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International Conference on Electrical Machines and Systems (ICEMS)

作者： Yu Lan Jinhai Jiang Kai Song Fengshuo Yang Lin Sang Ke Wang Zhenjun Zhang Xuan Zhang Xuling Li School of Electrical Energineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology CO. LTD. Nanjing China

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler’s design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%.

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Distributed Continuation Power Flow for High Penetration New Energy Power grid

Distributed Continuation Power Flow for High Penetration New...

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International Conference on Power and Energy Technology (ICPET)

作者： Zemei Dai Tianhua Chen Yi Tang Jinquan Zhao State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China College of Power & Electrical Engineering Hohai University Nanjing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The high penetration of new energy integration into the power grid has highlighted the problem of voltage stability. Continuation Power Flow (CPF) is an important tool for Voltage Stability Analysis (VSA). As the scale of new energy grid integration continues to expand, the method of power equivalent modeling of the aggregated grid in the main transmission network fails due to the neglect of the network structure and new energy models. This paper proposes a distributed voltage stability assessment method for high proportion new energy grids based on Distributed Continuation Power Flow (DCPF). The proposed method decomposes the global grid at the Point of Common Coupling (PCC) into new energy Sub-grids (SGs) and the transmission Main-grid (MG), achieving distributed computation of global grid voltage stability assessment by exchanging state information at the PCC between MG and SGs. Simulation results of the global power system show that the proposed method is effective.

关键词： Couplings Simulation Computational modeling Voltage Power system stability Stability analysis Power grids Distributed computing Thermal stability Load flow

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Simulation and Verification of Sub-synchronous Oscillation from Impedance Perspective-Taking a Wind Power Base in China as an Example 6th

Simulation and Verification of Sub-synchronous Oscillation f...

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6th PURPLE MOUNTAIN FORUM on smart grid protection and Control, PMF2021

作者： Xu, Guang Zhu, Ling Li, Jianhua Huang, Zhiguang Li, Zhaowei Hou, Yuqiang NARI Technology Co. Ltd Jiangsu Nanjing211106 China East China Grid Co. Ltd Shanghai200120 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9789811671555

Recently, numerous sub-synchronous oscillations (SSO) events have occurred in many wind farms in China, which seriously threatened the power system security and stability. It is generally believed that the LC resonance between the wind farm side and the grid side with series compensation (SC) devices is one of the conditions that cause the SSO. This paper takes a real power grid as an example, reappeared the SSO events through electromagnetic simulation, analyzed the key influence factors, and proposes a strategy from impedance perspective in the end based on reasonable assumptions, in order to suppress the SSO shortly after the oscillations happened. Firstly, make off-line impedance analysis based on the deterministic grid structure, and then give the sensitivity results of each wind farm to the SSO. Finally, cut off the wind farm based on the sensitivity orders during the SSO. The simulation results were performed to verify the validity. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electromagnetic simulation

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A Coupled RTK/INS Positioning Method Based on Robust Estimation

A Coupled RTK/INS Positioning Method Based on Robust Estimat...

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第十四届中国卫星导航年会

作者： Huizhen Yu Xianliang Teng Shuguo Pan Min Zhang Jian Shen Wang Gao School of Instrument Science and Engineering Southeast University State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation

In the urban environment,the positioning results of RTK/INS integrated navigation are often influenced by grosses,which degrades the positioning accuracy and damages the stability of the navigation *** solve this dilemma,a loose coupled RTK/INS positioning method based on robust estimation is ***,during RTK positioning,for eliminating corrupted measurements caused by Non-Line-of-Sight(NLOS) signals and multipath,this paper researches the RTK positioning algorithm based on bifactor robust *** this method,the ambiguity is fixed and solved back into the Double-Difference(DD) equation in least square *** posterior residual vector is used for the bifactor robust processing to eliminate the influence of some abnormal ***,the RTK positioning results are loosely integrated with Inertial Navigation System(INS),and the robust processing based on Huber equivalent weight function is implemented in the process of the Kalman filter ***,the proposed algorithm is validated by vehicle data in a typical urban *** experimental results show that compared with the traditional least squares-based RTK,the accuracy of the bifactor RTK method is improved by 2.48 cm in the horizontal ***,in contrast with the RTK/INS method based on the single robust processing,the accuracy of the proposed robust bifactor error method in the horizontal direction is increased by 3.85 *** navigation accuracy and reliability are significantly *** dynamic environment,this research has certain theoretical reference and practical value for vehicular and autonomous driving applications.

