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Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements

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Global Energy Interconnection 2022年第2期5卷 131-142页

作者： Jinsong Li Hao Liu Wenzhuo Li Tianshu Bi Mingyang Zhao State Key Lab of Alternate Electric Power System with Renewable Energy Sources(North China Electric Power University) Beijing 102206P.R.China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology(China Electric Power Research Institute) Beijing 100192P.R.China

The application and development of a wide-area measurement system(WAMS)has enabled many applications and led to several requirements based on dynamic measurement *** data are transmitted as big data information *** ensure effective transmission of wide-frequency electrical information by the communication protocol of a WAMS,this study performs real-time traffic monitoring and analysis of the data network of a power information system,and establishes corresponding network optimization strategies to solve existing transmission *** study utilizes the traffic analysis results obtained using the current real-time dynamic monitoring system to design an optimization strategy,covering the optimization in three progressive levels:the underlying communication protocol,source data,and transmission *** of the system structure and scheduling optimization of data information are validated to be feasible and practical via tests.

关键词： power system Data network Wide-frequency information Real-time system Traffic analysis Optimization strategy

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A Heuristic Algorithm Based on Characteristic Analysis for Unit Commitment Problem 4

A Heuristic Algorithm Based on Characteristic Analysis for U...

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4th International Conference on power Engineering, ICPE 2023

作者： Xu, Shengnan Ding, Qiang Pan, Yi Cai, Zhi Zheng, Chenda Song, Shaoqun China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China State Grid Fujian Electric Power Company Fuzhou China

ISBN: (纸本)9798350340020

To improve the algorithm performance of mixed integer programming, determining the state of some integer variables in advance is the most direct and effective method. In this paper, we propose a heuristic algorithm based on characteristic analysis of unit and load for unit commitment problem. Starting with the initial state of a given unit, the state of every unit at each time point is examined. Then, the unit is considered to be put into operation when the system positive reserve not be met, and taking the load intersection line across this operation point to obtain all load characteristic values corresponding the unit, such as the load intersection point, intersection point-pair, regression time and so on. Finally, based on the division of load period, the treatment of the unit is determined one by one. By testing the standard examples and practical examples, the proposed method can save about 30% of computing time, which effectively improves the performance of mixed integer programming. © 2023 IEEE.

关键词： Heuristic algorithms

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Cloud-Edge Collaboration Generation and Sharing Method of dispatching and Control Sample Data

Cloud-Edge Collaboration Generation and Sharing Method of Di...

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2023 International Conference on Data Science and Network Security, ICDSNS 2023

作者： Li, Dapeng Zhang, Jie Huang, Yunhao Yu, Ling Chen, Jian Tao, Lei Wang, Jiaqi Shang, Jingan Fu, Cong China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350301595

Artificial intelligence technologies represented by machine learning and deep learning have been studied and applied in the field of power grid regulation, but there are problems such as scattered application results and poor data resource sharing. In order to meet the application requirements of artificial intelligence in power grid regulation and improve the training effect of the model, relying on the multi-level shared architecture and massive data resources provided by the regulation cloud, cloud edge collaboration technology is adopted to design the generation and sharing method of regulation business sample data, achieving collaborative management of sample data, and promoting the inheritance and development of resources and experience in the regulation field. © 2023 IEEE.

关键词： Deep learning

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A Data Interaction Mechanism of Multi-market Members in power Spot Market Based on Blockchain 18th

A Data Interaction Mechanism of Multi-market Members in Powe...

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18th International Forum of Digital Multimedia Communication, IFTC 2021

作者： Wu, Shuzhou Huang, Yunhao Li, Dapeng Tao, Lei Liu, Dong Yang, Qingbo Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (纸本)9789811922657

Blockchain has the characteristics of smart contract, distributed decision-making, collaborative autonomy, tamper proof high security, openness and transparence. It is suitable for the power spot trading market in terms of operation mode, topology and security protection, and can well support the construction and protection of the power spot trading market. Firstly, this paper expounds the basic principle of blockchain technology. Then, the model architecture of power spot trading market supported by blockchain is studied, and the market transaction process covering the whole process of transaction announcement, transaction declaration, market matching, data deposit and certificate is designed. Finally, based on the application scenario of "multi buyer and multi seller" in the power market, a block chain based power spot market transaction simulation platform is built to realize the efficient distribution and rational utilization of energy, and the feasibility of the transaction mechanism and method is verified by simulation experiments. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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research on the Cloud-Edge Service Collaboration and Interaction technology Oriented for dispatching and Control Cloud 18th

Research on the Cloud-Edge Service Collaboration and Interac...

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18th International Forum of Digital Multimedia Communication, IFTC 2021

作者： Liu, Dong Li, Dapeng Huang, Yunhao Tao, Lei Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (纸本)9789811922657

With the continuous promotion of the construction of dispatching and control cloud, the existing service interaction mechanism has network security risks. At the same time, the service deployment is cumbersome, which affects the efficiency of service interaction. Based on the service proxy, cloud-side collaboration is used to complete the service interaction between two levels of clouds, which can improve the efficiency of the service deployment and interaction. On this basis, the overall architecture of the wide-area cloud-edge service collaboration and interaction of the dispatching and control cloud is completed. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Network security

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research and Application of Cluster Monitoring and Management technology of the dispatching and Control Cloud Based on Hybrid Architecture 5

Research and Application of Cluster Monitoring and Managemen...

