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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Jie Ji Xingshuo Li Shuye Ding Yizhi Chen School of Electrical and Automation Engineering Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

The virtual synchronous generator(VSG) technology offers inertia support but also introduces active power oscillation, which are more serious when in multi-VSG. The previous studies proposed adaptive virtual impedance aimed at suppressing power oscillation in multi-VSG system. However, further research is still needed to thoroughly examine the adaptive virtual impedance coefficient. In this article, how the power oscillation of multi-VSG to be influenced by adaptive virtual impedance coefficient is investigated. Firstly, an analysis is conducted on the active power oscillation mechanism. Subsequently, the variation law of adaptive virtual impedance coefficient affecting active power oscillation is studied. Finally, The effects of different adaptive virtual impedance coefficient values is compared in simulations and experiment.

关键词： Adaptation models Adaptive systems Impedance Frequency synchronization Oscillators Frequency control

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An Feature Data Extraction Method Based on BPCA-SPCA

An Feature Data Extraction Method Based on BPCA-SPCA

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International Conference on Sensing, Diagnostics, Prognostics, and control (SDPC)

作者： Xiangyu Xing Bingrong Yan Yan Su Lingyun Tang College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9798350388855

ISBN: (纸本)9798350388862

With the increasing integration of systems and the rapid development of sensor monitoring technology, the types of monitoring data are more diverse and the number of samples are larger in flight test and operation than before. Due to the large volume and high complexity of monitoring data, the system fault diagnosis and prediction based on monitoring data is inefficient. In order to solve the problem of monitoring data redundancy, a feature extraction algorithm based on BPCA-SPCA is proposed. A system with high failure rate is selected as an example to extract the features of the system monitoring data and realize the verification of data sparseness. The experimental results show that based on BPCA-SPCA the principal components extracted monitoring data can effectively express the features of the original data, and the feature sparse vector can provide effective input information for subsequent fault diagnosis and indirectly improve the efficiency of fault diagnosis.

关键词： Fault diagnosis Redundancy Feature extraction Prediction algorithms Vectors Inference algorithms Sensors Complexity theory Data mining Monitoring

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Chemodiversity of Fulvic Acid as Affected by Different Biowastes Materials During Composting: An Analysis by Ultraviolet–Visible Spectroscopy 14th

Chemodiversity of Fulvic Acid as Affected by Different Biowa...

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14th International Conference on Environmental Science and Development, ICESD 2023

作者： Sun, Qingyu Cui, Yini Gao, Yiman Tan, Wenbing Xingtai Eco-Environmental Monitoring Center of Hebei Province Xingtai054000 China State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China

ISBN: (纸本)9783031560552

To explore the effect of UV–Vis spectra of different compost materials, this paper adopted nine other research materials on spectral characteristics of composting fulvic acid (FA). The results showed that the UV–Vis unit molar absorption strength increased in each compost, particularly stem waste, leaf waste, and cabbage waste, implying that the aromatization and unsaturated degree of FA increased, as did the humification of compost. Correlation analysis showed that germination index (GI) was positively correlated with E250/E365, significantly positively correlated with SUVA254 and S275–295, SR, and strongly negatively correlated with E253/E203, respectively. Therefore, E253/E203, SUVA254, S275–295, and E250/E365 could be used to evaluate compost maturity. Furthermore, all compost could be regarded as an indicator of reaching maturation when SUVA254 is higher than 0.21 mg/L. The change of maturity parameters indicated that E465/E665 of leaf waste, cabbage waste, stem waste, and municipal solid waste declined during composting, SUVA254, A240–400, S275–295, A3/A2 of kitchen waste, chicken manure, pig manure, and peat increased during composting. To summarize, the organic matter molecular weight, compost stability, and degree of humification significantly increased. Compost was classified into three groups based on hierarchical cluster analysis: cabbage waste, stem waste, and peat were in the first group;kitchen waste and leaf waste were in the second group;and pig manure, chicken manure, municipal solid waste, and grass waste were in the third group. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Municipal solid waste

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Transient Performance Optimization of Grid Forming Converter 6

Transient Performance Optimization of Grid Forming Converter

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Wang, Sichao Li, Chunpeng Yang, Yuexi Han, Congda Zhang, Hanbin Huang, Junwei State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Contorl for Smart Grid Fuzhou China

ISBN: (纸本)9798350347159

With the increased penetration of renewable energy sources (RES), the power system is emerging a lower inertial characteristic. This can lead to a higher rate-of-change of frequency (RoCoF) and the voltage instability issue during grid disturbance conditions, thus threatening the security of the power grid. Accordingly, researchers have recently proposed a novel grid-forming (GFM) control strategy. Compared to the traditional grid-following (GFL) control method, the GFM control can emulate the dynamic behaviors of the synchronous generator (SG), inherently providing inertial support to stabilize the grid frequency and transient AC voltage. However, it may lead to abnormal transient stress, such as over/under DC voltage and AC overcurrent, raising the risk of unexpected tripping. The paper will present the operating principles of multiple types of GFM and GFL control strategies, and evaluate their dynamic performance during the grid voltage variation events. To address the issue of transient stress, the paper will propose a novel control strategy for suppressing the over/under DC voltage and AC overcurrent so that prevented disconnection of the GFM converters. The proposed method is validated with an example of PV generation scenario, and the effectiveness in improving the dynamic performance has been demonstrated by studying the frequency variation cases. © 2022 IEEE.

