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Research on task scheduling and concurrent processing technology for energy internet operation platform

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Global energy Interconnection 2022年第6期5卷 579-589页

作者： Zhixiang Ji Xiaohui Wang Dan Wu China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China State Grid Fujian Electric Power Research Institute Fuzhou 350001P.R.China

The energy internet operation platform provides market entities such as energy users,energy enterprises,suppliers,and governments with the ability to interact,transact,and manage various operations.Owing to the large number of platform users,complex businesses,and large amounts of data-mining tasks,it is necessary to solve the problems afflicting platform task scheduling and the provision of simultaneous access to a large number of users.This study examines the two core technologies of platform task scheduling and multiuser concurrent processing,proposing a distributed task-scheduling method and a technical implementation scheme based on the particle swarm optimization algorithm,and presents a systematic solution in concurrent processing for massive user numbers.Based on the results of this study,the energy internet operation platform can effectively deal with the concurrent access of tens of millions of users and complex task-scheduling problems.

关键词： energy internet Distributed task scheduling Concurrent processing

Learning-based Green Workload Placement for energy internet in Smart Cities

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Journal of Modern Power Systems and Clean energy 2022年第1期10卷 91-99页

作者： Qihua Zhou Yanfei Sun Haodong Lu Kun Wang School of Automation and School of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjingChina School of internet of Things Nanjing University of Posts and TelecommunicationsNanjingChina Department of Electrical and Computer Engineering University of CaliforniaLos AngelesUSA

The energy internet is a fundamental infrastructure for deploying green city applications, where energy saving and job acceleration are two critical issues to address. In contrast to existing approaches that focus on static metrics with the assumption of complete prior knowledge of resource information, both application-level properties and energy-level requirements are realized in this paper by jointly considering energy saving and job acceleration during job runtime. Considering the online environment of smart city applications, the main objective is transferred as an optimization problem with a model partition and function assignment. To minimize the energy cost and job completion time together, a green workload placement approach is proposed by using the multi-action deep reinforcement learning method. Evaluations with real-world applications demonstrate the superiority of this method over state-of-the-art methods.

关键词： energy saving workload scheduling energy internet green city

Research on Intelligent Organization and Application of Multi-source Heterogeneous Knowledge Resources for energy internet

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Data Intelligence 2023年第1期5卷 75-99页

作者： Yuxuan Wang Liqun Luo Guangjian Li Department of Information Management Peking UniversityHaidian DistrictBeijing 100871China

To improve the informationization and intelligence of the energy internet industry and enhance the capability of knowledge services,it is necessary to organize the energy internet body of knowledge from existing knowledge resources of the State Grid,which have the characteristics of large scale,multiple sources,and heterogeneity.At the same time,the business fields of State Grid cover a wide range.There are many sub-fields under each business field,and the relationship between fields is diverse and complex.The key to establishing the energy internet body of knowledge is how to fuse the heterogeneous knowledge resources from multiple sources,extract the knowledge contents from them,and organize the different relationships.This paper considers transforming the original knowledge resources of State Grid into a unified and wellorganized knowledge system described in OWL language to meet the requirements of heterogeneous resource integration,multi-source resource organization,and knowledge service provision.For the State Grid knowledge resources mainly in XML format,this paper proposes a Knowledge Automatic Fusion and Organization idea and method based on XSD Directed Graph.According to the method,the XML corresponding XSD documents are transformed into a directed graph in the first stage during which the graph neural network detects hidden knowledge inside the structure to add semantic information to the graph.In the second stage,for other structured knowledge resources(e.g.,databases,spreadsheets),the knowledge contents and the relationships are analyzed manually to establish the mappings from structured resources to graph structures,using which the original knowledge resources are transformed into graph structures,and merged with the directed graphs obtained in the first stage to achieve the fusion of heterogeneous knowledge resources.And expert knowledge is introduced for heterogeneous knowledge fusion to further extend the directed graph.And in the third stage,the expanded directed graph is converted to the body

关键词： energy internet Knowledge resources Body of knowledge Intelligent knowledge organization

Security Protection Method of energy internet with Android

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Wuhan University Journal of Natural Sciences 2022年第1期27卷 11-16页

作者： ZHU Yayun JIANG Lin YUAN Anqi YUAN Yinghao China Electric Power Research Institute Beijing 100192China School of Cyber Science and Engineering Wuhan UniversityWuhan 430072HubeiChina

As a product of the combination of information and energy technology,the energy internet is enormous and complex,and the absence of security safeguards at any aspect of it can cause incalculable damage.Aiming at the problems that energy internet terminals are difficult to be trusted and the integrity of massive terminals cannot be guaranteed,this paper designs and implements a set of comprehensive credibility measures and security protection schemes,isolates various malicious operations,and ensures that the system is always in a credible state.Specifically,we develop a secure TF card control program in the Android terminal application layer to realize the overall security scheme.Experimental results prove that this security protection scheme can effectively detect illegal application packages in energy internet terminal devices,resist malicious programs,and protect key data from theft at the same time,achieving security protection in the“thing-to-thing”interconnection scenario of the energy internet.

关键词： energy internet trusted execution environment Android terminal secure TF card

energy internet in the Yangtze River Delta:opportunities, challenges,and suggestions

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Frontiers in energy 2018年第4期12卷 484-492页

作者： Zheng YAN Jiayi HU Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

energy internet is an internet of Things (IoT) based network, which combines the multi-energy flows and the information flows. In this review, the opportunities and the challenges posed to developing energy internet in the Yangtze River Delta are analyzed concerning detailed analysis of its advantages in various aspects and problems of its energy systems. Then the framework of energy internet in the Yangtze River Delta is constructed, according to which specific suggestions are also provided. This review is dedicated to helping the policy makers to draw the roadmap of future-oriented energy internet.

