2021 IEEE International Conference on Energy Internet (ICEI)最新文献_第4页

Improving Physical Layer Security Using Multi-UAVs-Enabled Mobile Relaying 使用多无人机支持的移动中继提高物理层安全性

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00028

Tianyu Lan, Zhiqun Hu, Yujing Zhang

引用次数: 1

CPS Modeling and Analysis Method of Power Grid Based on Graph Computing 基于图计算的电网CPS建模与分析方法

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00032

Mingyue Wei, Bo Chai, Siyan Liu, Shaopeng Quan, Zikai Zhu, Wei Li

{"title":"CPS Modeling and Analysis Method of Power Grid Based on Graph Computing","authors":"Mingyue Wei, Bo Chai, Siyan Liu, Shaopeng Quan, Zikai Zhu, Wei Li","doi":"10.1109/ICEI52466.2021.00032","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00032","url":null,"abstract":"With the development of the energy Internet, the increasing coupling degree and huge data complexity of the cyber-physical system (CPS) of the power grid have put forward higher requirements for the efficiency of analysis and calculation. Graph database and graph computing technologies are new databases and computing technologies that have emerged in recent years that can be based on massive data-parallel processing, which can intuitively express the power grid topology and perform efficient processing and calculations. This paper proposes a CPS dynamic analysis tool based on graph database and graph calculation. Firstly, based on the graph database, the data is combed and modeled from the component level to the topology network level on the physical side of the power grid and the associated features are extracted, described and stored. Secondly, a fusion graph model that can be used for dynamic analysis is built for the power grid CPS system, and a visual display platform that can nest business scenario analysis and calculation functions is developed. Based on the graph database model and the graph computing technology, the component attribute status query is realized. The network topology area identification, dynamic feature analysis, hybrid calculation and other visualization functions are also realized. Through the test in the 62-node CPS network, the results show that this analysis tool can significantly improve the equipment operation monitoring and network optimization control efficiency of the CPS system.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131241006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Outlook of Flexibility Aggregation of Distributed Energy Sources over a Blockchain-enabled Energy Internet 基于区块链能源互联网的分布式能源灵活聚合展望

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00037

Qiaoyin Yang, Sun Zhengyun, Chen Sheng, Zhong Haiwang, H. Hua

{"title":"An Outlook of Flexibility Aggregation of Distributed Energy Sources over a Blockchain-enabled Energy Internet","authors":"Qiaoyin Yang, Sun Zhengyun, Chen Sheng, Zhong Haiwang, H. Hua","doi":"10.1109/ICEI52466.2021.00037","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00037","url":null,"abstract":"China aims to have CO2 emissions peak before 2030 and achieve carbon neutrality before 2060. This announcement positioned the fast-growing information and communication technology industry in China to begin transitioning toward building a low-carbon or zero-emission Information and communication industry. The ICT infrastructure such as IDCs is growing to be multi-MW loads in many cities. Meanwhile, the fast-growing blockchain-based digital economy exacerbates energy consumption, especially driven by the consensus proof of work mechanism by Bitcoin. The paper discussed the technical architecture of integrating distributed resources via flexibility aggregation such as internet data center loads and energy storage systems into Blockchain-based energy internet. This Blockchain-powered distributed energy resources aggregation aims to support local renewable generation and consumption via blockchain-secured peer-to-peer energy trading. The architecture for such energy transactions should be built with considerations for resilience, scalability, and availability. This paper discussed the challenges of meeting carbon emission goals for the information and communication industry in China, the availability and characteristics of ESS and IDC UPS as flexible resources in the blockchain-enabled peer-to-peer energy trading architecture. Lastly, the paper summarizes a framework for the construction of the new electric power grid in a response to China’s ambition to achieve her 2030 and 2060’s carbon neutrality goals.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis of Distribution Network Safety Margin Index under Multivariate Uncertain Scenes 多元不确定场景下配电网安全裕度指标分析

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00012

Nan Hu, Ting Huang, Geliang Chen, L. Dai, Jiaye Tuo, Miao Jia

{"title":"Analysis of Distribution Network Safety Margin Index under Multivariate Uncertain Scenes","authors":"Nan Hu, Ting Huang, Geliang Chen, L. Dai, Jiaye Tuo, Miao Jia","doi":"10.1109/ICEI52466.2021.00012","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00012","url":null,"abstract":"With the development of Energy Internet, the increasing number of renewable energy resources (RESs) are integrated into the existing energy systems. Besides, as the traditional consumers are gradually transforming into prosumers, the active users have the potential ability of participating in the regulation of energy. To take a better advantage of the RESs and mitigate the stochasticity and intermittence brought by the renewable power generation, we make an analysis of multiple sorts of RESs from the aspect of their operation characteristics and regulative potential. In addition, in order to ensure the operation safety of the distribution network, we provide several suggestions on the formulation of distribution network, which are appropriately to be applied to diverse typical scenes. Compared with traditional strategy, we consider the exploration of demand side resources and the characterization system combining the demand side with generation side. In this paper, the multiple uncertainty of the distribution safety is analyzed, which provides the basis for the safety of distribution network operation and reliability index representation system. Finally, according to different characteristic types of loads and the situation of fundamental facilities, different approaches of the integration of loads are analyzed, and the support ability of collaborative optimization with demand side resource is analyzed as well.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131181357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probabilistic Power Flow Calculation of Microgrid Based on ℓ1-Minimization 基于1-最小化的微电网潮流概率计算

