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International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Shaoliang Zhou Min Zhang Jian Shen Bo Wang Xing Zhao Weinong Fu State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Co. Ltd Nanjing China School of Electrical Engineering Southeast University Nanjing China The Hong Kong Polytechnic University Hong Kong

ISBN: (数字)9781728188904

ISBN: (纸本)9781728188911

In the design and practical application of high-speed permanent magnet synchronous machine (HSPMSM), there is a multi-parameter, strongly coupled relationship between the machine and the drive. Drive harmonics have a significant impact on machine losses and thus on the overall efficiency. First, a 100kW, 60krpm machine and drive system is modelled accurately to study the strongly coupled electromagnetic field of the motor and drive. The model includes an accurate model of the slot conductor, which facilitates the calculation of AC copper loss. An electromagnetic field-circuit coupling model of the HSPMSM, which enables the study of the high coupling regulation between the machine and the drive. Second, based on the comparison between the ideal sine wave current source and the drive harmonic power supply, the effect of the drive harmonic on various losses of the machine is studied, such as AC copper loss, stator core loss, permanent magnet (PM) and sleeve eddy current loss. The laws and coefficients of the effect of drive harmonics on the various loss of the machine are obtained, which is of great significance for the design and development of HSPMSMs. It provides a useful reference for the design, development and application of HSPMSMs.

关键词： Couplings Stator cores Rotors Power system harmonics Harmonic analysis Copper Eddy currents

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Reactive Power and Voltage Coordinated control of Wind Farm for Parallel Running STATCOM

Reactive Power and Voltage Coordinated Control of Wind Farm ...

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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Xu, Lufei Chen, Tianhua Yang, Luo Chen, Jianhua Du, Lei Zhong, Hailiang NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China State Grid Ningxia Electric Power Co. Ltd. Yinchuan750001 China

ISBN: (纸本)9781728135205

To solve the reactive power and voltage coordinated control of parallel running static synchronous compensator (STATCOM) in wind farm, a reactive power and voltage coordinated control strategy is proposed based on the united control mode of voltage control and reactive power control. The strategy makes full use of the control characteristics of STATCOM fast regulation and stable voltage, the voltage of the point of common coupling (PCC) connect with power system is quickly adjusted, and optimize the dynamic reactive power which reserve in wind farm. Finally, the wind farm in china wind power cluster area is taken as an example for practical application, the practical application results verify the correctness and effectiveness of the proposed control strategy. © 2019 IEEE.

关键词： Voltage control

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Analysis and Testing of U.S.-China key Technology for Charging Interoperability of Electric Vehicles

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IOP Conference Series: Earth and Environmental Science 2021年第1期701卷

作者： X Zhang J Cui W Zhang J D Ye X L Li NARI Group Corporation/State Grid Electric Power Research Institute Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing Nanjing 211106 China

At present, China has overtaken the United states to become the world's largest new energy vehicle market. Due to differences in developmental trajectory, developmental mode, and charging standards, China and the U.S. have common interests and the foundation for cooperation, which can work together for a win-win development. Charging interoperability is the basis for ensuring charging safety and interchangeability of electric vehicles. This study examined and compared the differences between China and the U.S. in the standards for conductive AC charging of electric vehicles. The requirements for a control pilot circuit, proximity circuit, current capacity, and charging-state transition timing were analysed. Hierarchical and layered interoperability test cases based on GB/T 34657 and SAE J2953 series were presented. A dual interface interoperability test system was constructed and used to verify the test method rationale. The results provided a mutual inspection solution for AC charging equipment between China and the U.S. and accelerated global application and promotion of the electric vehicle industry.

