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Cell Reports Physical Science 2025年

作者： Jiaxin Xu Jiahui Chen Hongyi Wei Yinan Zhao Bowen Tian Yifan Wen Haiyang Jiang Ning Zhang Shaojun Zhang Ye Wu School of Environment Tsinghua University Beijing 100084 China Center for Sustainable Systems School for Environment and Sustainability University of Michigan Ann Arbor MI 48109 USA School of Electrical and Power Engineering Power System Research Institute Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China State Key Laboratory of Regional Environment and Sustainability Tsinghua University Beijing 100084 China

Electric vehicles (EVs) offer significant potential to reduce greenhouse gas (GHG) emissions from road transport. However, nighttime charging increases peak demand and thermal power reliance. This study evaluates vehicle-to-grid (V2G) as a solution by integrating GPS-based EV travel data with hourly grid modeling for 2 million EVs in Beijing. Results show V2G boosts renewable energy use in charging to 66%, up from under 4% in uncoordinated charging. V2G cuts vehicle uncoordinated charging emissions by 20.6% and reduces the grid’s GHG footprint by replacing thermal power with discharging electricity. Commuter vehicles and the summer months offer the highest V2G emissions reduction potential. The study finds battery degradation manageable and highlights synergies between V2G, renewable capacity expansion, and economic incentives, while emphasizing the need for robust infrastructure and local grid networks to support large-scale EV adoption. This approach therefore offers a promising pathway to accelerate sustainable energy solutions amid increasing vehicle electrification and renewable integration.

关键词： electric vehicles vehicle to grid V2G GHG emissions travel pattern grid optimization

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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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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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Distributed transmission technology of node status in distribution network

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Journal of Physics: Conference Series 2021年第1期1920卷

作者： Kuo Tan Hai Wu Guo Hu Hui Chen NARI Technology Co. Ltd. Nanjing 211000 NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211000 State Key Laboratory of Smart Grid Protection and Control Nanjing 211000)

With the rapid development of distribution network automation and the construction of DC distribution network and AC / DC hybrid distribution network, the network operation mode is more flexible. If the distribution network wants to realize rapid load transfer, such as the connection of power supply, upstream and downstream fault isolation signals and other node states need to be quickly identified. At present, the node status identification of distribution automation is basically completed by the master station. However, the master station has poor real-time transmission of status information, which is generally in seconds or minutes, and can not meet the demand of real-time load transfer. In this paper, a distributed real-time transmission method of AC and DC distribution network node status is constructed for distribution automation system. Based on IEC61850 goose communication protocol, the real-time transmission of node status is realized in distribution automation terminal. In this method, the positive direction of each tie switch is defined, which is independent of power flow direction, and the tie switch is distinguished along the user-defined positive direction When multiple tie switches have the same upstream node, they are each other's t nodes. Each tie switch needs to be equipped with a distribution automation terminal with goose communication capability. According to different control strategies, the distribution automation terminal can realize millisecond level node state transmission step by step. Node state can be divided into unconditional transmission state and conditional transmission state. The distributed real-time transmission technology of distribution network node state proposed in this paper has been successfully applied to Tongli integrated energy service The center and Suzhou medium and low voltage DC project lay the foundation for the realization of loop closing, loop breaking control, fast fault isolation and power transfer control strat

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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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Variational Autoencoder Based Fault Detection and Location Method for Power Distribution Network

Variational Autoencoder Based Fault Detection and Location M...

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International Conference on Condition Monitoring and Diagnosis, CMD

作者： Xuhong Wang Ping Cui Ying Du Yupu Yang The Ministry of Education Key Laboratory of System control and information processing Shanghai Jiao Tong University Shanghai China State Energy Smart Grid R&D Center Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728159317

ISBN: (纸本)9781728159324

With the rapid development of the world economy and the continuous improvement of people's living standards, users put forward higher requirements for the quality and reliability of the power system. As a representative of deep learning, variational autoencoders play an important role in processing high-dimensional big data. In this paper, a novel variational autoencoder based distribution network abnormal monitoring and positioning method is proposed. Through an indepth study of the variational autoencoder, we utilize the real-time dynamic distribution network status information provided by the wide-area measurement system, combined with the abilities of feature extracting and data reconstruction. Finally, the IEEE-33 simulation model was built in Matlab software and the experimental results were used to verify the correctness of this method. The results show that this method can quickly and accurately achieve the fault detection and location for the distribution network with strong robustness.

关键词： Fault detection Distribution networks Feature extraction Electrical fault detection Software Wide area measurements Standards

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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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Ensemble Machine Learning Identification of Power Fault Countermeasure Text Considering Word String TF-IDF Feature

Ensemble Machine Learning Identification of Power Fault Coun...

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

ISBN: (纸本)9781538655139

A large amount of fault countermeasure texts are used to guide fault handing operations in power dispatching systems. This paper transforms the identification problem of fault countermeasure disposal text into a classification problem for identifying the content of text, understanding the meaning of text and building an intelligent power grid fault handling automation system. Firstly, the characteristics of fault countermeasure text are analyzed, and the text is preprocessed according to the characteristics and classification requirements. (Term Frequency-Inverse Document Frequency) TF-IDF is used to analyze and extract and vectorize the features of words and word strings in text, then concatenated feature vectors are used to vectorize the text. classification models are built based on a variety of machine learning methods. Examples show that the feature extraction method taking TF-IDF of word string into consideration is superior to word TF-IDF, and the classification effects of different machine learning methods are compared. The examples also show that the ensemble machine learning classification model has better classification effect than the single classifier, and can identify the text of fault countermeasure disposal more accurately and efficiently. © 2018 IEEE.

关键词： Inverse problems

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Design of Real-time Message Synchronization cross smart grid Dispatching system

Design of Real-time Message Synchronization cross Smart Grid...

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

作者： Chunlei Xu Tong Liu Baolong Lei Hui Peng State Grid Jiangsu Electric Power Co. Ltd. Nanjing China NARI Technology Co. Ltd. Xi’an China NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) NARI Technology Co. Ltd. Nanjing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

In the integrated operation mode of the smart grid dispatching and control system, there is a large amount of real-time data such as important alarms and manual operations that need to be shared between systems. How to synchronize these real-time data across systems with high reliability and performance becomes a problem to be solved. This paper studies the application scenarios of cross-system message synchronization and proposes a scheme based on redundant dual networks, including hardware and software architecture. The key technologies and important functions were implemented, reliability and throughput verifications were performed, and the expected results were achieved.

关键词： control systems Throughput Dispatching Real-time systems smart grids Software reliability Synchronization

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Status evaluation of smart substation measurement and control device

Status evaluation of smart substation measurement and contro...

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第二届先进电子材料、计算机与材料工程国际学术会议（AEMCME 2019）

作者： Zhang Min Shen Jian Chen Li Zhou Bin Zhou Shao Liang Hou Zhe NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control NARI Technology Corporation Co. Ltd

In power system, measurement and control device plays an important role in maintaining an ideal level of reliability. Therefore, the reliability of the measurement and control device should be evaluated to fully understand the cause of its failure. A new evaluation model is proposed, which relates the fault of measurement and control system with the four main reasons of device hardware fault, software fault, auxiliary equipment fault and human fault. In addition, the model can also comprehensively consider other aspects of the measurement and control system, such as human error in testing and software upgrade, effectiveness of daily operation monitoring, degree of dependence on self-inspection, local backup and misoperation. These studies have a lot of significance to the reliability of the control system, and also can effectively improve the stability of the system.

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