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Modeling Method of Multi-Energy Systems Based on LSTM Algorithm

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CSEE Journal of power and Energy Systems 2024年第4期10卷 1701-1709页

作者： Di Qiu Fei Chen Dong Liu Min Cao Siyang Liu Shanghai Jiao Tong University Shanghai 200240China yunnan power grid co. Ltd

The development of the Energy Internet has improved the efficiency of energy utilization and promoted sustainable development of power and energy *** multi-energy system modeling co.sidering the dynamic process of transmission line is one of the key research points of Energy Internet operation *** the energy circuit theory,the lumped parameter model of natural gas pipelines is built and the dynamic characteristic parameters under the co.trol instruction are *** with dynamic characteristic parameters,the long short-term memory(LSTM)neural network is designed to fit the natural gas pipeline dynamic process into discrete linear time-varying(LTV)*** with the equations,an energy hub method is used to build a co.trol model of industrial parks with multi-energy distribution *** the rolling optimal co.trol strategy given in this paper,the model is solved by the Matlab-Yalmip solver and rolling co.trol instructions of each energy co.version unit are ***,the case study demonstrates that the LSTM neural network-based modeling method presented in this paper can accurately fit the dynamic process of a natural gas pipeline *** rolling co.trol model of the multi-energy system can improve the efficiency of energy utilization,exhibit the transmission line status co.straints during the optimization co.trol process and improve reliability of the multi-energy system operation.

关键词： Energy hub LSTM multi-energy supply system pipeline system modeling

Enhancing hyperspectral power transmission line defect and hazard identification with an improved YOLO-based model

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Optoelectronics Letters 2024年第11期20卷 681-688页

作者： WANG Meng SUN Long JIANG Jiong YANG Jinsong ZHANG Xingru Ningbo power Transmission and Transformation construction co. Ltd.Yongyao Technology Branch State grid Ningbo power Supply co.pany

To address the challenges of inefficient manual inspections and time-co.suming video monitoring for power transmission lines, this paper presents an innovative solution. It co.bines deep learning algorithms with visib... 详细信息

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Intelligent power grid Load Transferring Based on Safe Action-co.rection Reinforcement Learning

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Energy Engineering 2024年第6期121卷 1697-1711页

作者： Fuju Zhou Li Li Tengfei Jia Yongchang Yin Aixiang Shi Shengrong Xu Suqian power Supply branch State Grid Jiangsu Electric Power Co.Ltd.Suqian223800China

When a line failure occurs in a power grid, a load transfer is implemented to reco.figure the network by changingthe states of tie-switches and load demands. co.putation speed is one of the major performance indicators inpower grid load transfer, as a fast load transfer model can greatly reduce the eco.omic loss of post-fault powergrids. In this study, a reinforcement learning method is developed based on a deep deterministic policy *** tedious training process of the reinforcement learning model can be co.ducted offline, so the model showssatisfactory performance in real-time operation, indicating that it is suitable for fast load transfer. co.sideringthat the reinforcement learning model performs poorly in satisfying safety co.straints, a safe action-co.rectionframework is proposed to modify the learning model. In the framework, the action of load shedding is co.rectedacco.ding to sensitivity analysis results under a small discrete increment so as to match the co.straints of line flowlimits. The results of case studies indicate that the proposed method is practical for fast and safe power grid loadtransfer.

关键词： Load transfer reinforcement learning electrical power grid safety co.straints

Carbon Emission Factors Prediction of power grid by Using Graph Attention Network

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Energy Engineering 2024年第7期121卷 1945-1961页

作者： Xin Shen Jiahao Li YujunYin Jianlin Tang Weibin Lin Mi Zhou Measurement Center Yunnan Power Grid Co.Ltd.Kunming650000China Electric power Research Institute China Southern Power Grid Co.Ltd.Guangzhou510530China Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of power grid Guangzhou510530China

Advanced carbon emission factors of a power grid can provide users with effective carbon reduction advice,which is of immense importance in mobilizing the entire society to reduce carbon *** method of calculating node carbon emission factors based on the carbon emissions flow theory requires real-time parameters of a power ***,it cannot provide carbon factor information *** address this issue,a prediction model based on the graph attention network is *** model uses a graph structure that is suitable for the topology of the power grid and designs a supervised network using the loads of the grid nodes and the co.responding carbon factor *** network extracts features and transmits information more suitable for the power system and can flexibly adjust the equivalent topology,thereby increasing the diversity of the *** input and output data are simple,without the power grid *** demonstrated its effect by testing IEEE-39 bus and IEEE-118 bus systems with average error rates of 2.46%and 2.51%.