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Energy Storage Planning and Economic Dispatch of Microgrid Considering Power to Gas

Energy Storage Planning and Economic Dispatch of Microgrid C...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Jiaqi Gu Fei Mei Jixiang Lu Jinjun Lu Bo Yang College of Energy and Electrical Enginering Hohai University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing China China Electric Power Research Institute Nanjing China

ISBN: (数字)9781728157481

ISBN: (纸本)9781728157498

New energy has been vigorously promoted for its advantages such as cleanliness, large reserves and renewability. Recently, power-to-gas (P2G) technology has provided a new idea for energy conversion, which helps to improve energy efficiency. In view of the current high penetration rate of photovoltaics, the impact of three measures with regard to energy conversion, energy storage configuration and demandside response on the economics of the microgrid and the optimal scheduling of the microgrid are explored. Firstly, a microgrid scheduling model with P2G device is built; Secondly, a bi-level planning model for the economic cost of the microgrid scheduling is presented. The upper layer will be based on absolutely accommodation of photovoltaics as the prerequisite to conFigure the optimal energy storage capacity; Then lower layer performs optimized scheduling under the upper model to ensure the economy of the microgrid. Finally, a comparison example is used to analyze the optimal energy storage capacity in different scenarios and an optimized scheduling scheme is given.

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Unreasonable reactive power flow of traditional SVC and a novel SVC model against it

Unreasonable reactive power flow of traditional SVC and a no...

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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Ge, Huaichang Chen, Tianhua Chen, Hao Ding, Haoyin Guo, Qinglai Wang, Bin Xu, Fengda State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing100084 China NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China East China Grid Corporation No. 882 Pudong South Road Shanghai200120 China

ISBN: (纸本)9781728135205

Recent years, various types of reactive power resources are installed in the power grid. Both of the complexity of and demand for better voltage regulation are increasing. AVC system is the most famous system-wide Q/V control system which consists of PVC, SVC and TVC. SVC controls the voltages of buses within a control zone by sending individual set-point values to PVCs belonging to the control zone. Traditional SVC assumes that PVCs within a control zone is decoupled and each PVC can reach the set-point value during a control period. However, the proof in this paper reveals the fact that if there are strongly coupled PVCs in a control zone, the competition between those PVCs will cause unreasonable reactive power flow. PVCs can't reach their set-points so a deviation of Q output is induced. In this paper, a novel SVC model is proposed so as to eliminate the Q deviation. Simulation work verified the proof and demonstrated the effectiveness of the proposed SVC model. © 2019 IEEE.

关键词： Electric load flow

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Best practices in China Southern Power grid competition of AI short-term load forecasting

Best practices in China Southern Power Grid competition of A...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Jixiang Lu Junxia Qian Qipei Zhang Shaobo Liu Feng Xie Hongsheng Xu State Key Laboratory of Smart Power Grid Protection and Control Nanjing China Jiangsu Keneng Electric Power Engineering Consultant Co. Ltd Nanjing China Technology Research Center NARI Group Corporation Nanjing China

ISBN: (数字)9781728157481

ISBN: (纸本)9781728157498

China Southern Power grid (CSG) hosted a competition of AI short-term load forecasting with real-world load data in Sept 2019. NARI Technology was invited for the 10 days closed match and got the 2 nd prize among 28 top players in China, such as research institutes, universities, and system suppliers. This paper highlights the best practices we did in the competition: feature selection of short-term load forecasting, outlier data preprocessing for both load data and meteorological data, multiple head long short term memory (LSTM) neural network innovation and data augmentation with the benchmark. opportunities for improvements are considered as well.

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Distribution network protection method based on Hankel singular value decomposition and transient energy

Distribution network protection method based on Hankel singu...

