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A CNN-Based Single-Stage Occlusion Real-Time Target Detection Method

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Journal of Intelligent Learning Systems and Applications 2024年第1期16卷 1-11页

作者： Liang Liu Nan Yang Saifei Liu Yuanyuan Cao Shuowen Tian Tiancheng Liu Xun Zhao Rizhao power supply company State Grid Shandong Electric Power Company Rizhao China School of Automation Beijing Information Science and Technology University Beijing China

Aiming at the problem of low accuracy of traditional target detection methods for target detection in endoscopes in substation environments, a CNN-based real-time detection method for masked targets is proposed. The method adopts the overall design of backbone network, detection network and algorithmic parameter optimisation method, completes the model training on the self-constructed occlusion target dataset, and adopts the multi-scale perception method for target detection. The HNM algorithm is used to screen positive and negative samples during the training process, and the NMS algorithm is used to post-process the prediction results during the detection process to improve the detection efficiency. After experimental validation, the obtained model has the multi-class average predicted value (mAP) of the dataset. It has general advantages over traditional target detection methods. The detection time of a single target on FDDB dataset is 39 ms, which can meet the need of real-time target detection. In addition, the project team has successfully deployed the method into substations and put it into use in many places in Beijing, which is important for achieving the anomaly of occlusion target detection.

关键词： Real-Time Mask Target CNN (Convolutional Neural Network) Single-Stage Detection Multi-Scale Feature Perception

Study on the water-tree ageing characteristics of polyethylene/organic montmorillonite and crosslinked polyethylene/organic montmorillonite nanocomposites

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High Voltage 2023年第2期8卷 262-273页

作者： Xiufeng Li Yunmeng Yang Qiang Wang Yuan Gao Wei Zhang Zhengdi Liu College of electrical and Electronic Engineering Shandong University of TechnologyZiboShandongChina state grid shandong electric power company Weihai Wendeng power supply company WendengShandongChina

The dispersion state of nanoparticles affects the properties of composites,and the crosslinking process of polymers affects the dispersion state of *** order to investigate the effects of crosslinking behaviour on the water-tree ageing characteristics of nanocomposite dielectrics at the molecular level,polyethylene/organic-montmorillonite(PE/organic montmorillonite(OMMT))and crosslinked polyethylene/organic-montmorillonite(XLPE/OMMT)nanocomposites were prepared by the melt blending method,after which the accelerated water-tree ageing experiments were conducted using a needle *** transform infrared spectroscopy,differential scanning calorimetry,successive self-nucleation annealing and scanning electron microscope(SEM)tests were conducted to characterise the properties of the samples before and after watertree *** results indicate that the initiation probability and the length of water trees in XLPE/OMMT are less than those in PE/*** carbonyl index in the watertree area of the two nanocomposites increases,indicating that the water-tree ageing is the result of electrochemical *** crystallisability of the water-tree area degrades,decreasing the crystallinity and the lamellar *** growth of water trees destroys molecular chains and crystal structures,which results in local *** are many holes for the water tree growth in the PE/OMMT ***,the crosslinked meshwork not only restricts the movement of macromolecular chains but also increases the stability of the lamellar barrier effect of *** combination of the two effects significantly improves the water-tree resistance of the XLPE/OMMT nanocomposite.

关键词： composites tree characteristics

Benefit allocation of electricity-gas-heat-hydrogen integrated energy system based on Shapley value

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Clean Energy 2023年第6期7卷 1381-1390页

作者： Yujiao Liu Yan Li Yiping Rong Guoliang Li Ruiqi Wang Haini Zhou Zaozhuang power supply company of state grid shandong Province electric power company Zaozhuang CityShandong 277101China state grid shandong Integrated Energy Services Jinan CityShandong 250021China

The integrated energy system is an important development direction for achieving energy transformation in the context of the low-carbon development era,and an integrated energy system that uses renewable energy can reduce carbon emissions and improve energy utilization *** electric power network and the natural gas network are important transmission carriers in the en-ergy field,so the coupling relationship between them has been of wide *** paper establishes an integrated energy system considering electricity,gas,heat and hydrogen loads;takes each subject in the integrated energy system as the research object;anal-yses the economic returns of each subject under different operation modes;applies the Shapley value method for benefit allocation;and quantifies the contribution value of the subject to the alliance through different influencing factors to revise the benefit allocation *** with the independent mode,the overall benefits of the integrated energy system increase in the cooperative mode and the benefits of all subjects *** to the different characteristics of different subjects in terms of environmental benefits,collaborative innovation and risk sharing,the benefit allocation is reduced for new-energy subjects and increased for power-to-gas sub-jects and combined heat and power generation units after revising the benefit allocation,to improve the matching degree between the contribution level and the benefit allocation under the premise of increased profit for each *** cooperative mode effectively enhances the economic benefits of the system as a whole and individually,and provides a useful reference for the allocation of benefits of integrated energy *** analysis shows that the revised benefit distribution under the cooperative model increases by 3.86%,4.08%and 3.13%for power-to-gas subjects,combined heat and power generation units,and new-energy units,respectively,compared with the independent function m

