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Optimal Location and Sizing ofMulti-Resource Distributed Generator Based onMulti-Objective Artificial Bee co.ony Algorithm

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Energy engineering 2024年第2期121卷 499-521页

作者： Qiangfei Cao Huilai Wang Zijia Hui Lingyun Chen Eco.omic and Technological Research institute State Grid Shanxi Electric Power Co.Ltd.Xi’an710075China Central Southern china electric power design institute co. Ltd.China Power Engineering Consulting GroupWuhan430074China

Distribution generation(DG)technology based on a variety of renewable energy technologies has developed rapidly.A large number of multi-type DG are co.nected to the distribution network(DN),resulting in a decline in the stability of DN *** is urgent to find a method that can effectively co.nect multi-energy DG to ***(PV),wind power generation(WPG),fuel cell(FC),and micro gas turbine(MGT)are co.sidered in this paper.A multi-objective optimization model was established based on the life cycle co.t(LCC)of DG,voltage quality,voltage fluctuation,system network loss,power deviation of the tie-line,DG pollution emission index,and meteorological index weight of ***-objective artificial bee co.ony algorithm(MOABC)was used to determine the optimal location and capacity of the four kinds of DG access DN,and co.pared with the other three heuristic *** tests based on IEEE 33 test node and IEEE 69 test node show that in IEEE 33 test node,the total voltage deviation,voltage fluctuation,and system network loss of DN decreased by 49.67%,7.47%and 48.12%,respectively,co.pared with that without DG *** the IEEE 69 test node,the total voltage deviation,voltage fluctuation and system network loss of DN in the MOABC co.figuration scheme decreased by 54.98%,35.93%and 75.17%,respectively,co.pared with that without DG co.figuration,indicating that MOABC can reasonably plan the capacity and location of *** the maximum trade-off between DG eco.omy and DN operation stability.

关键词： Distributed generation distribution network life cycle co.t multi-objective artificial bee co.ony algorithm voltage stability

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A Wind power Prediction Framework for Distributed power Grids

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Energy engineering 2024年第5期121卷 1291-1307页

作者： Bin Chen Ziyang Li Shipeng Li Qingzhou Zhao Xingdou Liu power Grid design institute Shandong Electric Power Engineering Consulting Institute Co.Ltd.Jinan250013China School of electrical engineering Shandong UniversityJinan250012China

To reduce carbon emissions,clean energy is being integrated into the power *** power is co.nected to the grid in a distributed form,but its high variability poses a challenge to grid *** article co.bines wind turbine monitoring data with numerical weather prediction(NWP)data to create a suitable wind power prediction framework for distributed ***,high-precision NWP of the turbine range is achieved using weather research and forecasting models(WRF),and Kriging interpolation locates predicted meteorological data at the turbine ***,a preliminary predicted power series is obtained based on the fan’s wind speed-power co.version curve,and historical power is reco.structed using variational mode deco.position(VMD)filtering to form input variables in chronological ***,input variables of a single turbine enter the temporal co.volutional network(TCN)to co.plete initial feature extraction,and then integrate the outputs of all TCN layers using Long Short Term Memory Networks(LSTM)to obtain power prediction sequences for all turbine *** proposed method was tested on a wind farm co.nected to a distributed power grid,and the results showed it to be superior to existing typical methods.

关键词： Wind power prediction distributed power grid WRF mode deep learning variational mode deco.position

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Cu nanowire array with designed interphases enabling high performance Si anode toward flexible lithium-ion battery

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Nano Research 2024年第3期17卷 1516-1524页

作者： Pengfei Su Ziqi Zhang Linshan Luo Zhiyong Zhang Chaofei Lan Yahui Li Shaowen Xu Shanpeng Pei Guangyang Lin Cheng Li Xiang Han Wei Huang Songyan Chen Fujian Provincial Key Laboratory of Semico.ductors and Applications Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient DevicesDepartment of PhysicsXiamen UniversityXiamen 361005China co.lege of Materials Science and engineering Nanjing Forestry UniversityNanjing 210037China Science and Technology on Analog Integrated Circuit Laboratory Chongqing 400060China Shandong electric power engineering consulting institute co. Ltd.Jinan 250013China

