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Distribution Network Differential protection Method Based on Dynamic Time Warping Algorithm 1

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

作者： Long, Wei Pan, Shuyan Wu, Hai School of Electrical and Automation Engineering Nanjing Normal University Jiangsu Nanjing210023 China NARI Technology Co. Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

As a new technology, 5G technology has lower cost than optical fiber and comparable transmission speed and carrying capacity, which can improve the performance of distribution network communication system. At the same time, differential protection based on two terminal data cooperation has a new life. However, 5G signal has delay jitter, and the transmission delay of channel may change, which increases the difficulty of synchronization and affects the reliability of differential protection. Therefore, this paper proposes an improved protection method based on dynamic time bending distance, introduces floating threshold as braking value, improves the reliability of protection, and has good adaptability to delay jitter and asynchronous error, which has certain engineering significance. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Optical fibers

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Design and Implementation of an Automated Test Framework for Electric Power Data Network based on the Unified Resource Scheduling

Design and Implementation of an Automated Test Framework for...

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International Conference on Advanced Power System Automation and protection (APAP)

作者： Ting Hu Qin Li Xin Huang Xiaoyang He Nari Group Corporation/State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

Traditional Electric Power Data Network (EPDN) device tests are implied manually with the testing resources utilized separately. Such way of testing is of low efficiency and is difficult for the management of device resources. With the rapid increase of testing tasks in the future, improving the test efficiency and the resource utilization is of great importance to the development of EPDN. In this article, we propose a novel automated test framework for EPDN. In particular, we abstracts the related knowledge from data of real world experimental resources and testing business, based on the extracted knowledge, we combine virtualization technology with automated testing technology and software quality management, and proposes an automated test framework with unified scheduling of testing resources. The proposed framework is evaluated with the task of route flapping testing. The provided test flow and test results prove the feasibility and the effectiveness of the proposed framework.

关键词： Testing Job shop scheduling Task analysis Instruments Routing protocols Cloud computing Topology

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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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Performance Analysis of Robust Tightly Coupled GNSS/INS Integration Positioning Based on M Estimation in Challenging Environments

Performance Analysis of Robust Tightly Coupled GNSS/INS Inte...

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第十三届中国卫星导航年会

作者： Yingying Jiang Shuguo Pan Qian Meng Min Zhang Wang Gao Chun Ma School of Instrument Science and Engineering Southeast University State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation

The phenomena of limited satellite visibility and multipath is serious in challenging environments,which causes to decrease of the positioning accuracy *** effective solution is tightly coupled integration of Global Navigation Satellite Systems(GNSS) and Inertial Navigation System(INS) based on robust M ***,the robust performance is directly influenced by both the selection of equivalent weight functions and the INS accuracy *** this paper,theoretical analysis and experiment validation of positioning accuracy and reliability for the robust integration system are implemented under the condition of various equivalent weight functions and different INS ***,for constructing equivalent least square form of EKF,we combine classical EKF observation equation with redundant observation equation established by predicted state and corresponding covariance in propagation ***,robust extended Kalman filter(REKF) algorithm which is based on M estimation is introduced for purpose of weakening the influence of faults on ***,the features of three typical equivalent weight functions(Huber,Tukey,IGG-Ⅲ) are analyzed ***,a simulation experiment platform is built to analyze the influence of the choice of equivalent weight functions and the IMU grades on positioning accuracy and reliability,which is realized by integrating GNSS and various grades IMU to locate with three REKF solutions against traditional *** experimental results show significant enhancements for REKF based on M estimation in terms of precision and reliability of tightly coupled ***,in the setting failure scenario,the solution scheme based on IGG-Ⅲ equivalent weight function can obtain the optimal robust effect in comparison with REKF(Huber) and REKF(Tukey),whose horizontal positioning accuracy is kept within-0.5 m ～ 0.5 m and vertical positioning accuracy is no more than 1 ***,compared with consumer grad

关键词： Extended Kalman Filter Equivalent Least Square M Estimation Equivalent Weight Function INS

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Questionnaire Survey System for Residential Customers based on Developed Consumption Behavior Model

Questionnaire Survey System for Residential Customers based ...

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Chinese Automation Congress (CAC)

作者： Jianmin Zhang Dongming Liu Yusheng Xue Huanlei Yu Zhenyuan Xiao Ping Luo School of Automation Hangzhou Dianzi University Hangzhou China State Key Laboratory on Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The big obstacles for residential energy transition are from lacks of consumption behavior model and relative information system. A four-tier residential energy demand model is developed to explore the cognition-consciousness-demand-behavior evolution process; then residential energy behavior analysis data sources are investigated and necessity of questionnaire survey system is analyzed. To have a theory-supported information system, extension of Engel-Kollat-Blackwell consumption behavior model has been developed, and design of questionnaire survey system for residential customer is introduced with simple analysis of real implementation.