关键词： integrated energy system power-to-gas Shapley value benefit allocation hydrogen energy

High-impedance Fault Detection Method Based on Feature Extraction and Synchronous Data Divergence Discrimination in Distribution Networks

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Journal of Modern power Systems and Clean Energy 2023年第4期11卷 1235-1246页

作者： Yang Liu Yanlei Zhao Lei Wang Chen Fang Bangpeng Xie Laixi Cui School of electrical and Electronic Technology Shandong University of TechnologyZiboChina state grid Shanghai electric power Research Institute ShanghaiChina state grid Shanghai Pudong electric power supply company ShanghaiChina

High-impedance faults(HIFs)in distribution networks may result in fires or electric ***,considerable difficulties exist in HIF detection due to low-resolution measurements and the considerably weaker time-frequency *** paper presents a novel HIF detection method using synchronized current *** method consists of two *** the first stage,joint key characteristics of the system are extracted with the minimal system prior knowledge to identify the global optimal micro-phase measurement unit(μPMU)*** the second stage,the HIF is detected through a multivariate Jensen-Shannon divergence similarity measurement using high-resolution time-synchronized data inμPMUs in a high-noise environment.l2,1 principal component analysis(PCA),i.e.,PCA based on the l2,1 norm,is applied to an extracted system state and fault features derived from different resolution data in both *** economic observability index and HIF criteria are employed to evaluate the performance of placement method and to identify *** results show that the method can reliably detect HIFs with reasonable detection accuracy in noisy environments.

关键词： High-impedance fault micro-phase measurement unit fault detection distribution network optimal placement

Automatic infrared image recognition method for substation equipment based on a deep self-attention network and multi-factor similarity calculation

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Global Energy Interconnection 2022年第4期5卷 397-408页

作者： Yaocheng Li Yongpeng Xu Mingkai Xu Siyuan Wang Zhicheng Xie Zhe Li Xiuchen Jiang School of Electronic Information and electrical Engineering Shanghai Jiao Tong University200240 ShanghaiP.R.China state grid shandong electric power company Jinan power supply company 250001 ShandongP.R.China Maintenance&Test Center of EHV power Transmission company China Southern Power Grid510000 GuangdongP.R.China

Infrared image recognition plays an important role in the inspection of power *** technologies dedicated to this purpose often require manually selected features,which are not transferable and interpretable,and have limited training *** address these limitations,this paper proposes an automatic infrared image recognition framework,which includes an object recognition module based on a deep self-attention network and a temperature distribution identification module based on a multi-factor similarity ***,the features of an input image are extracted and embedded using a multi-head attention encoding-decoding ***,the embedded features are used to predict the equipment component category and *** the located area,preliminary segmentation is ***,similar areas are gradually merged,and the temperature distribution of the equipment is obtained to identify a *** experiments indicate that the proposed method demonstrates significantly improved accuracy compared with other related methods and,hence,provides a good reference for the automation of power equipment inspection.

关键词： Substation equipment Infrared image intelligent recognition Deep self-attention network Multi-factor similarity calculation

power generation expansion planning approach considering carbon emission constraints

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Global Energy Interconnection 2023年第2期6卷 127-140页

作者： Hasan Mehedi Xiaobin Wang Shilong Ye Guiting Xue Islam Md Shariful Fang Shi School of electrical Engineering Shandong UniversityJinan 250061P.R.China College of Letter and Science University of California DavisCaliforniaUSA95618 School of Economics Shandong UniversityJinan 250100P.R.China Haidian electric power supply company of state grid Beijing electric power company Beijing 100000P.R.China

Decarbonization of the power sector in China is an essential aspect of the energy transition process to achieve carbon *** power sector accounts for approximately 40%of China’s total CO_(2) ***,collaborative optimization in power generation expansion planning(GEP)simultaneously considering economic,environmental,and technological concerns as carbon emissions is *** paper proposes a collaborative mixedinteger linear programming optimization approach for *** minimizes the power system’s operating cost to resolve emission concerns considering energy development strategies,flexible generation,and resource limitations *** research further analyzes the advantages and disadvantages of current GEP *** show that the main determinants of new investment decisions are carbon emissions,reserve margins,resource availability,fuel consumption,and fuel *** proposed optimization method is simulated and validated based on China’s power system ***,this study provides policy recommendations on the flexible management of traditional power sources,the market-oriented mechanism of new energy sources,and the integration of new technology to support the attainment of carbon-neutral targets in the current energy transition process.