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Intelligent Design (ICID), International Conference on

作者： Wei Long Shuyan Pan Tonghua Wu Wei Dai Dan Wu Kuncheng Zheng School of Electrical and Automation Engineering Nanjing Normal University Nanjing Jiangsu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu China Nari Group Corporation Nanjing Jiangsu China

As a new technology, 5G technology has a lower cost than optical fiber and a transmission speed and carrying capacity comparable to optical fiber. It can improve the performance of the distribution network communication system, and it also enables differential protection based on double-ended data coordination. The protection has a new life. The factors affecting the reliability of differential protection are mainly divided into the accuracy of the synchronization algorithm and the reliability of the protection algorithm. Starting from these two aspects, this paper uses the Hankel matrix singular value decomposition to achieve the synchronization of the double-ended fault time; and designs a method based on transient differential energy, which is consistent with the judgment by judging the continuous sampling points in the sliding time window. The number of data sampling points constitutes the condition of protection action. The proposed method can reliably act on short-circuit faults, ground faults and high-resistance faults that occur in the area, and will not malfunction for out-of-area faults, regardless of the type of fault, transition resistance and other factors. Finally, PSCAD/MATLAB is used to verify the feasibility of the proposed method.

关键词： Resistance Grounding 5G mobile communication Design methodology Distribution networks Synchronization Reliability

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Network Packet Capturing System for Communication Simulation in Smart grid

Network Packet Capturing System for Communication Simulation...

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International Conference on Communications, Signal Processing, and Systems, CSPS 2018

作者： Ji, Qianyu Yang, Yibo Zhang, JunJing Yan, Yunsong Zhang, Zhijian Wang, Jian School of Electronic Science and Engineering Nanjing University 163 Xianlin Road NanjingJiangsu210023 China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation 19 Chengxin Road NanjingJiangsu211000 China

ISBN: (纸本)9789811362637

The next-generation electric power systems (smart grid) are studied to solve the energy crisis. Communication system simulation for the smart grid is of great significance. In this paper, we introduce a simulation system of a real power system. Meanwhile, we established a packet capture system to monitor the situation of the network and tested its performance under different bandwidths. We discussed the reasons that might influence the system’s performance and put forward some proposals for future work. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Smart power grids

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Improving Convergence of IEEE 1588v2 Protocol Using Clock Servo System

Improving Convergence of IEEE 1588v2 Protocol Using Clock Se...

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International Conference on Communications, Signal Processing, and Systems, CSPS 2018

作者： Gu, Weiwen Yu, Yue Tong, Heqin Gao, Qin Zhang, Zhijian Wang, Jian School of Electronic Science and Engineering Nanjing University 163 Xianlin Road NanjingJiangsu210023 China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation 19 Chengxin Road NanjingJiangsu211000 China

ISBN: (纸本)9789811362637

Precise time synchronization is widely used in several domains such as Internet of Things (IoT), communication industry, power system and so on. Among all-time synchronization protocols, IEEE 1588v2 Protocol has received extensive attention, due to its submicrosecond accuracy and high-cost performance. However, it is not great enough in the convergence performance of synchronization in software-only system. Therefore, the aim of this paper is to speed up the convergence by control the jitter in software-only system. There are several methods proposed to reduce the jitter brought by soft timestamp and nonreal-time operating system. We compare and analyze various methods and choose clock servo system to experiment. The results of experiments verify that the clock servo system reduces the convergence time and improves the synchronization accuracy to some extent. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Jitter

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A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market

A Deep Learning Based Real-time Load Forecasting Method in E...

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2018计算机科学与工程技术国际研讨会

作者： Qipei Zhang Jixiang Lu Zhihong Yang Mengfu Tu Nari technology co ltd. State Key Laboratory of Intelligent power grid protection and operation control

This paper analyzes the potential influence in Chinese electricity market due to the reform and access of the electricity spot market. On this occasion, a deep learning based model for load forecasting is proposed to improve the market operator's precise scheduling level and assist power retailers in managing bid strategies. LongShort Term Memory(LSTM) unit is used to modeling, which is one of the most popular techniques of deep learning. In addition, historical power load data and meteorological data of Suzhou and Lianyungang in China from January 2015 to December 2017 are used for the study to training and evaluate forecasting model. As a result, this paper shows the compare results with exiting machine algorithm for load forecasting.

关键词： A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market

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