energy storage (ES) technology, ES participation in the electricity market as an independent subject has become a new trend. In this paper, a bi-level optimization model of ES capacity allocation and operation scheduling is established under the background of electricity spot market. Firstly, the framework of ES participating in the electricity energy spot market and frequency regulation auxiliary service market is expounded. Secondly, the upper-level capacity allocation model is formulated with the goal of maximizing the market benefits of ES and deliver ES allocation results to the lower-level model. Then, the lower-level operation scheduling optimization model is constructed with the goal of minimizing the electricity purchase costs of the market operator and the operation results and the clearing price are fed back to the upper-level model. Finally, the feasibility and effectiveness of the proposed method are verified by a case of a coastal region in eastern China.

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Physical Passivation of Deep-Level Defect states in Polymer Dielectrics for Outstanding Dielectric Properties

SSRN

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SSRN 2023年

作者： Li, Xiao-Fen Wang, Tian-Yu Yin, Si-Jia Zhang, Gui-Xin Liu, Jian-Bo Liu, Bai-Xin School of Materials Science and Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China College of Art and Design Visual Communication Design SuZhou University Suzhou234111 China

The limited dielectric strength of polymer dielectrics hampers their reliable use in highly integrated electrical systems and high-energy storage film capacitors. This constraint is closely associated with the presence of deep-level defect states in polymer dielectrics. Here, we present an efficient and stable approach for the physical passivation of deep-level defect states aimed at enhancing the dielectric properties of polymer dielectrics. Employing inductively coupled plasma technology with argon as the carrier gas, the polymer undergoes substantial decreased deep-level defect states, as evidenced by nano-micro-region defect measurements. Consequently, the localized charge accumulation in the treated polymer dielectric is significantly reduced, resulting in a remarkable 62% increase in flashover voltage. The breakdown strength is also enhanced, and the treated material exhibits long-term stability. Moreover, materials featuring passivated deep-level defect states can boost discharge energy density without compromising efficiency. For instance, PTFE with passivated deep-level defect states maintains a discharge energy density of 1.18 J/cm3 and a charge-discharge efficiency of 95.06% at 200 °C and 300 MV/m. By focusing on deep-level defect states passivation, we introduce a strategy for receiving polymers with exceptional performance and stability. © 2023, The Authors. All rights reserved.

关键词： Passivation

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Integrated Demand Response Characteristics of Industrial Park: A Review

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Journal of Modern power systems and Clean Energy 2020年第1期8卷 15-26页

作者： Zhengqi Chen Yingyun Sun Xin Ai Sarmad Majeed Malik Liping Yang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina State Grid Economic and Technological Research Institute Co.Ltd. BeijingChina Department of Electrical Engineering National University of Sciences and TechnologyIslamabadPakistan State Grid Beijing Electric Power Company BeijingChina

With the gradual upgradation of global energy consumption and the associated development of multi-energy sources,the pace of unified energy planning and design has been accelerated and the concept of multi-energy system(MES)has been *** industrial structure of industrial park(IP)consists of production and marketing of multi-energy sources,which makes IP become an ideal application scenario for *** coupling between multi-sources raises the complexity level of IP,which requires the demand side analysis in IP as it enables customers to actively participate in energy planning and *** paper presents the concept and operation strategies of integrated demand response(IDR),and its model classification is analyzed in *** model and IDR with varying time period are studied in IP to determine their impacts on the system.A detailed survey of different techniques in both operation strategies and model classification is presented and the classification is based on pros and ***,key issues and outlooks are discussed.

关键词： Industrial park(IP) multi-energy system(MES) integrated demand response(IDR) integrated direct load control(IDLC) demand side management(DSM) demand side comfort index

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Research on Fault Early Warning of Wind Turbine Pitch system based on Long Short-Term Memory Neural Network

Research on Fault Early Warning of Wind Turbine Pitch System...

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2021 China Automation Congress, CAC 2021

作者： Li, Xiongwei Lv, Guanghua Zhu, Runze Li, Gengda Lin, Zhongwei Wang, Wenbin Cui, Qingru China Energy New Energy Technology Reserch Institute Co. Ltd Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control Computer and Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781665426473

To reduce the downtime of wind turbine caused by the fault of pitch system that usually has a high failure rate, a fault early warning method based on long short-term memory (LSTM) neural network is proposed. According to the operation characteristics of the pitch system, monitoring parameters recorded by SCADA, such as wind speed, generator speed, rotor speed, wind direction, pitch angle and output power, are utilized to establish the fault early warning model. Compared with the model based on BP neural network, the prediction accuracy of the LSTM model is effectively improved. The weights and thresholds of the LSTM neural network are optimized, and a reasonable threshold is set to determine the fault early warning criterion for the pitch system. To verify the effectiveness of the proposed method, the LSTM model is applied to the fault early warning for a 1.5MW wind turbine pitch system. The results show that the LSTM model can give early warning about two and a half days before the fault occurs, verifying the feasibility of the proposed method. © 2021 IEEE