关键词： Transients

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Resistance to salt stresses by aerobic granular sludge:sludge property and microbial community

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Frontiers of Environmental Science & Engineering 2024年第8期18卷 107-116页

作者： Xiao Wu Hui Li Meili Wang Tianying Zhang Jiawei Li Yongdi Liu Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission School of Chemistry and EnvironmentSouthwest Minzu UniversityChengdu 610041China Institute for Environmental Pollution and Health School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444China School of Life Sciences Southwest UniversityChongqing 400715China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental EngineeringEast China University of Science and TechnologyShanghai 200237China Institute of Qinghai-Tibetan Plateau Southwest Minzu UniversityChengdu 610041China

Saline wastewater is regarded as a challenge for wastewater treatment plants because high-salinity conditions negatively affect on traditional biological *** granular sludge(AGS)has gained attention as a promising technology for saline wastewater treatment because of its compact structure and the ability to withstand toxic ***,this study investigated the saltresistance performance,sludge properties and microbial community of AGS under low-salinity and high-salinity conditions,with the saline concentrations ranging from 0 to 50 g/*** results showed that AGS could withstand long-term saline stresses,and the maximum salinity reached 50 g/L within 113 *** salinities of 10,30,and 50 g/L,the chemical oxygen demand(COD)removal efficiencies were 90.3%,88.0%and 78.0%,*** also its maintained strength and aggregation at salinities of 10 and 30 g/*** of extracellular polymeric substances(EPS)by non-halophilic bacteria that enhanced sludge *** compact structure that ensured the microorganisms bioactivity helped to remove organic matters under salinities of 10 and 30 g/*** a salinity of 50 g/L,moderately halophilic bacteria,including Salinicola,Thioclava,Idiomarina and Albirhodobacter,prevailed in the *** dominant microbial communities shifted to moderately halophilic bacteria,which could maintain aerobic granular stabilization and remove organic matters under 50 g/L *** results in this study provide a further explanation for the long-term operation of AGS for treating saline wastewater at different *** is hoped that this work could bring some clues for the mystery of salt-resistance mechanisms.

关键词： Aerobic granular sludge Long-term saline stresses Performance Sludge property Microbial community

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Load Flexibility Evaluation Method for Industrial Parks Based on SPA and TOPSIS 25

Load Flexibility Evaluation Method for Industrial Parks Base...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Wang, Yubo Kong, Xiangyu Wang, Yang Zhang, Haixuan Wu, Shunyu Luo, Shuai Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China State Grid Tianjin Electric Power Company Tianjin China Economic and Technological Research Institute State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350366600

With the requirement for an increased share of renewable energy, park load flexibility is needed to balance fluctuations between supply and demand. The factors affecting the load flexibility of the park are analyzed from four dimensions: high quality, high efficiency, security, and low carbon. The index system for evaluating the load flexibility of the park is constructed. Given the relevance of the load flexibility assessment indexes of the park, the grey entropy algorithm is improved, and the combined assignment method is proposed to enhance the assignment of the indexes' weights. The quantitative assessment method of park flexibility is proposed based on the coupling of SPA (Set Pair Analysis) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The simulation shows that this method can solve the shortcomings of traditional TOPSIS well and make the quantitative assessment results of park load flexibility more accurate, which can be a guide for evaluating the flexibility of other urban industrial parks. © 2024 IEEE.

关键词： evaluation indicators grey correlation analysis park load TOPSIS

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A Defects Detection System for Substation Based on YOLOX 5

A Defects Detection System for Substation Based on YOLOX

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Cui, Yao Huang, Xin Zhang, Xin Ye, Junjie Zhong, Linlin State Key Laboratory of Smart Grid Operation and Control Nanjing China Southeast University School of Electrical Engineering Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

To improve the intelligent supervision level of substation, a defects images dataset facing to substation scenario was built by collecting and labeling a huge number of images about substation equipment defects. Then a transfer learning model based on the YOLOX model was trained by adjusting the model training parameters. Finally, a model with 87.4 % mean average precision and affordable speed (about 0.07 second per image) was constructed. And the experiments results proved that this model can detect the preset defects of substation equipment accurately in acceptable speed according to the visible image obtained from monitoring equipment, which means it has satisfying application potential in future. © 2022 IEEE.