To meet the growing demand for wearable smart electronic devices,the development of flexible lithium-ion batteries(LIBs)is *** is an ideal candidate for the anode material of flexible lithium-ion batteries due to its high specific capacity,low working potential,and earth *** largest challenge in developing a flexible silico. anode is how to maintain structural integrity and ensure stable electrochemical reactions during external *** this work,we propose a novel design for fabricating co.e–shell electrodes based on a co.per nanowire(CuNW)array co.e and magnetron sputtered Si/C *** nanowire array structure has characteristics of bending under longitudinal stress and twisting under transverse stress,which helps to maintain the mechanical stability of the structure during electrode bending and *** low-temperature annealing generates a small amount of Cu3Si alloy,which enhances the co.nection strength between Si and the co.ductive network and solves the poor co.ductivity problem of Si,which is known as a semico.ductor *** unique co.figuration design of CuNW@Si@C-400℃ leads to stable long cycle performance of 1109 mAh∙g^(-1) after 1000 cycles and excellent rate performance of 500 mAh∙g^(-1) at a current density of 10 A∙g^(-1).Furthermore,the CuNW@Si@C-400℃||LiFePO_(4)(LFP)full battery demonstrates excellent flexibility,with a capacity retention of more than 96%after 100 *** study provides a promising strategy for the development of flexible lithium-ion batteries.

关键词： flexible lithium-ion battery silico. anode magnetron sputtering co.e–shell electrode Cu nanowire array

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Stability behavior of the Lanxi ancient flood co.trol levee after reinforcement with upside-down hanging wells and grouting curtain

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Journal of Mountain Science 2024年第1期21卷 84-99页

作者： QIN Zipeng TIAN Yan GAO Siyuan ZHOU Jianfen HE Xiaohui HE Weizhong GAO Jingquan School of Water co.servancy and Environment engineering Zhejiang University of Water Resources and Electric PowerHangzhou 310018China Department of Civil engineering Imperial College LondonLondonSW71BFEngland Lanxi Water Affairs Bureau Lanxi 321102China Zhejiang Water co.servancy engineering consulting co. LtdHangzhou 310051China

The stability of the ancient flood co.trol levees is mainly influenced by water level fluctuations, groundwater co.centration and rainfalls. This paper takes the Lanxi ancient levee as a research object to study the evolution laws of its seepage, displacement and stability before and after reinforcement with the upside-down hanging wells and grouting curtain through numerical simulation methods co.bined with experiments and observations. The study results indicate that the filled soil is less affected by water level fluctuations and groundwater co.centration after reinforcement. A high groundwater level is detrimental to the levee's long-term stability, and the drainage issues need to be fully co.sidered. The deformation of the reinforced levee is effectively co.trolled since the fill deformation is mainly borne by the upside-down hanging wells. The safety factors of the levee before reinforcement vary significantly with the water level. The minimum value of the safety factors is 0.886 during the water level decreasing period, indicating a very high risk of the instability. While it reached 1.478 after reinforcement, the stability of the ancient levee is improved by a large margin.

关键词： Stability analysis Multiple factors Antiseepage reinforcement Upside-down hanging well Grouting curtain Ancient levee

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Study on surface discharge of nonlinear co.ductive epoxy resin/SrTiO3 co.posites in 80–300 K temperature zone

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High Voltage 2024年第1期9卷 117-126页

作者： Yunqi Xing Bin Wang Mingyang Wang Jiakai Chi Peng Jia Rongjin Huang State Key Laboratory of Reliability and Intelligence of electrical Equipment Hebei University of TechnologyTianjinChina Key Laboratory of Electormagnetic Field and electrical Apparatus Reliability of Hebei Province Hebei University of TechnologyTianjinChina Key Laboratory of Special Machine and High Voltage Apparatus(Ministry of Education) Shenyang University of TechnologyShenyangChina State Grid Tianjin High Voltage co.pany TianjinChina china Energy engineering group Tianjin electric power design institute co. Ltd.TianjinChina CAS Key Laboratory of Cryogenics Technical Institute of Physics and ChemistryBeijingChina

Bisphenol F epoxy resin(EP)is often used in terminal current lead insulation of superco.ducting equipment because of its good insulation performance,high mechanical strength,good toughness at cryogenic temperatures,and resistance to co.d shock and heat ***,due to the wide temperature range of 80–300 K and the strong electric field,the EP-N_(2)interface is prone to surface flashover,resulting in terminal insulation *** improve the reliability of the current lead insulation,non-linear co.ductive EP/strontium titanate(SrTiO_(3))co.posites were prepared by modification with nano *** changes of dielectric,surface discharge,flashover,and trap distribution characteristics of co.posite materials were studied,and the mechanism of SrTiO_(3)on the surface flashover of co.posite materials was *** results show that the co.ductivity of the co.posite increases with the rise of SrTiO_(3)filling co.tent,and the amplitude of improvement is greater under the strong electric field,showing a more significant *** co.posite has a lower trap energy level and a greater number of shallow traps co.pared to pure EP,which accelerates surface charge detrapping and reduces charge accumulation,effectively enhancing the discharge and surface flashover voltage of the co.posite.

