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Effects of BN on the Mechanical and Thermal Properties of PP/BN Composites

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Journal of Wuhan University of Technology(Materials Science) 2024年第2期39卷 345-352页

作者：陈厚振王艳芝 NAN Yu WANG Xu YUE Xianyang ZHANG Yifei FAN Huiling School of Textiles Zhongyuan University of TechnologyZhengzhou 451191China Kaifeng power supply company State Grid Henan Electric Power CompanyKaifeng 475000China School of Materials Science and Engineering Zhejiang University of TechnologyHangzhou 310014China Zhengzhou Hengtian Copper Co. Ltd.Zhengzhou 451100China

In order to explore the thermal conductivity of polypropylene(PP)/hexagonal boron nitride(BN) composites,PP composites filled with different proportions of BN were prepared through extrution compounding,injection moulding and compression *** composites were filled with BN particles of 5 and 20 μm respectively,and their mass fractions in composites were *** of BN was varied from 0 to 25wt% in steps of 5wt%.The effects of BN filler on mechanical properties of the composites were *** thermal behaviors were studied using DSC and TGA,and the thermal conductivity was also investigated by Laser Flash Device and the Model of 3D Heat Conduction *** experimental results show that impact strength of PP/BN can be enhanced with the addition of BN,but that composites exhibit lower breaking elongation & tensile strength when compared to unfilled *** is found that mass fraction of BN influenced the final thermal stability and degree of crystallization of PP matrix,the degree of crystallization of PP with 15wt% of 20 μm BN can be improved by 25% than neat ***,crystallization temperatures of PP composites are elevated by about 10 ℃.The thermal conductivity results demonstrate that the maximum value of the thermal conductivity is achieved from PP/BN with 20wt% of 20 μm BN,higher than that of pure PP by 95.65%,close to the simulation one.

关键词： thermal properties polypropylene composites hexagonal boron nitride

Combined Optimal Dispatch of Thermal power Generators and Energy Storage Considering Thermal power Deep Peak Clipping and Wind Energy Emission Grading Punishment

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Energy Engineering 2024年第4期121卷 869-893页

作者： Junhui Li Xuanzhong Luo Changxing Ge Cuiping Li Changrong Wang Key Laboratory of Modern power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityMinistry of EducationJilin132012China Songyuan power supply company State Grid Jilin Electric Power Co.Ltd.Songyuan138000China Changchun power supply company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Jilin Electric power Co. Ltd.Jilin Songhuajiang Thermal Power Generation Co.Ltd.Jilin132012China

Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal power generators and BESS(battery energy storage system)taking wind energy emission grading punishment and deep peak clipping into ***,in order to minimize wind abandonment,a hierarchical wind abandonment penalty strategy based on fuzzy control is designed and introduced,and the optimal grid-connected power of wind energy is determined as a result of minimizing the peak cutting cost of the ***,considering BESS and thermal power,the management approach of BESS-assisted virtual peak clipping of thermal power generators is aimed at reducing the degree of deep peak clipping of thermal power generators and optimizing the output of thermal power generators and the charging and discharging power of ***,Give an example of how this strategy has been effective in reducing abandonment rates by 0.66% and 7.46% individually for different wind penetration programs,and the daily average can reduce the peak clipping power output of thermal power generators by 42.97 and 72.31 MWh and enhances the effect and economy of system peak clipping.

关键词： BESS wind energy deep peak clipping virtual peak clipping wind energy emission grading punishment

Distributed Photovoltaic Real-Time Output Estimation Based on Graph Convolutional Networks

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 290-296页

作者：陈利跃洪道鉴何星卢东祁张乾谢妮娜徐一洲应煌浩 state grid Zhejiang Electric power Co. Ltd.Hangzhou 310007China state grid Zhejiang Taizhou power supply company Taizhou 318000ZhejiangChina Department of Automation School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

The rapid growth of distributed photovoltaic(PV)has remarkable influence for the safe and economic operation of power *** view of the wide geographical distribution and a large number of distributed PV power stations,the current situation is that it is dificult to access the current dispatch data *** to the temporal and spatial characteristics of distributed PV,a graph convolution algorithm based on adaptive learning of adjacency matrix is proposed to estimate the real-time output of distributed PV in regional power *** actual case study shows that the adaptive graph convolution model gives different adjacency matrixes for different PV stations,which makes the corresponding output estimation algorithm have higher accuracy.

关键词： distributed photovoltaic(PV) graph convolution network power estimation

Energy Economic Dispatch for Photovoltaic-Storage via Distributed Event-Triggered Surplus Algorithm

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Energy Engineering 2024年第9期121卷 2621-2637页

作者： Kaicheng Liu Chen Liang Naiyue Wu Xiaoyang Dong Hui Yu China Electric power Research Institute Beijing100192China Electric power Research Institute of state grid Gansu Electric power company Lanzhou730000China state Key Laboratory of power grid Safety Beijing100084China

This paper presents a novel approach to economic dispatch in smart grids equipped with diverse energy *** method integrates features including photovoltaic(PV)systems,energy storage coupling,varied energy roles,and energy supply and demand *** systemmodel is developed by considering energy devices as versatile units capable of fulfilling various functionalities and playing multiple roles *** strike a balance between optimality and feasibility,renewable energy resources are modeled with considerations for forecasting errors,Gaussian distribution,and penalty ***,this study introduces a distributed event-triggered surplus algorithm designed to address the economic dispatch problem by minimizing production *** in surplus theory and finite time projection,the algorithm effectively rectifies network imbalances caused by directed graphs and addresses local inequality *** algorithm greatly reduces the communication burden through event triggering ***,both theoretical proofs and numerical simulations verify the convergence and event-triggered nature of the algorithm.