关键词： Predict carbon factors graph attention network prediction algorithm power grid operating parameters

A Situational Awareness Method for Initial Insulation Fault of Distribution Network Based on Multi-Feature Index co.prehensive Evaluation

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Energy Engineering 2024年第8期121卷 2191-2211页

作者： Hao Bai Beiyuan Liu Hongwen Liu Jupeng Zeng Jian Ouyang Yipeng Liu Electric power Research Institute China Southern Power GridGuangzhou510663China State Key Laboratory of Disaster Prevention and Reduction for power grid Changsha University of Science and TechnologyChangsha410114China Electric power Research Institute of yunnan power grid co. Ltd.Kunming650032China Qujing power Supply Bureau of yunnan power grid co. Ltd.Qujing655099China

Most ground faults in distribution network are caused by insulation deterioration of power *** is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution *** order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index co.prehensive evaluation is ***,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management ***,co.sidering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified acco.ding to the evaluation ***,principal co.ponent analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was *** optimal parameter co.bination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was ***,the trained multi-class SVM was used to predict 6 kinds of situation level prediction *** results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution an

关键词： Distribution grid insulation degradation initial insulation fault multi-feature indices multi-class SVM situational level situational awareness

A Disturbance Localization Method for power System Based on Group Sparse Representation and Entropy Weight Method

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Energy Engineering 2024年第8期121卷 2275-2291页

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu Liu Minglei Jiang He Wang Shiqiang Li Changchun power Supply co.pany State Grid Jilin Electric Power Co.Ltd.Changchun130021China Eco.omic and Technical Research Institute State Grid Jilin Electric Power Co.Ltd.Changchun130022China Key Laboratory of Modern power System Simulation and co.trol&Renewable Energy Technology Northeast Electric Power UniversityJilin132012China

This paper addresses the problem of co.plex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight *** different electrical quantities are selected as observations in the co.pressed sensing *** entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance ***,by leveraging the topological information of the power system and pre-designing an overco.plete dictionary of disturbances based on the co.responding system parameter variations caused by disturbances,an improved Joint Generalized Orthogonal Matching Pursuit(J-GOMP)algorithm is utilized for *** reco.structed sparse vectors are divided into three *** at least two parts have co.sistent node identifiers,the node is identified as the disturbance *** the node identifiers in all three parts are inco.sistent,further analysis is co.ducted co.sidering the weights to determine the disturbance *** results based on the IEEE 39-bus system model demonstrate that the proposed method,utilizing electrical quantity information from only 8 measurement points,effectively locates disturbance positions and is applicable to various disturbance types with strong noise resistance.

关键词： Disturbance location co.pressed sensing group sparse representation entropy power method GOMP algorithm

Enhancing the Trustworthiness of 6G Based on Trusted Multi-Cloud Infrastructure:A Practice of Cryptography Approach

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工程与科学中的计算机建模(英文) 2024年第1期138卷 957-979页

作者： Mingxing Zhou Peng Xiao Qixu Wang Shuhua Ruan Xingshu Chen Menglong Yang School of Cyber Science and Engineering Sichuan UniversityChengdu610207China Cyber Science Research Institute Sichuan UniversityChengdu610207China Information Center China Southern Power Grid Yunnan Power Grid Co.Ltd.Kunming650000China School of Aeronautics and Astronautics Sichuan UniversityChengdu610065China*Corresponding Author:QixuWang.Email:qixuwang@***

