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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Luo, Kui Lin, Chaofan Liu, Shiyu Bie, Zhaohong Shi, Wenhui Qu, Jixian State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China State Key Laboratory of Electrical Insulation and Power Equipment Shaanxi Province Key Laboratory of Smart Grid xi'An Jiaotong University Xi'an Shaanxi710049 China

ISBN: (纸本)9781538614273

Nowadays as quantities of renewable energy resources are integrated to the power grid, their fluctuation and uncertainties influence violently to power system operation. Stochastic power flow is utilized to handle this issue. However, conventional stochastic power flow did not consider correlation in renewable energies, especially wind farms, leading to errors in power flow analysis. To address this problem, this paper proposes a linear correlation clustering method, which decomposes the non-linear correlated wind power data to several linear models to solve. The data generated from the nonlinear probabilistic distribution is clustered according to similar linear property, still keeping their major features and characteristics. Through analysis in a case study, it is proved that the proposed linear correlation clustering method performs better than existing Gaussian mixture model in both accuracy and computational efficiency. It is insightful to be utilized for stochastic power flow calculation in power system planning and operation. © 2017 IEEE.

关键词： Stochastic systems

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Carbon Emission Calculation and Low Carbon Transition Path Optimization Method for Electric Power Industry 25

Carbon Emission Calculation and Low Carbon Transition Path O...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Yu, Fanfan Kong, Xiangyu Luo, Shuai Wu, Shunyu Wang, Yubo Gao, Yi Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350366600

With economic development, the energy and power industry must balance power supply growth and carbon reduction requirements. To achieve the goal of 'double carbon', the power system needs to be transformed into green and low-carbon, and accurate carbon emission accounting has become a critical support. Due to the significant differences between cities and regions, emission reduction strategies vary. To this end, the article firstly clarifies the carbon emission accounting boundary of power generation enterprises, establishes a carbon emission accounting model for the power industry based on the IPCC inventory method of fuel consumption, and secondly constructs an enterprise low-carbon transition planning model by integrating technological, economic, environmental and other factors, researches and analyzes the path of power generation enterprises to achieve carbon-neutral transition by 2060, and simulates different low-carbon transition scenarios. The results show that achieving carbon neutrality appropriately in advance is beneficial to power generation enterprises to a certain extent, but advancing the process of carbon neutrality too early will lead to soaring costs. In addition,future policies will push forward the scale of installed energy storage, and enterprises should make good use of technical and resource reserves. The power industry needs to formulate appropriate low-carbon transformation strategies according to its reality to ensure that it realizes a win-win situation regarding economic and social benefits while realizing the goal of carbon neutrality. © 2024 IEEE.

关键词： Low emission

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Deep neural network based acoustic pattern recognition system for fault localization application

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Applied Mathematics and Nonlinear Sciences 2024年第1期9卷

作者： Cui, Yao Huang, Xin Zhang, Xin Nari Group Corporation State Grid Electric Power Research Institute Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

This paper explores the process of traditional voiceprint recognition, analyzes the traditional GMM recognition algorithm, and proposes a GE2E-based voiceprint recognition algorithm by combining it with the deep neural network. It firstly uses the Bi-GRU network to replace the LSTM network to prevent the lack of semantic information, then adds the SGD algorithm to optimize the speech features, and finally improves the stability and accuracy of recognition by the GE2E loss function. On this basis, a voiceprint recognition system based on GE2E is designed, and the overall performance of the system is tested. Additionally, a voiceprint recognition system is being explored for fault localization. The results show that the recognition accuracy of male voiceprints in the test is at [0.89,0.95], and the recognition accuracy of female voiceprints is at [0.88,0.96], and there is not much difference in the voiceprint recognition accuracy of the voiceprint recognition system for both male and female students, and the overall recognition accuracy is greater than 0.9. When applied in fault location, the error between the measured distance and the actual fault distance is within 0.1 meters, enabling fault location. © 2023 Yao Cui, Xin Huang and Xin Zhang, published by Sciendo.

关键词： Deep neural networks

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Optimization Method for Flexible Dispatch of Source, grid, Load and Storage Considering Different Photovoltaic Penetration Rates 25

Optimization Method for Flexible Dispatch of Source, Grid, L...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Wang, Man Wang, Chunjie Kong, Xiangyu Yao, Haoyang Niu, Yuan Wang, Chao Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China State Grid Tianjin Electric Power Company Ninghe Power Supply Branch Tianjin China

ISBN: (纸本)9798350366600

As the scale of grid connection of renewable resources such as wind and solar continues to increase, it is difficult to meet system needs by relying solely on the existing single fast peak-shaving power source. Therefore, this paper aims at the power system scheduling problem under different photovoltaic penetration rates. First, the multi-dimensional characteristics of photovoltaics are modeled. Then, a system scheduling model for the interaction of four types of resources: conventional units, grid elasticity, load response, and energy storage is established. Finally, to minimize the system peak-shaving cost, the optimal system scheduling strategy under different photovoltaic penetration rates is obtained, and the dynamic matching of different photovoltaic penetration rates with the peak-shaving capacity of the power system is completed. A system scheduling strategy that can meet different photovoltaic penetration rates is proposed to ensure the power system's balance of supply and demand and improve resource utilization. © 2024 IEEE.

关键词： grid interaction between source load and storage new energy grid connection optimal power grid dispatching

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

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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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Applicability Analysis of Distance protection for the Line Integrated with High Proportional Wind Farm 8

Applicability Analysis of Distance Protection for the Line I...

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8th Asia Conference on Power and Electrical Engineering, ACPEE 2023

作者： Zhang, Yongwu Yao, Cheng Li, Dayong Huang, Xiaoxiao Xie, Zhongrun He, Jiawei Li, Bin Center State Grid Tianjin Electric Power Company Electric Power Dispatching and Control Tianjin China State Grid Tianjin Electric Power Company Electric Power Research Institute Tianjin China Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin China

ISBN: (纸本)9798350345520

The performance of conventional protections is serious challenged by different fault characteristics of wind turbine, compared to the synchronous generators. The existing studies can only illustrate the applicability of protections to the renewable energy transmission system through qualitative analysis or extensive simulations. This paper proposes a quantitative evaluation method for distance protection applicability in wind power transmission system. Firstly, by deriving the fault current of doubly-fed induction generators, the Fourier algorithm error of the fundamental frequency current under the influence of frequency deviation phenomenon is calculated. Secondly, based on the analysis of the measured impedance error caused by the Fourier algorithm error, the action accuracy of the distance protection under different operation states and fault conditions are obtained. In particular, the protection applicability under different wind power ratios is evaluated for the wind power transmission system bundled with synchronous generators. Finally, a real time simulation model of wind power transmission system is built based on RTDS platform, and extensive simulation cases are carried out to verify the validity of the proposed method. © 2023 IEEE.

关键词： Errors

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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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