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Design of an energy management system based on digital twins

Design of an energy management system based on digital twins

引用

2024 International Conference on Optics, Electronics, and Communication Engineering, OECE 2024

作者： He, Zhimin Peng, Lin Yu, Hai Wang, He Zhou, Jianqi Feng, Zhenyuan State Grid Smart Grid Research Institute Co. Ltd. Jiangsu Nanjing210003 China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Jiangsu Nanjing210003 China State Grid Zhejiang Electric Power Co. Ltd. Jiaxing Power Supply Company Zhejiang Jiaxing314000 China

ISBN: (纸本)9781510685437

In the construction of clean and low-carbon community energy management systems, the challenges of the new era of low-carbon community development lie in monitoring and utilizing the massive panoramic information obtained from physical equipment within the community, constructing digital twin models of intelligent clean energy systems, and achieving multi-energy complementarity and energy conservation and emission reduction. Based on the optimization and complementarity of multi-energy interconnected systems and the coordinated operation control technology of "source-grid-load-storage," this paper designs a digital twin-based green and low-carbon community energy system operation management platform that integrates the needs of multiple business scenarios. By integrating modeling, simulation, artificial intelligence, and hierarchical control across multiple temporal and spatial scales through digital twin technology, this platform offers functions such as energy planning, operation and control, demand response, distributed energy trading, and carbon neutrality services. It addresses the issues of information barriers hindering the development of clean energy systems such as "source-grid-load-storage integration" in energy systems, effectively supporting key aspects of integrated energy systems, including planning and design, optimized operation, online safety analysis, and equipment health management. © 2024 SPIE.

关键词： Zero-carbon

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Research and Implementation of Building a Digital Twin Model for Electric grid Based on Deep Learning

Research and Implementation of Building a Digital Twin Model...

引用

International Conference on Artificial Intelligence and Communication Technologies, ICAICT 2023

作者： Qiao, Junfeng He, Zhimin Yu, Hai Shen, LianTeng Du, Xiaodong State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co. LTD Jiangsu Nanjing210003 China China Electric Power Research Institute Co.Ltd Beijing100192 China State Grid Hebei Electric Power Co. LTD Hebei Shijiazhuang050021 China

ISBN: (纸本)9789819969555

In the production of the power industry, digital twin technology is mainly used for the dispatch and distribution of electricity. Through real-time monitoring and analysis of key indicators in the dispatch center of the power company, the operation level and power supply service quality of the power company are improved. At present, the digital twin applications in the power industry are mainly used for indicator monitoring and process analysis, with the main goal of monitoring being existing collected data, lacking real-time analysis of higher-order data. With the continuous expansion of electricity consumption scale, the electricity demand of electricity customers is also becoming increasingly rich, which correspondingly drives the data generated in various business processes of power enterprises to develop towards a trend of high-dimensional and high-order. Traditional data processing and mining technologies are no longer able to quickly characterize and describe such high-order and high-dimensional data. Only by utilizing more efficient data analysis methods can we meet the current demand for power digital twin services. This article proposes a method for constructing a power grid digital twin model based on deep learning methods, which conducts deep learning on high-dimensional and high-order data in the power grid, identifies its features, and constructs a data category classifier to promote the construction of a power grid digital twin model that is more needed for load power business analysis, and improve the usability and applicability of the power grid digital twin model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electric power utilization

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A comprehensive assessment method for the power structured data classification and grading based on hierarchical analysis 5

A comprehensive assessment method for the power structured d...

引用

5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023

作者： Zhai, Yujia Huang, Xiuli Shi, Congcong Liu, Shenglong Zhang, Hao State Grid Smart Grid Research Institute Co. LTD State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China Big Data Center of State Grid Corporation of China Beijing China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350326796

With the transformation of the digital development of power grids, the classification and grading of structured data for electricity is an important basis for data security protection. Existing methods for assessing data classification and grading results are mostly always based on individual indicators of the model's operational results. However, such methods can only evaluate a single performance indicator of that result, and cannot provide a comprehensive evaluation of all performance indicators. This paper proposes a comprehensive assessment method for the power structured data classification and grading based on hierarchical analysis, which allows various quality elements of the model to be extracted according to different needs, establishes a hierarchical indicator system, and determines the weights of each indicator in the system by means of hierarchical analysis, and finally calculates a comprehensive quality score for the classification and grading results. Finally, the method is systematically validated using different classification and grading models. © 2023 IEEE.

关键词： Grading

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Application research of distribution network operation analysis method based on digital twin technology 3

Application research of distribution network operation analy...

