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Carbon efficiency evaluation method for urban energy system with multiple energy complementary

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Global Energy Interconnection 2024年第2期7卷 142-154页

作者： Xianan Jiao Jiekang Wu Yunshou Mao Mengxuan Yan School of Automation Guangdong University of TechnologyGuangzhou 510006P.R.China Guangzhou power supply bureau Guangdong Power Grid CompanySouth China Power GridGuangzhou 510660P.R.China School of Electronic Information and Electrical Engineering Huizhou UniversityHuizhou 516007P.R.China

Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade *** the context of the construction and operation strategy of UESs with multiple complementary energy resources,a comprehensive assessment of the energy efficiency is of paramount ***,a multi-dimensional evaluation system with four primary indexes of energy utilization,environmental protection,system operation,and economic efficiency and 21 secondary indexes is constructed to comprehensively portray the *** that the evaluation system may contain a large number of indexes and that there is overlapping information among them,an energy efficiency evaluation method based on data processing,dimensionality reduction,integration of combined weights,and gray correlation analysis is *** method can effectively reduce the number of calculations and improve the accuracy of energy efficiency ***,a demonstration project for a UES in China is *** energy efficiency of each scenario is assessed using six operational *** results show that Scenario 5,in which parks operate independently and investors build shared energy-storage equipment,has the best results and is best suited for green and low-carbon *** results of the comparative assessment methods show that the proposed method provides a good energy efficiency *** study provides a reference for the optimal planning,construction,and operation of UESs with multiple energy sources.

关键词： Urban energy systems(UESs) Multiple energy complementary system Carbon efficiency evaluation Data downscaling Subjective and objective weight Gray correlation analysis

Fault diagnosis of electric transformers based on infrared image processing and semi-supervised learning

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Global Energy Interconnection 2021年第6期4卷 596-607页

作者： Jian Fang Fan Yang Rui Tong Qin Yu Xiaofeng Dai Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing of China Southern power grid Co. LtdGuangzhou 510620P.R.China Guangzhou power supply bureau of guangdong power grid Co. LtdGuangzhou 510620P.R.China

It is crucial to maintain the safe and stable operation of distribution transformers,which constitute a key part of power *** the event of transformer failure,the fault type must be diagnosed in a timely and accurate *** this end,a transformer fault diagnosis method based on infrared image processing and semi-supervised learning is proposed ***,we perform feature extraction on the collected infrared-image data to extract temperature,texture,and shape features as the model reference ***,a generative adversarial network(GAN)is constructed to generate synthetic samples for the minority subset of labelled *** proposed method can learn information from unlabeled sample data,unlike conventional supervised learning ***,a semi-supervised graph model is trained on the entire dataset,i.e.,both labeled and unlabeled ***,we test the proposed model on an actual dataset collected from a Chinese electricity *** experimental results show that the use of feature extraction,sample generation,and semi-supervised learning model can improve the accuracy of transformer fault *** verifies the effectiveness of the proposed method.

关键词： Transformer Fault diagnosis Infrared image Generative adversarial network Semi-supervised learning

Reliability analysis for vertical integration of protection,measurement,merge unit,and intelligent terminal device

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Global Energy Interconnection 2023年第6期6卷 772-784页

作者： Ying Li Weiquan Wang Liang Zhang Zhujian Liang Zhenli Xu Yuansheng Liang Zhaoqing power supply bureau of guangdong grid Co.Ltd. Zhaoqing526000P.R.China School of Electric power Engineering South China University of TechnologyGuangzhou 510640P.R.China

The reliability analysis of vertically integrated protection devices is crucial for designing International Electrotechnical Commission(IEC)61850-based *** paper presents the hardware architecture of a four-inone vertically integrated device and the information transmission path of each function based on the functional information transmission chain of protection devices,measurement and control devices,merging units,and intelligent ***,a reliability analysis model of the protection device and its protection system is constructed using the fault tree analysis method while considering the characteristics of each module of the vertically integrated *** stability probability of the protection system in each state is analyzed by combining the state-transfer equations of line and busbar protection with a Markov ***,the failure rate and availability of the protection device and its protection system are calculated under different ambient temperatures using a 110 kV intelligent substation as an *** sensitivity of each device module is analyzed.

关键词： Vertical integration of secondary system device Reliability of secondary system IEC 61850-based substation Relay protection

Research on Intelligent Concentrator Based on Edge Computing Technology

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Research on Intelligent Concentrator Based on Edge Computing...

Design and application of intelligent concentrator based on Internet of things

第32届中国控制与决策会议

作者： Xiaojiang Chen Tinghui Lu Jijun Zeng Zheheng Liang Fengchan Guo Jin Li guangdong power grid Corporation Information Center Jiangmen power supply bureau Guangdong Power Grid Co.Ltd. School of Electrical Engineering and Automation Hefei University of Technology

At present,the power metering equipment used at the grass-level sends the collected data to the intelligent concentrator,and then it is stored and forwarded to the master station through the concentrator,and finally the data is processed through cloud computing of the main *** the concentrator currently used cannot process data,it brings great trouble to the system master *** at this situation,this paper proposes the design method of concentrator based on edge computing ***,the edge computing technology is introduced briefly,and then the problems of current concentrator are improved,and a new generation of intelligent concentrator is ***,the system function is designed as a whole,and the hardware architecture and communication scheme are *** system can not only solve the problem of data processing,but also has real-time monitoring and secure and reliable communication.