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5th IEEE Advanced Information Management, Communicates, Electronic and automation Control Conference, IMCEC 2022

作者： Wu, Shuzhou Huang, Yunhao Tao, Lei Xia, Wenyue Yang, Qingbo Wang, Yan Zhang, Zhoujie Feng, Qiong Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Haidian District Beijing100192 China

ISBN: (纸本)9781665479677

With the continuous expansion of the scale of control cloud construction, the application of the platform has gradually increased, and the calling relationship between application containers has become increasingly complex. Ensuring the safety and stability of the control cloud platform has become a key factor in maintaining the normal operation of power dispatching. Therefore, it is urgent to carry out research on monitoring and management technology for lightweight container clusters to regulate cloud platforms. This paper designs the overall architecture of a lightweight container cluster monitoring and management platform with a hybrid structure from the host dimension, container dimension and application dimension. On the premise of ensuring data accuracy, it reduces the proportion of resources in the monitoring system and improves the scalability of monitoring indicators. At the same time, simulation experiments are carried out in terms of index collection performance and dynamic expansion of monitoring indicators. The verification results show that the monitoring scheme based on the hybrid architecture can flexibly and dynamically monitor the cloud platform in real time and ensure the safe and stable operation of the cloud platform. © 2022 IEEE.

关键词： Containers

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Interactive Sharing Method of power Grid dispatching and Control Operation Data Based on Data Classification and Grading 9th

Interactive Sharing Method of Power Grid Dispatching and Con...

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9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Xie, Lin Ye, Ruili Wang, Yan Feng, Chaohan Li, Dapeng Zhang, Xiangyu Cui, Can Feng, Qiong Zhang, Zhoujie Sheng, Xinxin Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China Economic and Technological Research Institute State Grid Shanxi Electric Power Company Taiyuan China

ISBN: (纸本)9789819908554

The era of big data is characterized by rapid information change, large volume of data, many dimensions, and various types, which requires enterprises to classify and grade data management. Especially in the critical period of new power system construction, a method is needed to classify and share power grid dispatching and operation data safely. This paper analyzes the business characteristics of power grid dispatching and control data, and designs the classification principle of power grid dispatching and control operation data, and builds a data sharing open directory based on this principle, and proposes a method of interaction and sharing of power grid dispatching and control operation data. Finally, this paper realizes the internal sharing and external circulation of power grid dispatching and control data through the interaction process. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Grading

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Big Data Feature Mining Method for Energy Storage system of Photovoltaic power Station in Typical Scenarios

Big Data Feature Mining Method for Energy Storage System of ...

引用

Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Xinxin Sheng Qingbo Yang Ruili Ye Lin Xie Chaohan Feng Lei Tao Zhoujie Zhang Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

The energy storage system can effectively solve the challenges brought by the high proportion of renewable energy access to the power grid. In this paper, a big data feature mining method based on double-layer intelligent optimization algorithm is proposed. Considering the differences in operating conditions of energy storage systems in photovoltaic power stations caused by different seasonal scenarios and different weather scenarios, the improved bird swarm algorithm is proposed to mine the big data features of energy storage systems in photovoltaic power stations under typical weather scenarios. The inherent operation law of the energy storage system in the actual photovoltaic power station is revealed, and the charging and discharging characteristics of the actual energy storage system are reflected.

关键词： Photovoltaic systems Renewable energy sources Clouds Big Data Birds dispatching Data mining Optimization Energy storage Meteorology

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research on Complexity evaluation Method for Dispatch Automatic Generation Control Software Based on GRA

Research on Complexity Evaluation Method for Dispatch Automa...

引用

IEEE Information technology and Mechatronics Engineering Conference (ITOEC)

作者： Zechen Wei Nanyang Wang Zexi Zhang Juntao Chen Yujia Li Xiaolin Qi Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

With the increasing complexity of dispatch automatic generation control (AGC) systems, evaluating the software complexity has become essential for optimizing performance and improving reliability. This paper investigates the complexity evaluation of AGC software by analyzing its operational and functional characteristics. A complexity evaluation model is constructed from the perspectives of code structure and software structure. The model introduces a structural complexity indicator based on functional network density and evaluates corresponding metrics using the grey relational analysis (GRA) comprehensive evaluation method. Case studies are conducted to verify the feasibility and applicability of the proposed method. The results demonstrate that this model and evaluation method can provide valuable support for improving software quality, optimizing software testing strategies, and guiding the development of more efficient AGC systems.

关键词： Software testing Analytical models power system measurements Codes Mechatronics evaluation models Automatic generation control Software quality Complexity theory Software reliability

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evaluation technology of power Regulation Data Assets 9th

Evaluation Technology of Power Regulation Data Assets

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9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Wang, Yan Cui, Can Ye, Ruili Di, Fangchun Tao, Lei Xie, Lin Feng, Chaohan Feng, Qiong Song, Zhibin Qi, Huiwen Zhang, Xiangyu Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing100192 China State Grid Shanxi Electric Power Company Economic and Technological Research Institute Shanxi Taiyuan030602 China

ISBN: (纸本)9789819908554

With the rapid development of the Internet and big data technology and the in-depth application in the field of power regulation, power regulation data shows explosive growth. power regulation data runs through all aspects of power dispatching production and management. After years of operation, various business systems have accumulated rich information resources, which can bring huge profits to power grid enterprises. At present, the management and operation mode of data is relatively rough, and it is still used and managed by various business departments. As an intangible asset, the value of data has not been paid enough attention and deeply explored. Based on the characteristics of power regulation data and the factors affecting the value of data assets, combined with traditional evaluation algorithms, this paper studies the data asset value evaluation methods applicable to the field of power regulation;Based on the improved value evaluation method, a data asset evaluation model covering the cost, intrinsic value and use value of power regulation data is established to provide basic support for reasonable determination of big data asset value. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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