关键词： Green products Information systems Home appliances Energy consumption Biological system modeling Automation Cognition

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Analysis of Tie-line Power Optimization in Integrated Energy Distribution System

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Energy Procedia 2019年 158卷 6484-6489页

作者： Liu Liu Dan Wang Hongjie Jia Weiliang Wang Zhengji Meng Yunqiang Zhi Shenxi Zhang Wei Du Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Applied Energy UNiLAB: DEM (Distributed Energy and Microgrid) Tianjin China Key Laboratory of Control of Power Transmission and Transformation of Ministry of Education Shanghai Jiao Tong University Shanghai China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

Recently, the concept of integrated energy distribution system (IEDS) has gained popularity both in academia and industry, it is characterized by the comprehensive integration of multi-energy carriers and flexible utilization of available resources including distribution generations (DGs). However, the stability problem caused by the intermittency of renewable energy and uncertainties of energy demands are among the main concerns that need to be regulated properly. To address this issue, a novel method of tie-line power optimization is proposed in this paper, where the synergies among various energy sectors are stressed. The model of regional energy station (RES) is studied to provide the model basis, which can be regarded as the coupling link of electric power system (EPS) and natural gas system (NGS). In this regard, the flexibility of energy conversion and dispatch can be utilized as a kind of controllable resources for the sake of tie-line power optimization. Therefore, the tie-line power can be regulated in a flexible way in response to the control signal from the dispatch center. Verified by numerical studies, the results show the efficiency and applicability of the proposed strategy.

关键词： integrated energy distribution system (IEDS) regional energy station (RES) multi-energy flow tie-line power regulation

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Research on Communication Schemes for Digital-Physical Hybrid Simulation of the SSCS

Research on Communication Schemes for Digital-Physical Hybri...

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

作者： Qitao Liu Jianbing Xu Haibo Xu Zhao Ding Manli Li Jinhua Ren Zhaoyang Yin State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) NARI Technology Co. Ltd Nanjing China NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control School of Electrical of Engineering Southeast University Nanjing China

SSCS plays the essential role in power grid operation to ensure the control reliability and effectivity. Due to the power system becomes more complex, it is inevitable to improve the simulation technology for SSCS. Thus, a digital-physical hybrid simulation platform for SSCS is required. In this paper, the requirements of the digital-physical hybrid simulation platform are analyzed and focus on the design of communication schemes for digital-physical hybrid simulation. IEC61850 and Aurora based communication technical roadmaps are proposed for the communication between RTDS and DSSCHP. Also, two options are available for the communication between SSCDs and DSSCHP.

关键词： Ion radiation effects Analytical models Synchronous digital hierarchy System integration Real-time systems Power grids Power system reliability

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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network

Multi-Objective Optimization of Magnetic Parameters in Wirel...

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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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Power Fault Preplan Text Information Extraction Based on NLP

Power Fault Preplan Text Information Extraction Based on NLP

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

作者： Sun, Shaohua Dai, Zemei Xi, Xinkui Shan, Xin Wang, Bo NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Gird Protection and Control Nanjing211106 China Power Dispatching Automation State Grid Hebei Electric Power Co. Ltd. Shijiazhuang050022 China

ISBN: (纸本)9781538655139

A large amount of texts recorded in Chinese exist in power grid enterprises. These texts contain abundant information of power system. Manually mining the text information is inefficient and the accuracy may vary with different dispatchers. In this paper, the power fault countermeasure text is taken as the object to study the power Chinese text information extraction method. Power texts are segmented firstly based on the nature language process (NLP), the ontology lexicon is established according to the power word attribute in the power fault countermeasure text;Based on the syntax structure characteristics of punctuations and the concept of separate parsing phrase are brought in to guide the division of long texts, which can separate the sentence with only one power entity and its related information;The syntax rule template applicable to the separate parsing phrase is established based on the meta-character templates (generalization slot, fixed word-combination, wildcard character, and registry function) used for the power fault preplan text information extraction and the structured output of that information;At last, the generalization ability and the universality of the template are analyzed. Examples show that the rule template applies to the information extraction of most texts with strong universality and high accuracy. © 2018 IEEE.

关键词： Syntactics

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Optimal Scheduling of Thermoelectricity in Integrated Energy System Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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

作者： Dongmei Yang Yu Gao Qi Wang Yan Chen Yuchen Guo Meng Wang the State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology Co. Ltd. Nanjing China School of Nari Electric and Automation Nanjing Normal University Nanjing China

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits.

关键词： Couplings Cogeneration Optimal scheduling System integration Wind power generation Waste heat Heat recovery

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