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Research on Construction of Dispatching Knowledge Model of Power grid 5

Research on Construction of Dispatching Knowledge Model of P...

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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Qing, Zheng Dai, Zemei Zhu, Nanyang Yang, Chunxiang Si, Xiaofeng Zhang, Kaifeng Southeast University School of Automation Nanjing China Nari CO.LTD & Nari Technology CO.LTD State Key Laboratory of Intelligent Power Grid Protection and Operation Control Nanjing China State Grid GanSu Electric Power Company Gansu China

ISBN: (纸本)9781665479059

With the construction of the new power market, the tasks of dispatching operation in the power grid become more frequent, and the scenes of dispatching operation are more complicated. The existing dispatching operation system and the technology of decision in power grid cannot meet the requirements. Therefore, this work establishes a knowledge model of power grid dispatching to provide an efficient decision-making tool. This work extracts the benefits of historical operation scenarios and the regulation of dispatching of power grid, and establishes a joint knowledge model of power grid dispatching based on mining and extracting the benefits of historical operation scenarios and the regulation of dispatching of power grid by big data analysis technology and natural language processing technology. The joint knowledge model is essential for dispatcher to formulate more reasonable dispatching operations, reduce the difficulty of decision-making and lower the requirements for dispatchers, which ensures the safe operation of the power grid. © 2022 IEEE.

关键词： Analytical models Decision making Dispatching Power grids Natural language processing Data models Regulation

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Transient Performance Optimization of grid Forming Converter

Transient Performance Optimization of Grid Forming Converter

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Sichao Wang Chunpeng Li Yuexi Yang Congda Han Hanbin Zhang Junwei Huang State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing China Fujian Key Laboratory of Protection and Operation Contorl for Smart Grid State Grid Fujian Electric Power Research Institute Fuzhou China

With the increased penetration of renewable energy sources (RES), the power system is emerging a lower inertial characteristic. This can lead to a higher rate-of-change of frequency (RoCoF) and the voltage instability issue during grid disturbance conditions, thus threatening the security of the power grid. Accordingly, researchers have recently proposed a novel grid-forming (GFM) control strategy. Compared to the traditional grid-following (GFL) control method, the GFM control can emulate the dynamic behaviors of the synchronous generator (SG), inherently providing inertial support to stabilize the grid frequency and transient AC voltage. However, it may lead to abnormal transient stress, such as over/under DC voltage and AC overcurrent, raising the risk of unexpected tripping. The paper will present the operating principles of multiple types of GFM and GFL control strategies, and evaluate their dynamic performance during the grid voltage variation events. To address the issue of transient stress, the paper will propose a novel control strategy for suppressing the over/under DC voltage and AC overcurrent so that prevented disconnection of the GFM converters. The proposed method is validated with an example of PV generation scenario, and the effectiveness in improving the dynamic performance has been demonstrated by studying the frequency variation cases.

关键词： Power system dynamics Power system stability Valves Frequency conversion Stability analysis Voltage control Transient analysis

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Wind-Storage Coordinated Control Strategy for Inertia Enhancement of High Ratio Renewable Energy Power Systems

SSRN

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SSRN 2024年

作者： Shu, Hongchun Dong, Haifei Wang, Guangxue Chen, Jing Shi, Botao Tang, Yutao the State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Yunnan Key Laboratory of Green Energy and Digital Power Measurement Control and Protection Kunming University of Science and Technology Kunming650500 China