关键词： Fully distributed algorithm economic dispatch directed graph renewable energy resource

An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang Key Laboratory of Modern power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan power supply company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

Comprehensive Evaluation of Distributed PV grid-Connected Based on Combined Weighting Weights and TOPSIS-RSR Method

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Energy Engineering 2024年第3期121卷 703-728页

作者： Yue Yang Jiarui Zheng Long Cheng Yongnan Zhu Hao Wu Key Laboratory of Modern power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Siping Suburban power supply company State Grid Jilin Electric Power Co.Ltd.Siping136000China

To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution(TOPSIS)—rank sum ratio(RSR)(TOPSIS-RSR)*** on the traditional distribution network evaluation system,a comprehensive evaluation system has been *** fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid *** analytic hierarchy process(AHP)was used to determine the subjective weights of the primary indicators,and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment *** subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum *** the distance between the indicators to be evaluated and the positive and negative ideal solutions,the relative closeness ranking,and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different *** setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm,the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.

关键词： Distributed PV grid-connected comprehensive evaluation evaluation indicator system combined subjective and objective empowerment TOPSIS-RSR method

Energy Blockchain in Smart Communities: Towards Affordable Clean Energy supply for the Built Environment

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Energy Engineering 2024年第8期121卷 2313-2330页

作者： Mingguan Zhao Lida Liao Penglong Liang Meng Li Xinsheng Dong Yang Yang Hongxia Wang Zhenhao Zhang Electric power Research Institute State Grid Xinjiang Electric Power Co.Ltd.Urumqi830013China School of Energy and power Engineering Changsha University of Science&TechnologyChangsha410114China Kumul power supply company State Grid Xinjiang Electric Power Co.Ltd.Urumqi830013China Xinjiang Key Laboratory of Extreme Environment Operation and Detection Technology of power Transmission&Transformation Equipment Urumqi830013China

The rapid growth of distributed renewable energy penetration is promoting the evolution of the energy system toward decentralization and decentralized and digitized smart *** study was based on energy blockchain,and developed a dual-biding mechanism based on the real-time energy surplus and demand in the local smart grid,which is expected to enable reliable,affordable,and clean energy supply in smart *** the proposed system,economic benefits could be achieved by replacing fossil-fuel-based electricity with the high penetration of affordable solar PV *** reduction of energy surplus realized by distributed energy production and P2P energy trading,within the smart grid results in less transmission loss and lower requirements for costly upgrading of existing *** adopting energy blockchain and smart contract technologies,energy secure trading with a low risk of privacy leakage could be *** prototype is examined through a case study,and the feasibility and efficiency of the proposed mechanism are further validated by scenario analysis.

关键词： Solar PV smart community energy blockchain P2P energy trading smart grid affordable energy supply

Real-Time Safety Behavior Detection Technology of Indoors power Personnel Based on Human Key Points

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 309-315页

作者：杨坚李聪敏洪道鉴卢东祁林秋佳方兴其喻谦张乾 state grid Zhejiang Taizhou power supply company Taizhou 318000ZhejiangChina Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Zhejiang Huayun Information Technology Co. Ltd.Hangzhou 310012China

Safety production is of great significance to the development of enterprises and *** often cause great losses because of the particularity environment of electric ***,it is important to improve the safety supervision and protection in the electric power *** this paper,we simulate the actual electric power operation scenario by monitoring equipment and propose a real-time detection method of illegal actions based on human body key points to ensure safety behavior in real *** this method,the human body key points in video frames were first extracted by the high-resolution network,and then classified in real time by spatial-temporal graph convolutional *** results show that this method can effectively detect illegal actions in the simulated scene.

关键词： real-time behavior recognition human key points high-resolution network spatial-temporal graph convolutional network

Real-Time Energy Management for Net-Zero power Systems Based on Shared Energy Storage

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Journal of Modern power Systems and Clean Energy 2024年第2期12卷 371-380页

作者： Pengbo Du Bonan Huang Ziming Liu Chao Yang Qiuye Sun School of Information Science and Engineering Northeastern UniversityShenyang 110004China Information and Communication Branch State Grid Liaoning Electric Power Company Ltd.Shenyang 110004China IEEE

Battery energy storage systems(BESSs)serve a crucial role in balancing energy fluctuations and reducing carbon emissions in net-zero power ***,the efficiency and cost performance have remained significant challenges,which hinders the widespread adoption and development of *** address these challenges,this paper proposes a real-time energy management scheme that considers the involvement of prosumers to support net-zero power *** scheme is based on two shared energy storage models,referred to as energy storage sale model and power line lease *** energy storage sale model balances real-time power deviations by energy interaction with the goal of minimizing system costs while generating revenue for shared energy storage providers(ESPs).Additionally,power line lease model supports peer-to-peer(P2P)power trading among prosumers through the power lines laid by ESPs to connect each *** model allows ESP to earn profits from the use of power lines while balancing power deviations and better consuming renewable *** results validate the effectiveness of the proposed scheme,ensuring stable power supply for net-zero power systems and providing benefits for both the ESP and prosumers.

关键词： Shared energy storage energy storage provider(ESP) energy management peer-to-peer(P2P)trading net-zero power system