关键词： Low-carbon Optimization Generation expansion planning Long-term planning Renewable energy

Space Charge Transient Kinetic Characteristics in DC Air Corona Discharge at Atmospheric Pressure

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Plasma Science and Technology 2014年第8期16卷 749-757页

作者：刘兴华咸日常孙学峰王涛吕学宾陈素红杨帆 state grid Zibo power supply company state grid shandong electric power company state grid shandong electric power Research Institute state Key Laboratory of power Transmission Equipment & System Security and New Technology Chongqing University

Investigating the corona mechanism plays a key role in enhancing the performance of electrical insulation systems. Numerical simulation offers a better understanding of the physical characteristics of air corona discharges. Using a two-dimensional axisymmetrical kinetics model, into which the photoionization effect is incorporated, the DC air corona discharge at atmosphere pressure is studied. The plasma model is based on a self-consistent, multi-component, and con- tinuum description of the air discharge, which is comprised of 12 species and 22 reactions. The discharge voltage-current characteristic predicted by the model is found to be in quite good agree- ment with experimental measurements. The behavior of the electronic avalanche progress is Mso described. 0＋ and N＋ are the dominant positive ions, and the values of 0- and 02 densities are much smaller than that of the electron. The electron and positive ion have a low-density thin layer near the anode, which is a result of the surface reaction and absorption effect of the electrode. As time progresses, the electric field increases and extends along the cathode surface, whereas the cathode fall shrinks after the corona discharge hits the cathode; thus, in the cathode sheath, the electron temperature increases and the position of its peak approaches to the cathode. The present computational model contributes to the understanding of this physical mechanism, and suggests ways to improve the electrical insulation system.

关键词： air corona discharge atmospheric pressure numerical simulation mechanism

Feasibility analysis and online adjustment of constraints in model predictive control integrated with soft sensor

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Chinese Journal of Chemical Engineering 2017年第9期25卷 1230-1237页

作者： Pengfei Cao Xionglin Luo Xiaohong Song College of electrical Engineering and Automation Shandong University of Science and Technology Research Institute of Automation China University of Petroleum state grid shandong electric power company Zibo power supply company

Feasibility analysis of soft constraints for input and output variables is critical for model predictive control(MPC).When encountering the infeasible situation, some way should be found to adjust the constraints to guarantee that the optimal control law exists. For MPC integrated with soft sensor, considering the soft constraints for critical variables additionally makes it more complicated and difficult for feasibility analysis and constraint adjustment. Therefore, the main contributions are that a linear programming approach is proposed for feasibility analysis, and the corresponding constraint adjustment method and procedure are given as well. The feasibility analysis gives considerations to the manipulated, secondary and critical variables, and the increment of manipulated variables as well. The feasibility analysis and the constraint adjustment are conducted in the entire control process and guarantee the existence of optimal control. In final, a simulation case confirms the contributions in this paper.

关键词： Soft sensor Model predictive control Variable constraints Feasibility analysis

Probabilistic production simulation of a power system with wind power penetration based on improved UGF techniques

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Journal of Modern power Systems and Clean Energy 2013年第2期1卷 186-194页

作者： Hongtao WANG Xu LIU Chunyi WANG Key Laboratory of power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China state grid Zhejiang electric power company Jiaxing Power Supply CompanyJiaxing 314001China state grid shandong electric power company Jinan 250001China

Universal Generating Function(UGF)techniques have been applied to Multi-state System(MSS)reliability analysis,such as long term reserve expansion of power systems with high wind power ***,using simple steady-state distribution models for wind power and large generating units in reliability assessment can yield pessimistic *** more accurately assess the power system reliability,UGF techniques are extended to dynamic probabilistic simulation analysis on two aspects of modelling ***,a principal component analysis(PCA)combined with a hierarchal clustering algorithm is used to achieve the salient and time-varying patterns of wind power,then a sequential UGF equivalent model of wind power output is established by an apportioning ***,other than the traditional two-state models,the conventional generator UGF equivalent model is established as a four discrete-state continuous-time Markov model by *** the construction process of such a UGF model,the state values are transformed into the integral multiples of one common factor by choosing proper common factors,thus effectively restraining the exponential growth of its state number and alleviating the explosion *** method is suitable for reliability assessment with dynamic probabilistic distributed random *** addition,by acquiring the clustering information of wind power,the system reliability indices,such as fuel cost and CO_(2) emissions through different seasons and on different workdays,are ***,the effectiveness of the method is verified by a modified IEEE-RTS 79 system integrated with several wind farms of historical hourly wind power data of Zhangbei wind farm in North China.

关键词： Multi-state system Reliability Universal Generating Function(UGF) Probabilistic production simulation Wind power