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00013

Hong Liang, Tonghe Wang, Jian Guo, Junwei Cao

引用次数: 1

Research on Power Quality Monitoring Method of Distribution Network based on Intelligent Fusion Terminal* 基于智能融合终端的配电网电能质量监测方法研究*

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00016

Yuexia Du, Zhu Liu, Lvchao Huang, Limin Wang, Jinguo Fang, Shuai Zhang

{"title":"Research on Power Quality Monitoring Method of Distribution Network based on Intelligent Fusion Terminal*","authors":"Yuexia Du, Zhu Liu, Lvchao Huang, Limin Wang, Jinguo Fang, Shuai Zhang","doi":"10.1109/ICEI52466.2021.00016","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00016","url":null,"abstract":"At present, distributed generation, microgrid, energy storage and electric vehicles are widely connected to the power grid, which makes the power grid show obvious imbalance in space and time. The power quality problem of distribution network is more and more prominent. It is necessary to realize the large-scale power quality monitoring of distribution network. In order to solve the lack of large-scale power quality monitoring of distribution network economically, this paper studies a power quality monitoring method of distribution network based on Intelligent Fusion terminal under the framework of Internet of things. The terminal and method realize the monitoring of voltage and current harmonics, three-phase imbalance and other power quality indexes, and meet the economic requirements of power quality monitoring of distribution network. The test results show that the method achieves 2–50th harmonic monitoring, the accuracy error is less than 2%, and the basic monitoring time window meets the requirements of gapless and non-overlapping 10 cycles; The accuracy error of three-phase unbalance monitoring is less than 0.065%. The test results verify the accuracy of the monitoring method, which can be applied to power quality monitoring of distribution network.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124861841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Distributed Point-to-Point Energy Trading System Based on Blockchain Privacy Protection 基于区块链隐私保护的分布式点对点能源交易系统

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00035

Xiaoyun Kuang, Baorong Zhou, Yixin Jiang, Pingping Xie, Peiming Xu, Yunan Zhang

{"title":"A Distributed Point-to-Point Energy Trading System Based on Blockchain Privacy Protection","authors":"Xiaoyun Kuang, Baorong Zhou, Yixin Jiang, Pingping Xie, Peiming Xu, Yunan Zhang","doi":"10.1109/ICEI52466.2021.00035","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00035","url":null,"abstract":"Centralized traditional electricity trading systems often face many problems such as high maintenance costs, low transaction information transparency, and untimely clearing of funds when faced with massive, high-frequency, and small-value transactions of distributed energy [1]. In response to these problems, many scholars have proposed distributing energy trading schemes based on blockchain technology by virtue of its excellent features such as distributed storage, non-tampering, traceability, and credibility. However, ordinary blockchains such as early Bitcoin, with their open and transparent on-chain transactions, can easily make the privacy and security of data from multiple parties challenging. In response to this problem, this paper proposes a distributed point-to-point energy transaction system based on ChainSQL blockchain privacy protection, and proposes a high-security and strong privacy blockchain transaction system that encrypts transaction data and has data authority management. Making full use of smart contract technology, our scheme realizes automatic settlement, traceability, and auditability of electricity transaction data.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130208021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Bidding Strategy of Load Aggregators for the Auxiliary Service Market of Peak Shaving and Valley Filling 调峰填谷辅助服务市场负荷集成商最优竞价策略研究

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-09-01 DOI: 10.1109/ICEI52466.2021.00040

Jinkun Liu, Xingying Chen, Hantao Liu, Kun Yu, Lei Gan, H. Hua

{"title":"Optimal Bidding Strategy of Load Aggregators for the Auxiliary Service Market of Peak Shaving and Valley Filling","authors":"Jinkun Liu, Xingying Chen, Hantao Liu, Kun Yu, Lei Gan, H. Hua","doi":"10.1109/ICEI52466.2021.00040","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00040","url":null,"abstract":"China’s existing methods of regulating and adjusting resources are difficult to achieve optimal allocation of resources. Load aggregators can participate in market operations by integrating dispersed adjustable resources to increase the flexibility of resource scheduling. In order to encourage load aggregators to participate in peak-shaving and valley-filling services in the power auxiliary service market, this paper develops an optimal bidding strategy model to optimize the bidding curve of load aggregators. Since there is a deviation between the actual daily electricity consumption in the market and the bid amount in the day-ahead market, the power deviation is additionally considered by this paper. Due to the bidding curves of other entities in the market are unknown, this paper proposes a random optimization method using Monte Carlo simulation. The results show that under different market environments, load aggregators can benefit by optimizing their bidding curves, and a loose market environment can stimulate their enthusiasm for participation.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"43 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management? 显式预测在基于深度强化学习的能量管理中重要吗?

2021 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2021-08-11 DOI: 10.1109/ICEI52466.2021.00009

Zhaoming Qin, Huaying Zhang, Yuzhou Zhao, Hong Xie, Junwei Cao

引用次数: 0