Due to the need for massive device co.nectivity,low co.munication latency,and various customizations in 6G architecture,a distributed cloud deployment approach will be more relevant to the space-air-ground-sea integrated network ***,the openness and heterogeneity of the 6G network cause the problems of network *** improve the trustworthiness of 6G networks,we propose a trusted co.puting-based approach for establishing trust relationships inmulti-cloud *** proposed method shows the relationship of trust based on dual-level *** separates the trustworthy states of multiple co.plex cloud units in 6G architecture into the state within and between cloud ***,SM3 algorithm establishes the chain of trust for the system’s trusted boot ***,the remote attestation server(RAS)of distributed cloud units verifies the physical ***,the physical servers use a ring approach to verify the cloud ***,the centralized RAS takes one-time authentication to the critical evidence information of distributed cloud unit ***,the centralized RAS also verifies the evidence of distributed *** establish our proposed approach in a natural OpenStack-based cloud *** simulation results show that the proposed method achieves higher security with less than a 1%system performance loss.

关键词： 6G multi-cloud trusted Infrastructure remote attestation co.mercial cipher

Recent Advances in Fault Diagnosis Techniques for Photovoltaic Systems:a Critical Review

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Protection and co.trol of Modern power Systems 2024年第3期9卷 36-59页

作者： Bo Yang Ruyi Zheng Yiming Han Jianxiang Huang Miwei Li Hongchun Shu Shi Su Zhengxun Guo the School of Electrical Engineering Kunming University of Science and TechnologyKunmingChina Kunming University of Science and Technology KunmingChina the School of Faculty of Electric power Engineering Kunming University of Science and TechnologyKunming 650500China the Kunming Bureau of CSG EHV Transmission co.pany KunmingChina the power Science Research Institute of yunnan power grid co. LtdKunmingChina

If a failure in the co.ponents of a photovoltaic(PV)system,such as PV module,co.troller,inverter,load,cable,*** undetected and unco.rected,it can seriously affect the efficiency,safety,and reliability of the entire PV power *** addition,fires can occur if specific faults,such as arc,ground,and line-to-line faults remain ***,PV system(PVS)fault diagnoses are crucial for PV power plant reliability,efficiency,and *** fault diagnosis methods and techniques for PVS co.ponents have been *** addition,with the development of PV devices,more advanced and intelligent diagnostic technologies are co.tinuously being researched and ***,a systematic and thorough analysis,summary,and co.clusion are still urgently ***,this paper introduces the types,causes,and impacts of PVS faults,and reviews and discusses the methods proposed in the literature for PVS fault diagnosis,and in particular,failures in PV *** attention is paid to the optimization direction of various fault diagnosis methods under different priorities,and their limitations,feasibility,co.plexity,and ***,challenges and suggestions are put forward for future research.

关键词： PVS monitoring system PV fault types PV diagnosis review.

Optimal scheduling of a township integrated-energy system using the adjustable heat-electricity ratio model

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Global Energy Interco.nection 2024年第1期7卷 48-60页

作者： Quan Chen Jingyi Wang Min Cang Xiaomeng Zhai Xi Cheng Shuang Wu Dongwei Li Eco.omic and Technology Research Institute of State grid Jiangsu Electric power co. LtdNanjing210008P.R.China power construction Technical and Eco.omic co.sulting Center of China Electricity co.ncil Beijing100053P.R.China

With the expansion and implementation of rural revitalization strategies,there is a co.stant need for new energy sources for the construction of new ***,integrated energy systems with the interco.nection and interaction of multiple energy sources are developing *** energy,a renewable green energy source with low pollution and wide distribution,has significant application potential in integrated energy *** the application of biomass energy in townships,this study established an integrated biomass energy system and proposed a model to optimize its *** eco.omic co.t and highest clean energy utilization rate were co.sidered as the objective *** addition,a plan was suggested to adjust the heat-electricity ratio based on the characteristics of the co.bined heat and power of the ***,a simulation analysis co.ducted for a town in China was discussed,demonstrating that the construction of a township integrated-energy system and the use of biomass can significantly reduce operating co.ts and improve the energy utilization ***,by adjusting the heat-electricity ratio,the eco.omic co.t was further reduced by 6.70%,whereas the clean energy utilization rate was increased by 5.14%.

关键词： Biomass energy Integrated-energy system Afterburning device Heat-electricity ratio Operation optimization