The replacement of thermal power units with renewable energy power generation equipment like wind and photovoltaics has decreased the inertia level of power systems and weakened the frequency stability of the power grid. In order to improve the inertia level of the new power systems and strengthen the inertia support capability of the renewable energy power system to the grid, a wind-storage coordinated control strategy for the inertia enhancement of high-proportion renewable energy power system is proposed in this paper. A time domain model of the inertia response of the wind-storage coordinated control system is also established. An inertia level enhancement strategy of virtual inertia and virtual sag coordinated control of wind-storage joint system is proposed. It improves the system inertia using the analysis results of system inertia requirements as data support and considering the characteristics of battery storage with fast charging and discharging response, and flexible capacity configuration. In addition, the effectiveness of energy storage system (ESS) participation in system inertia enhancement is guaranteed by proposing energy storage based on the ESS state of charge (SOC), which participates in the inertia of the new energy power system to enhance the control coefficient adaptive strategy. Finally, a comparative analysis is carried out using RTLAB simulation test to verify the effectiveness of the method proposed in this paper. © 2024, The Authors. All rights reserved.

关键词： Frequency response

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A quantitative evaluation method for the performance of primary frequency regulation of system resources

A quantitative evaluation method for the performance of prim...

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International Conference on Electronics Technology (ICET)

作者： Wu Xuelian Liu Fusuo Huang Hui Zhang Hongli Li Wei Power Grid Analysis and Consulting Department NARI Group Corporation/State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and control NARI Group Corporation/ State Grid Electric Power Research Institute Nanjing China

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

With large scale new energy power being connected to the grid, the frequency support capability of the system decreases gradually. In order to meet the regulation requirements of system frequency stability and lay the foundation for frequency stability coordination and optimization control, it is necessary to use reasonable quantitative evaluation indicators for primary frequency regulation performance. Firstly, the dynamic response characteristics of frequency modulation resources in load fluctuation scenarios and large power disturbance scenarios are analyzed separately. Then, by mastering the frequency response characteristics of the system considering primary frequency regulation in different scenarios, the key factors affecting the safety and stability characteristics of the system frequency are determined. Finally, a quantitative evaluation method for the primary frequency regulation performance of frequency modulation resources is proposed, and the applicability of the proposed evaluation method is verified based on typical scenario examples.

关键词： Performance evaluation Frequency modulation Power system dynamics Power system stability Stability analysis Regulation Power grids

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market 5

A Hybrid Simulation Study of the Herding Behavior Effects in...

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5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Chen, Xuetong Huang, Jie Jin, Shuai Zhang, Yifei Ling, HengYu NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665434256

Mitigating climate change is a global consensus. C hina is aiming to have carbon emissions peak before 2030 and ac hieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious "30 •60" target. Compliance enterprises, financial institutions, and i ndividual investors are allowed to participate in the national car bon market and the complex trading interactions among these h eterogeneous participants will make the market dynamics diffic ult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-soc ial system in energy (CPSSE), this paper constructs a hybrid si mulation environment based on the Dynamic Simulation platfor m for Macro-Energy Systems (DSMES), in order to study the he rding behavior effects on carbon market under different scenari o settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial instit utions are analyzed and constructed. Then, the herding behavio reffects are studied under different market scenario settings sue has the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based o nmulti-scenario case studies, which provide decision support fo rmarket design and regulation. © 2021 IEEE

关键词： Climate change

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A Method for Measuring Capacitive Current in Arc Suppression Coil Grounding System 2

A Method for Measuring Capacitive Current in Arc Suppression...

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2022 2nd International Conference on Energy, Power and Advanced Thermodynamic Systems, EPATS 2022

作者： Xia, Lei Wu, Hai Hu, Guo Hu, Song Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China NARI Technology Development Co. Ltd. Jiangsu Nanjing211106 China

With the rapid development of the national economy, the system cabling rate continues to improve, the system capacitive current continues to increase, and the arc suppression coil grounding method is more and more widely used. Among them, the pre adjustable turn adjustable arc suppression coil accounts for the highest proportion. How to accurately, quickly and real-time measure and calculate the capacitive current of the system is the foundation to realize the automatic tracking and compensation of the arc suppression coil, It is also the key to reliably extinguish the arc and reduce the influence range of the fault when the single-phase grounding fault occurs in the system. Based on the analysis of the variation law of the capacitive current in the distribution network neutral grounding system through the arc suppression coil, this paper proposes a new method for measuring the capacitive current based on the resonance point curve fitting, which is suitable for the pre adjustable turn adjustable arc suppression coil grounding system, and verifies its reliability and accuracy through simulation. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Curve fitting

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