关键词： Intelligent concentrator Data processing Edge calculation,Real-time monitoring Secure communication

来源： cnki会议评论

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Design and application of intelligent concentrator based on ...

power transformer fault diagnosis considering data imbalance and data set fusion

第32届中国控制与决策会议

作者： Xiaojiang Chen Daohuan Jiang Ye Liu Jiangyao Wu Fengchan Guo Jin Li guangdong power grid Corporation Information Center Jiangmen power supply bureau Guangdong Power Grid Co.Ltd. School of Electrical Engineering and Automation Hefei University of Technology

Concentrators play an important relay role in the power metering of the power internet of *** order to realize the transformation of power metering automation to intelligence,this paper proposes a class of intelligent concentrators for the application of power IoT,which mainly adopts the idea of edge computing technology to fully tap the data potential of intelligent *** method considers the different scenarios in which the edge computing and cloud computing are applied in the power IoT,analyzes the feasibility of the edge computing technology applied to the power IoT intelligence of the *** addition,this paper discusses a class of concentrator intelligent solutions using edge computing technology,and considers the operation methods in combination with three data application *** introducing edge computing technology into the intelligent concentrator,it can realize the calculation offload of the cloud computing data center and reduce the system *** solution does not require excessive manual intervention,and can automatically implement the meter reading and data fusion processing,which effectively improves Operation and maintenance efficiency of electric energy metering system in the power IoT.

关键词： power internet of things Intelligent concentrator Edge computing Energy metering

来源： cnki会议评论

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High Voltage 2021年第3期6卷 543-554页

作者： Yang Zhang Hong Cai Chen Yaping Du Min Chen Jie Liang Jianhong Li Xiqing Fan Xin Yao Department of Building Service Engineering Hong Kong Polytechnic UniversityHong KongChina Academy for Advanced Interdisciplinary Studies and Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhenChina Research Institute State Grid Zhejiang Electric Power Co.LtdHangzhouChina Zhejiang Huayun Information Technology Co. LtdHangzhouChina State grid Zhejiang Electric power Co. LtdLishui Power Supply BureauLishuiChina guangdong Provincial Key Laboratory of Brain‐inspired Intelligent Computation Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhenChina

Improving the accuracy of transformer dissolved gas analysis is always an important demand for power ***,the requirement for large numbers of fault samples becomes an obstacle to this *** article creatively uses a large number of health data,which is much easier to obtain by power companies,to improve diagnosis *** investigations from the view of both data set and methodology to deal with this problem are presented.A data set consists of 9595 health samples and 993 fault samples is used for *** characteristics of the data set and the influence of the health data on diagnostic accuracy are *** performance of many state‐of‐art algorithms that handle the imbalanced prob-lem is ***,an efficient fault diagnosis algorithm named self‐paced ensemble(SPE)is *** SPE,classification hardness is proposed to include the data characteristic in the *** method can guarantee the diversity of the data set and keep high *** to the experiment results,the superior of SPE is confirmed and also proves that involving more health samples can improve transformer diagnosis when fault data are limited.

关键词： handle fault diagnosis

A User-Centric Approach to Activity Recognition and Guidance in Semantic Smart Home

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China Communications 2015年第S2期12卷 103-113页

作者： LI Haitao GUO Kun LU Yueming LI Yonghua South China University of Technology guangdong power grid Co. Ltd Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education

Wireless smart home system is to facilitate people's lives and it trend to adopt a more intelligent way to provide services. It is very desirable in the recent SH market for the system to recognize users' behaviors and automatically response the corresponding activities to satisfy users' actual demands. However, activity models in the existing approaches are usually defined separately through knowledge-driven methods. These approaches cause that the activity models can't be matched with the services dynamically. To address the problem, we develop the semantic association model and a novel approach of activity recognition and guidance is presented. In our approach, the smart devices and users' requirements are described by semantic models. When the requirements are detected and understood, smart gateway can provide appropriate services, achieving activity assistance. The semantic association model allows all related elements in smart home connect with each other logically. The approach has been implemented and the results show that the success rate of the approach based on semantic association model is higher than 33% at average as compared to the approach based on predefined models. The proposed approach can effectively help people who are in trouble with learning or remembering in the common life.

关键词： Internet of Things smart home activity recognition activity guidance semantic model

Building a Cloud-Based Energy Storage System through Digital Transformation of Distributed Backup Battery in Mobile Base Stations

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China Communications 2020年第4期17卷 42-50页

作者： Song Ci Yanglin Zhou Yuan Xu Xingjian Diao Junwei Wang Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Shanghai Institute of Microsyst&Information Technology CASShanghai 200050China Guangzhou power supply bureau Guangdong Power Grid Co.LtdGuangzhou 510620China Department of Computer Science University of PittsburghPA15260USA China Tower Company Limited Guangzhou518000China School of Information Science&Technology ShanghaiTech UniversityShanghai 200210China University of Chinese Academy of Sciences Beijing100039China

Battery energy storage systems(ESS) have been widely used in mobile base stations(BS) as the main backup power source. Due to the large number of base stations, massive distributed ESSs have largely stayed in idle and very difficult to achieve high asset utilization. In recent years, the fast-paced development of digital energy storage(DES) technology has revolutionized the traditional operation and maintenance of ESSs by transforming them into digital assets, further enabling battery energy storage services, raising up a new way to achieve a much higher utilization of such kind of largely idle ESS resources. In this paper, the disruptive DES technology will be introduced and its application under the context of mobile BSs will be studied, and then a cloud-based energy storage(CES) platform is proposed based on a large scale distributed DESs to provide a new cyber-enabled energy storage service to the local utility company. A real-world case study shows the effectiveness and efficiency of the CES platform.

关键词： digital energy storage dynamic reconfigurable battery network energy digitization software-defined battery system cloud energy storage

Inertial Positioning Technology and Caliper Inspection Based Pipeline Deformation Detection

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Inertial Positioning Technology and Caliper Inspection Based...