关键词： co.posites co.posite insulation

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Prime Mover Capacity Optimization and Thermodynamic Performance Analysis of Internal co.bustion Engine Based CCHP System

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Journal of Thermal Science 2023年第4期32卷 1583-1594页

作者： WANG Shucheng MUHAMMAD Imran LI Hongwei CHEN Xiaoxu QIN Mei School of Energy and power engineering Northeast Electric Power UniversityJilin132012China co.lege of engineering and Physical Sciences MechanicalBiomedical and Design EngineeringAston UniversityBirminghamB47ETUK Northeast electric power design institute co. Ltd.of China Power Engineering Consulting GroupChangchun130021China

In this research,a solar hybrid co.bined co.ling heating and power(CCHP)system is proposed co.sidering the different scenarios of Prime Movers(PMs)and the part-load performance of PMs is validated by the designed values from the manufacturer of ***,a multi-optimization model based on a genetic algorithm is developed in order to select both the most promising performance PM and the most co.t-effectiveness,environmentally friendly number of co.lectors for the proposed CCHP system,*** the hourly performance of this solar hybrid CCHP is determined through a case study of a hotel in *** show that the highest efficiency of the PM with larger capacity has the most promising performance and the co.lector number of 90 turns out to be a superior value for the hotel building based on the primary energy saving ratio of 61.61%.Moreover,on a typical summer day,the reco.ered waste heat and the solar energy can provide all the thermal energy demands,while,an auxiliary boiler should be started to fulfill the energy gap in both typical transition and winter *** the simulation result,the co.(2) emissions can be reduced by 856.2 t/a due to the solar energy introduced into the ***,the dynamic investment payback period will change from 3.01 years to 3.56 years when the fuel price(P_(fuel))ranges from 0.8P_(fuel) to1.2P_(fuel).

关键词： co.bined co.ling heating and power(CCHP)system distributed energy system optimization waste heat reco.ery ICE

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Data-driven Inverter-based Volt/VAr co.trol for Partially Observable Distribution Networks

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CSEE Journal of power and Energy Systems 2023年第2期9卷 548-560页

作者： Tong Xu Wenchuan Wu Yiwen Hong Junjie Yu Fazhong Zhang Southwest electric power design institute co. Ltd.of China Power Engineering Consulting GroupChengduSichuan 610021China Tsinghua University Beijing 100084China Department of electrical engineering State Key Laboratory of Power SystemsTsinghua UniversityBeijing 100084China Guangdong power Grid Zhongshan power Supply Bureau Zhongshan 528400China

For active distribution networks(ADNs)integrated with massive inverter-based energy resources,it is impractical to maintain the accurate model and deploy measurements at all nodes due to the large-scale of ***,current models of ADNs usually involve significant errors or even unknown ***,ADNs are usually partially observable since only a few measurements are available at pilot nodes or nodes with significant *** provide a practical Volt/Var co.trol(VVC)strategy for such networks,a data-driven VVC method is proposed in this ***,the system response policy,approximating the relationship between the co.trol variables and states of monitoring nodes,is estimated by a recursive regression closed-form ***,based on real-time measurements and the newly updated system response policy,a VVC strategy with co.vergence guarantee is *** the recursive regression solution is embedded in the co.trol stage,a data-driven closedloop VVC framework is *** effectiveness of the proposed method is validated in an unbalanced distribution system co.sidering nonlinear loads,where not only the rapid and self-adaptive voltage regulation is realized,but also systemwide optimization is achieved.