关键词： Wind turbines

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Weak Coupling Effects in the PLL Modes of Grid-Following PMSG Wind power systems

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IET Renewable power Generation 2025年第1期19卷

作者： Cui, Xumeng Chen, Lei Hou, Kaiyuan Min, Yong Wang, Kefei Xu, Fei Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China State Grid Northeast China Branch Shenyang China

Small-signal synchronisation stability is a critical issue of grid-connected permanent magnet synchronous generator (PMSG) wind power systems employing grid-following voltage source converters (VSCs). While most studies simplify the system by modelling multiple VSCs as a single unit to analyse oscillations caused by VSC-grid interactions, few have examined interactions among VSCs. This paper proposes the cross-synchronising coefficient to quantify these interactions and applies it to analyse small-signal synchronisation stability in multi-PMSG wind power systems. When considering only PLL, the cross-synchronising coefficient is analytically derived and generally small, or even zero, indicating weak coupling between the synchronisation dynamics of different grid-side converters. Unlike strong synchronising interactions among nearby synchronous generators, the interaction between the PLL dynamics of PMSG converters remains weak even at short electrical distances. When outer control loops are included, the interaction increases but remains moderate. These findings suggest that the weak coupling of PLL modes in PMSG wind power systems allow for independent stability analysis and control design. Simulation results validate the theoretical analysis, offering insights into the small-signal synchronisation stability of PMSG wind power systems. © 2025 The Author(s). IET Renewable power Generation published by John Wiley & Sons Ltd on behalf of The Institution of engineering and Technology.

关键词： Phase locked loops

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INFLUENCE OF PLL ON BROADBAND OSCILLATION UNDER WEAK GRID 10

INFLUENCE OF PLL ON BROADBAND OSCILLATION UNDER WEAK GRID

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10th Renewable power Generation Conference, RPG 2021

作者： Ren, Yina Liu, Hui Wu, Linlin Li, Yunhong Min, Yong Grid-connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory State Grid Jibei Electric Power Co. Ltd. Research Institute North China Electric Power Research Institute Co. Ltd. Beijing China Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839536069

The integration of large-scale renewable energy into the weak power grid has aroused a series of broadband oscillation problems. Converter is an important link between renewable energy and power grid, in which phase locked loop PLL) can track the phase angle and frequency of power grid. At present, the influence of PLL parameters on system stability is often studied. With the increase of PLL bandwidth, the frequency range of converter negative damping increases, and the system is prone to broadband oscillation. This paper further studies the influence of the coupling between PLL and the steady-state operation point. The converter admittance can be divided into two parts. One part is only related to the converter circuit and control, and the other affected by the interaction of PLL and the operation point. Then, the system stability is analysed according to the generalized Nyquist criterion (GNC), and the grid impedances and converter power levels required for the system stability are given. The research can provide reference for field test and operation. © The Institution of engineering and Technology.

关键词： Phase locked loops

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A Multi-Stage Stochastic Dispatching Method for Electricity-Hydrogen Integrated Energy systems Driven by Model and Data

SSRN

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SSRN 2023年

作者： Yang, Zhixue Ren, Zhouyang Li, Hui Sun, Zhiyuan Feng, Jianbing The State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400044 China The State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau 999078 China The State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China Electric Power Research Institute of Guangxi Power Grid Co. Ltd Guangxi Nanning530000 China

To balance the contradiction between economy, security, and computational burden caused by the uncertainty of the electricity-hydrogen integrated energy systems (EH-IESs), a multi-stage coordinated dispatching framework of "day-ahead deterministic dispatching - online security monitoring - intra-day flexible correction" is proposed. The flexibility of the hydrogen energy system at the source-side and load-side is fully exploited and incorporated into the day-ahead dispatching model. To online monitor the future security of the EH-IESs operation in an uncertain environment, a security monitoring method is proposed by combining deep learning and Monte Carlo simulation. The predetermined dispatching scheme may not ensure the security of system operation due to the renewable energy uncertainty. Thus, an intra-day correction method based on chance-constrained model and multi-agent deep reinforcement learning is established to determine the correction scheme. Finally, the effectiveness and adaptability of the proposed method are demonstrated using the data of two EH-IESs based on the standard IEEE 57-node and IEEE 118-node test systems. © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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