引用

3rd International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2023

作者： Dong, Shiwen Yu, Hai He, Zhimin Ou, Zhujian Mao, Yanfang State Grid Laboratory of Power cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co.LTD. Jiangsu Nanjing210003 China Nantong Power Supply Company State Grid Jiangsu Electric Power Supply Co. LTD China

ISBN: (纸本)9781510671423

The operation of the distribution network mainly depends on the lines, grids, equipment, and customer electricity usage in the distribution network. The safe and reasonable operation of the entire process is the key to the success of the distribution network operation. Analyzing the relevant indicators of distribution network operation can provide decision-making data support for the power supply management department. The monitoring of operational indicators in the distribution network is the fundamental guarantee for the safe, orderly, healthy, and efficient coordination of power grid operations, which can significantly improve the service and management capabilities of business departments. Digital twin technology provides high-precision data base support for operational monitoring and control in the power grid, and ensures the real-time and effectiveness of data models based on intelligent collection terminals. grid operation and regulatory personnel can observe and analyze the operation of power equipment and facilities in reality through digital twin models. And use the basic algorithms of the model to deduce and predict real power data, and make plans for potential faults and risks based on the results of the deduction and prediction. This article proposes a distribution network operation analysis method based on the digital twin model. The digital twin model is applied to the analysis and mining of distribution network operation data, and relevant demonstration applications are carried out. The analysis method is optimized and improved based on the application effect. © 2023 SPIE.

关键词： Electric power distribution

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Device Identification based on Network Traffic Fingerprint 2

Device Identification based on Network Traffic Fingerprint

引用

2nd International Conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2023

作者： Wu, Tianqi Zhou, Xiaoming Wu, Hongbin Zhang, Daojuan Zhang, Yingjie Han, Xiao State Grid Smart Grid Research Institute Co. Ltd. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Beijing China State Grid Liaoning Electric Power Supply Co. Ltd. Operations Safety and Technology Department Liaoning China

ISBN: (纸本)9798350371451

The devices connected to the LAN have the security risk of being counterfeited and remotely controlled. To identify and understand the devices in the network in advance, the administrator can monitor and handle the abnormal devices in advance. At present, the device recognition method based on deep learning has some limitations. In this paper, the fingerprint information related to the device type is extracted from the network traffic, and the deep learning algorithm based on graph neural network is used to deeply mine the traffic feature hiding relationship between devices, and effectively identify various device types and device models. The effect of the model in this paper on the task of device identification of public data sets has been greatly improved. © 2023 IEEE.

关键词： Deep learning

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BertHTLG: Graph-Based Microservice Anomaly Detection Through Sentence-Bert Enhancement 20th

BertHTLG: Graph-Based Microservice Anomaly Detection Through...

引用

Proceedings of the 20th Web Information Systems and Applications Conference, WISA 2023

作者： Chen, Lu Dang, Qian Chen, Mu Sun, Biying Du, Chunhui Lu, Ziang State Grid Smart Grid Research Institute Co. Ltd Nanjing210003 China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing210003 China State Grid Gansu Information & Telecommunication Company Lanzhou China

ISBN: (纸本)9789819962211

Microservice systems in the industry typically comprise a large-scale distributed architecture with numerous services running on different machines. Anomalies caused by cyber attacks or other factors within such a system are often reflected in different logging systems. Existing log-based approaches for anomaly detection mainly rely on a single type of logs. To address these limitations and enhance anomaly detection, we propose BertHTLG, an approach for detecting microservice anomalies using a heterogeneous graph representation enhanced by Sentence-Bert. It leverages the heterogeneous graph representation to capture the intricate structure and heterogeneity of traces along with the embedded log events. Our approach employs RGCN based on a deep Support Vector Data Description (SVDD) model. By calculating the distances between anomalous traces and the center of the hypersphere using the trained model, we can effectively identify and distinguish anomalous traces. Evaluation on a microservice benchmark demonstrates that BertHTLG achieves remarkable precision (98.5%), recall (99.2%), and F1-Score (98.8%), surpassing state-of-the-art approaches for trace/log anomaly detection with an increase of 3.4% in F1-score. These results validate the effectiveness of BertHTLG, the contribution of the heterogeneous graph representation, and the influence pre-trained language model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Anomaly detection

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Research on Secure Data Circulation and Sharing protection technology Framework for power monitoring System

Research on Secure Data Circulation and Sharing Protection T...

引用

2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Huang, Weicong Zhou, Jieying Jin, Minghui Han, Zheng Wei, Sijia State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China National Power Dispatching and Control Center State Grid Corporation of China Beijing China State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798350327380

With the increasing frequency of data circulation and sharing in power monitoring systems, traditional network-centric protection strategies are insufficient to resist the growing risk of data leakage. This article analyzes the security risks in existing typical data circulation and sharing scenarios based on the demand for data security sharing in power monitoring systems. A data security protection technology framework covering the source layer, interaction layer, and terminal layer has been proposed from the perspectives of basic protection capabilities and key protection technologies, as well as an evaluation method for the protection technology capabilities of data circulation and sharing. This provides a reference idea for effectively enhancing the data circulation and sharing protection capabilities of power monitoring systems. © 2023 IEEE.