关键词： Data-driven distribution networks partial observation Volt/VAr co.trol

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Prediction of co.umn failure modes based on artificial neural network

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Earthquake engineering and engineering Vibration 2023年第2期22卷 481-493页

作者： Wan Haitao Qi Yongle Zhao Tiejun Ren Wenjuan Fu Xiaoyan School of Civil engineering and Architecture Henan UniversityKaifeng 475001China china Energy engineering group Guangdong electric power design institute co. Ltd.Guangzhou 510663China

To implement the performance-based seismic design of engineered structures,the failure modes of members must be *** classification method of co.umn failure modes is analyzed using data from the Pacific Earthquake engineering Research Center(PEER).The main factors affecting failure modes of co.umns include the hoop ratios,longitudinal reinforcement ratios,ratios of transverse reinforcement spacing to section depth,aspect ratios,axial co.pression ratios,and flexure-shear *** study proposes a data-driven prediction model based on an artificial neural network(ANN)to identify the co.umn failure *** this study,111 groups of data are used,out of which 89 are used as training data and 22 are used as test data,and the ANN prediction model of failure modes is *** results show that the proposed method based on ANN is superior to traditional methods in identifying the co.umn failure modes.

关键词： performance-based seismic design failure mode co.umn artificial neural network prediction model

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Optimal Scheduling for Flexible Regional Integrated Energy Systemwith Soft Open Point

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co.puter Modeling in engineering & Sciences 2022年第5期131卷 1101-1123页

作者： Wen Xu Dongdong Ren Biyi Yi Haoqing Zhen Youbing Zhang Xuesong Zhang Zhejiang Huayun electric power engineering design&consulting co. Ltd.Hangzhou310026China co.lege of Information engineering Zhejiang University of TechnologyHangzhou310023China electric power Research institute of State Grid Zhejiang electric power co.pany Hangzhou310014China

The Regional Integrated Energy System(RIES)has brought new modes of development,utilization,co.version,storage of *** introduction of Soft Open Point(SOP)and the application of power to Gas(P2G)technology will greatly deepen the co.pling of the electricity-gas integrated energy system,improve the flexibility and safety of the operation of the power system,and bring a deal of benefits to the power *** this background,an optimal dispatch model of RIES co.bined co.d,heat,gas and electricity with SOP is ***,RIES architecture with SOP and P2G is designed and its mathematical model also is ***,on the basis of co.sidering the optimal scheduling of co.bined co.d,heat,gas and electricity,the optimal scheduling model for RIES was *** that,the original model is transformed into a mixed-integer seco.d-order co.e programming model by using linearization and seco.d-order co.e relaxation techniques,and the CPLEX solver is invoked to solve the optimization ***,the modified IEEE 33-bus systemis used to analyze the benefits of SOP,P2G technology and lithium bromide absorption chillers in reducing systemnetwork loss and co.t,as well as improving the system’s ability to absorb wind and solar and operating safety.

关键词： Regional integrated energy system power to gas soft open point wind and photovoltaic power permeation lithium bromide chiller operating co.t

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co.ductor Arrangement and Phase Sequence Optimization Scheme for 500 kV Four-Circuit Transmission Lines on Same Tower

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Energy engineering 2023年第10期120卷 2287-2306页

作者： Deng Lu Xujun Lang Bo Yang Ziyang Li Hang Geng power Grid design and Research institute Shandong Electric Power Engineering Consulting Institute Co.Ltd.Jinan250012China School of electrical engineering Shandong UniversityJinan250061China

The four-circuit parallel line on the same tower effectively solves the problems faced by the line reco.struction and co.struction under the co.dition of the increasing shortage of transmission *** the co.ductor and phase sequence arrangement of multiple transmission lines is co.ducive to improving electromagnetic and electrostatic co.pling caused by electromagnetic *** paper uses the ATP-EMTP simulation software to build a 500 kV multi-circuit transmission line on the same *** stimulates the induced voltage and current values of different line lengths,tower spacing,vertical and horizontal spacing between different circuits,phase sequence arrangement,and nominal tower ***,use the BP neural network optimized by a genetic algorithm to predict the induced voltage and current under the unknown co.ductor and phase sequence ***,based on multi-objective particle swarm algorithm to co.struct the optimization model of co.ductor arrangement scheme of overhead transmission line,co.bined with electromagnetic environment co.trol index,determine the optimal co.ductor arrangement scheme by the size of particle fitness function,a significant reduction in induced voltages and currents between transmission lines and the four-circuit co.ductor layout scheme meeting the requirements of the electromagnetic environment is obtained,which provides a reference for the tower design of the transmission station project.

关键词： Spatial arrangement phase sequence arrangement genetic algorithm BP neural network multi-objective particle swarm algorithm

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