关键词： Object detection

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Trends and drivers of anthropogenic NOx emissions in China since 2020

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Environmental Science and Ecotechnology 2024年第5期21卷 287-293页

作者： Hui Li Bo Zheng Yu Lei Didier Hauglustaine Cuihong Chen Xin Lin Yi Zhang Qiang Zhang Kebin He Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration Institute of Environment and EcologyTsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation and Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing 100041China Laboratoire des Sciences du Climat et de l’Environnement LSCE/IPSLCEA-CNRS-UVSQUniversite Paris-SaclayGif-sur-YvetteFrance Center for Satellite Application on Ecology and Environment Ministry of Ecology and Environment of ChinaBeijing 100094China Institute of Future Human Habitats Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Nitrogen oxides(NOx),significant contributors to air pollution and climate change,form aerosols and ozone in the ***,timely,and transparent information on NOx emissions is essential for decision-making to mitigate both haze and ozone ***,a comprehensive understanding of the trends and drivers behind anthropogenic NOx emissions from Chinadthe world's largest emitterdhas been lacking since 2020 due to delays in emissions *** we show a consistent decline in China's NOx emissions from 2020 to 2022,despite increased fossil fuel consumption,utilizing satellite observations as constraints for NOx emission estimates through atmospheric *** reduction is corroborated by data from two independent spaceborne instruments:the TROPOspheric Monitoring Instrument(TROPOMI)and the Ozone Monitoring Instrument(OMI).Notably,a reduction in transport emissions,largely due to the COVID-19 lockdowns,slightly decreased China's NOx emissions in *** subsequent years,2021 and 2022,reductions in NOx emissions were driven by the industry and transport sectors,influenced by stringent air pollution *** satellite-based inversion system developed in this study represents a significant advancement in the real-time monitoring of regional air pollution emissions from space.

关键词： China's NOx emissions Pollution control Socio-economic drivers Atmospheric inversion

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Sensitivity analysis and probability modelling of the structural response of a single-layer reticulated dome subjected to an external blast loading

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Defence Technology（防务技术） 2023年第5期23卷 152-163页

作者： Shao-bo Qi Guang-yan Huang Xu-dong Zhi Feng Fan State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing100081PR China Key Lab of Structure Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of TechnologyHarbin150090China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin150090China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120China

The structural response of a single-layer reticulated dome to external explosions is shaped by many variables,and the associated uncertainties imply non-deterministic *** deterministic methods for predicting the consequences of specific explosions do not account for these ***,the impact of the uncertainties associated with these input variables on the structures’response needs to be studied and *** this study,a parametric uncertainty analysis was conducted ***,local and global sensitivity analyses were carried out to identify the drivers of the structural dynamic response.A probabilistic structural response model was established based on sensitive variables and a reasonable sample ***,some deterministic empirical methods for explosion-resistance design,including the plane blast load model of CONWEP,the curved blast load model under the 50%assurance level,and the 20%mass-increased method,were used for evaluating their *** results of the analyses revealed that the structural response of a single-layer reticulated dome to an external blast loading is lognormally ***,the MB0.5 method based on the curved reflector load model yielded results with a relatively stable assurance rate and reliability,but CONWEP did not;thus,the 1.2MB0.5 method can be used for making high-confidence simple *** addition,the results indicated that the structural response is very sensitive to the explosion *** on these results,it is suggested that for explosion proofing,setting up a defensive barrier is more effective than structural strengthening.

关键词： Dome structure Blast load uncertainty Sensitivity analysis Probabilistic investigation Reliability evaluation

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External blast flow field evolution and response mechanism of single-layer reticulated dome structure

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Defence Technology（防务技术） 2023年第6期24卷 241-253页

Single-layer reticulated dome structure are commonly high-profile building in the public and can be attractive targets for terrorist bombings,so the public can benefit from enhanced safety with a stronger understanding of the behavior of single-layer reticulated dome structure under *** paper investigates the fluid-structure interaction process and the dynamic response performance of the singlelayer reticulated dome under external blast *** experimental and numerical results shown that structural deformation is remarkably delayed compared with the velocity of blast wave,which advises the dynamic response of large-span reticulated dome structure has a negligible effect on the blast wave propagation under *** failure modes are identified by comparing the plastic development of each ring and the residual spatial geometric of the structure,i.e.,minor vibration,local depression,severe damage,and overall *** plastic deformation energy and the displacement potential energy of the structure are the main consumers of the blast *** addition,the stress performance of the vertex member and the deep plastic ratio of the whole structure can serve as qualitative indicators to distinguish different failure modes.

关键词： External blast loading Reticulated dome structure Fluid-structure interaction Dynamic response mode Response mechanism

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