关键词： energy internet opportunities challenges suggestions the Yangtze River Delta

Fine-Grained Access Control Mechanism of energy internet

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Wuhan University Journal of Natural Sciences 2022年第3期27卷 231-239页

作者： MIAO Siwei ZHANG Xiaojuan LIU Zhe China Electric Power Research Institute Beijing 100192China School of Cyber Science and Engineering Wuhan UniversityWuhan 430072HubeiChina

The energy internet has generated huge amounts of information on the production devices,transmission devices,and energy consumption devices.The leakage of data in the collection,transmission,and storage process will cause serious security problems.The existing energy internet security methods rely on traditional access control mechanisms and specific network boundary defense mechanisms,which has the limitations of static strategies and coarse design.We combine the advantages of role-based access control(RBAC)and attribute-based access control(ABAC),and propose a trusted energy internet fine-grained access control model based on devices'attribute and users'roles.We have not only achieved fine-grained energy internet resource allocation,but also ensured that the access control process is related to the security status of the environment in real time.Experimental results show that the access control model can safely and accurately execute access decisions in the energy internet scenario,and the processing performance is more stable.

关键词： energy internet attribute-based access control(ABAC) access control trusted computing

energy internet or comprehensive energy network?

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Journal of Modern Power Systems and Clean energy 2015年第3期3卷 297-301页

作者： Yusheng XUE State Grid Electric Power Research Institute Nanjing 211000China

What needs to be developed from the concept of"Smart Grid"is that:when renewable energy sources are absolutely prevailing in power generation,distributed power generation and distributed energy storage systems are widespread across the grid,and electric vehicle charging loads are prevailing in power load demands,how can the power grid support electric power as a core secondary energy source,undertake the role of a bridge between primary energy and end-use energy,and achieve the coordination and the optimization in macro energy perspective;how to guarantee the security of both macro energy and environment as well as the reliability of electricity.If a new term is needed,it should be Comprehensive energy Network,not energy internet.

关键词： energy security Environmental security Primary energy Electric power End-use energy Smart grid energy internet Comprehensive energy network

Trading platform for cooperation and sharing based on blockchain within multi-agent energy internet

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Global energy Interconnection 2021年第4期4卷 384-393页

作者： Xiaohui Wang Peng Liu Zhixiang Ji China Electric Power Research Institute Beijing 100192P.R.China

With the release of the electricity sales side,large-scale small-capacity distributed power generation units are connected to the distribution side,forming multi-type market entities such as microgrids,integrated energy systems,and virtual power plants.With the large-scale integration of distributed energy,the energy market under the energy internet is different from a traditional transmission grid.It is currently developing in the direction of diversified entities and commodities,a flat structure,and a flexible and competitive multi-agent market mechanism.In this context,this study analyzes the value of combining blockchain and the electricity market presents the design of a blockchain trading framework for multi-agent cooperation and sharing of the energy internet.The nodes in market transactions are modeled through power system modeling in the physical layer and the transaction consensus strategy in the cyber layer;moreover,the nodes are verified in a modified IEEE 13 testing feeder of a distribution network.A transaction example is demonstrated using the multi-agent cooperation and sharing transaction platform based on the Ethereum private blockchain.

关键词： energy internet Distributed energy resource Electricity transaction Blockchain Multi-agent cooperation and sharing

Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China

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Frontiers in energy 2020年第2期14卷 241-253页

作者： Pei LI Guotian CAI Yuntao ZHANG Shangjun KE Peng WANG Liping GAO Guangzhou Institute of energy Conversion Chinese Academy of SciencesGuangzhou 510640China Key Laboratory of Renewable energy Chinese Academy of SciencesGuangzhou 510640China University of Chinese Academy of Sciences Beijing 100049China energy Development Research Institute CSGGuangzhou 510663China Nano Science and Technology Institute University of Science and Technology of ChinaSuzhou 215123China

To improve the overall efficiency of the energy system,the basic structure for the energy internet of coordination and optimization of“generation-grid-load-storage”of Huangpu District,Guangzhou,China is designed,while the arrangement for the output of centralized and distributed energy module and energy storage are proposed.Taking economic benefit maximization,environmental benefit maximization and energy efficiency maximization as sub-objectives,the mathematical model of multi-objective optimal allocation and operation strategy of the energy internet is established considering supply-demand balance constraints,equipment characteristic constraints,operation mode constraints,and energy conditions constraints.The calculation results show that without considering the outsourced electricity,the balanced strategy,the economic development strategy,the environmental protection strategy,and the energy efficiency strategy are obtained by calculation,which are all superior to the traditional energy supply strategy.Moreover,considering the outsourced electricity,the proportion of outsourced electricity to total electricity is 19.8%,which is the system optimization of the energy internet under certain power demand.Compared with other strategies without outsourced electricity,the outsourced electricity strategy can have a certain emission reduction effect,but at the same time reduce the economic benefit.Furthermore,the huge difference in demand for thermal and cooling load between industrial and commercial areas results in the installed capacity of gas distributed energy stations in industrial areas being nearly twice as large as that in commercial areas.The distributed photovoltaic power generation is allocated according to the proportion of the installed roof areas of photovoltaic power generation system in residential,industrial,and commercial areas.

关键词： generation-grid-load-storage energy internet economy-environment-energy efficiency multi-objective optimal allocation mathematical model