关键词： Risk perception

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The construction system and application of distribution network digital gateway integrated with electrical topology 7

The construction system and application of distribution netw...

引用

7th International Conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Yang, Pei Zhu, Fuyun Mao, Yanfang Xu, Min Xu, Xiaoyi Wang, Gang State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing210003 China State Grid Smart Grid Research Institute CO. LTD Nanjing210003 China State Grid Nantong Power Supply Company State Grid Jiangsu Electric Power CO. LTD Nantong226000 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

With the digital transformation of distribution network, it is a trend to use digital twins to simulate the status and operation of distribution network system. However, the current distribution network digital twin system is inclined to model three-dimensional display and data superposition, lacks the characteristics of power business, and is difficult to grow synchronously with the dynamic evolution of the power system. At the same time, the twin construction for massive distribution network objects consumes a lot of labor and time costs1. Therefore, this paper introduces the grid topology and electrical state calculation model based on graph calculation, integrates the electrical topology to realize the rapid construction and automatic layout of distribution network data twins, and carries out distribution network business applications such as distribution network panoramic state monitoring, power supply range analysis, etc. based on the distribution network twins scene. © 2023 SPIE. All rights reserved.

关键词： Topology

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Research and Implementation of Spatial Layout Algorithm and Optimization technology for Digital Twin Objects of Distribution Network Facilities 5

Research and Implementation of Spatial Layout Algorithm and ...

引用

5th International Conference on Applied Machine Learning, ICAML 2023

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Ou, Zhujian Xu, Xiaoyi Yao, Jianguang State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology Jiangsu Nanjing210003 China Nantong Power Supply Company State Grid Jiangsu Electric Power Co. Ltd Jiangsu Nanjing210014 China

ISBN: (纸本)9798350341416

The equipment and facilities in the distribution network include not only primary equipment such as transformers, circuit breakers, lightning arr-esters, capacitors, but also secondary equipment such as transfer switches, buttons, indicator lights, current and voltage meters. The total number of equipment types exceeds 200, and the average number of equipment in provincial areas exceeds 100 million. Equipment management is very arduous. The equipment management system in the power industry records the basic archive information of all these equipment, including equipment nameplate, equipment type, equipment operation mode, and geographic information. With the rapid development of power applications, the two-dimensional information description in device management systems cannot meet the needs of more complex power applications. The spatial description and layout of device objects is the foundation for the next step of power business applications. To address this issue, this paper proposes a layout and optimization algorithm for the digital twin object space of distribution network facilities, which visualizes distribution network equipment and facilities, and describes the three-dimensional features of the equipment using point cloud description methods, providing a spatial layout and optimization method for the equipment. The method proposed in this paper has been applied and verified in actual power production and maintenance business, improving the efficiency of power operation and maintenance work. © 2023 IEEE.

关键词： Electric power distribution

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Research and Application of Distribution Network Dispatching Operation Based on Digital Twinning technology 12

Research and Application of Distribution Network Dispatching...

引用

12th International Conference of Information and Communication technology, ICTech 2023

作者： Qiao, Junfeng Ou, Zhujian Peng, Lin Zhu, Fuyun Zhou, Aihua Yang, Pei State Grid Smart Grid Research Institute Co. ltd State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology Jiangsu Nanjing210003 China State Grid Jiangsu Electric Power Co. Ltd Nantong Power Supply Company Jiangsu Nanjing210014 China

ISBN: (纸本)9798350332919

In the electric distribution grid, the access of distributed electric power generation also brings new technical challenges. From the perspective of operation, after the distributed generation is related to the electric distribution grid, due to the uncertainty of wind energy, solar energy and other new energy, there will be higher harmonics in the distribution network that affect the power quality and power supply reliability. On the other hand, it is necessary to consider the economic cost and reasonably distribute the output status of different units in the distribution network to achieve the unity of economic and ecological benefits. While, it has occasion to research the dispatching method of electric distribution grid with distributed generation. This paper uses digital twinning technology to build virtual equipment modeling scheme, which integrates equipment basic data, system single line diagram and grid geographic coordinate data. With rapid processing governance as the core and electric grid topology computing function, it realizes the whole process management of electric distribution grid dispatching and management, and provides production management personnel with distribution network digital simulation platform and auxiliary decision-making function. © 2023 IEEE.

关键词： Decision making

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