Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830452
A. A. Jhumka, Ah King Robert T. F., A. Khoodaruth, C. Ramasawmy
Solar photovoltaic (PV) panels and wind turbines are by far the biggest drivers of the rapid increase in renewable energy electricity generation. Globally, in 2018, 100 gigawatts of solar PV were installed, contributing 55% of new renewable energy capacity; wind contributed the second largest share, with 28% of new renewable capacity. Both technologies are well established and feature heavily in decarbonisation scenarios as proven concepts to generate emission-free electricity. However, with this increasing trend of integrating renewable energy to the grid in the decarbonisation process entails lots of challenges among which stability of the grid plays a predominant role. Inertia plays an important role in the stability of the grid. Due to the penetration of the renewable energy sources (RES) to the grid, the system inertia is lowered because of the displacement of the synchronous generators along with the increasing use of the power electronics devices for synchronising the renewable power to the grid. This paper technically assesses the operational efficiency of both RES in terms of rotor angle stability. MATLAB/Simulink was used as the modelling tools. The results show that though wind turbines have a greater performance than the solar PV system, yet solar PV system can produce a more stable power to the grid than the wind turbine, which requires battery energy storage system (BESS) and additional frequency support to produce a stable power.
{"title":"Comparative Performance Analysis of Solar Energy and Wind Energy Systems using Rotor Angle Stability","authors":"A. A. Jhumka, Ah King Robert T. F., A. Khoodaruth, C. Ramasawmy","doi":"10.1109/energycon53164.2022.9830452","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830452","url":null,"abstract":"Solar photovoltaic (PV) panels and wind turbines are by far the biggest drivers of the rapid increase in renewable energy electricity generation. Globally, in 2018, 100 gigawatts of solar PV were installed, contributing 55% of new renewable energy capacity; wind contributed the second largest share, with 28% of new renewable capacity. Both technologies are well established and feature heavily in decarbonisation scenarios as proven concepts to generate emission-free electricity. However, with this increasing trend of integrating renewable energy to the grid in the decarbonisation process entails lots of challenges among which stability of the grid plays a predominant role. Inertia plays an important role in the stability of the grid. Due to the penetration of the renewable energy sources (RES) to the grid, the system inertia is lowered because of the displacement of the synchronous generators along with the increasing use of the power electronics devices for synchronising the renewable power to the grid. This paper technically assesses the operational efficiency of both RES in terms of rotor angle stability. MATLAB/Simulink was used as the modelling tools. The results show that though wind turbines have a greater performance than the solar PV system, yet solar PV system can produce a more stable power to the grid than the wind turbine, which requires battery energy storage system (BESS) and additional frequency support to produce a stable power.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830433
I. Pavić, T. Capuder, H. Pandžić
Balancing markets in Europe are under transformation from regulated balancing services procurement and uniform activation operated on national level towards fully market-based and Europe wide operation. The European institutions are pushing towards technology neutral markets where all players are participating on equal footing, including small distributed energy resources. The markets are developing in the direction of gate closure times closer to delivery, smaller bid and price resolutions etc. Such conditions are opening gates to new participants but are at the same time more complex to correctly position market bids. The first part of this paper will discuss current status of balancing services and their markets in Europe. The second part provides analysis of demands and bids for frequency restoration reserves in Germany as the leader in balancing services liberalisation. Such analysis is extremely important for forecasting and bidding algorithms for both balancing capacity and energy markets.
{"title":"Analysis of aFRR and mFRR Balancing Capacity & Energy Demands and Bid Curves","authors":"I. Pavić, T. Capuder, H. Pandžić","doi":"10.1109/energycon53164.2022.9830433","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830433","url":null,"abstract":"Balancing markets in Europe are under transformation from regulated balancing services procurement and uniform activation operated on national level towards fully market-based and Europe wide operation. The European institutions are pushing towards technology neutral markets where all players are participating on equal footing, including small distributed energy resources. The markets are developing in the direction of gate closure times closer to delivery, smaller bid and price resolutions etc. Such conditions are opening gates to new participants but are at the same time more complex to correctly position market bids. The first part of this paper will discuss current status of balancing services and their markets in Europe. The second part provides analysis of demands and bids for frequency restoration reserves in Germany as the leader in balancing services liberalisation. Such analysis is extremely important for forecasting and bidding algorithms for both balancing capacity and energy markets.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830379
Riccardo Vasapollo, Dmitry Shchetinin, K. Knezović
In the context of active distribution networks, innovative solution techniques based on reformulating the original non-convex AC Optimal Power Flow (AC-OPF) problem have received increasing attention. However, their accuracy is often sensitive to the objective function and grid size. This paper first investigates the performance of a selection of state-of-the-art convex approximations and relaxations of the AC-OPF problem for a range of engineering and economic objective functions in distribution grids. Then, it proposes a novel convex approximation based on the Taylor expansion, which is applicable to a wide range of objective functions as it yields high-quality solutions with small AC-violations. The performance is evaluated via optimality gaps and power mismatches on several active grids varying in size and the penetration of active energy storage systems.
{"title":"Taylor-series based Convex Approximation Method for Optimization of Active Distribution Networks","authors":"Riccardo Vasapollo, Dmitry Shchetinin, K. Knezović","doi":"10.1109/energycon53164.2022.9830379","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830379","url":null,"abstract":"In the context of active distribution networks, innovative solution techniques based on reformulating the original non-convex AC Optimal Power Flow (AC-OPF) problem have received increasing attention. However, their accuracy is often sensitive to the objective function and grid size. This paper first investigates the performance of a selection of state-of-the-art convex approximations and relaxations of the AC-OPF problem for a range of engineering and economic objective functions in distribution grids. Then, it proposes a novel convex approximation based on the Taylor expansion, which is applicable to a wide range of objective functions as it yields high-quality solutions with small AC-violations. The performance is evaluated via optimality gaps and power mismatches on several active grids varying in size and the penetration of active energy storage systems.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116609018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830435
J. Geis-Schroer, Ali Tawbe, M. Suriyah, T. Leibfried
Currently, the Continental European Synchronous Area is operated in the frequency range of 47.5 to 51. 5Hz. Frequency control is becoming more challenging With decreasing levels of rotational inertia, increasing intermittent generation and increasing cross-border power flows. These trends lead to potentially faster frequency changes in case of severe disturbances like system splits. This contribution investigates whether decreasing frequency quality by expanding limits for allowable frequency deviations would be a feasible approach to cope with this problem. We present and analyze first experimental results on exposing domestic devices to deviations of up to ±10Hz from nominal frequency. The experiments reveal that robustness to large frequency deviations significantly varies depending on the components (e.g. type of motor) involved, but all tested devices can Withstand frequencies in the range of 45 to 55Hz.
{"title":"On the Robustness of Domestic Devices to Decreased Frequency Quality","authors":"J. Geis-Schroer, Ali Tawbe, M. Suriyah, T. Leibfried","doi":"10.1109/energycon53164.2022.9830435","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830435","url":null,"abstract":"Currently, the Continental European Synchronous Area is operated in the frequency range of 47.5 to 51. 5Hz. Frequency control is becoming more challenging With decreasing levels of rotational inertia, increasing intermittent generation and increasing cross-border power flows. These trends lead to potentially faster frequency changes in case of severe disturbances like system splits. This contribution investigates whether decreasing frequency quality by expanding limits for allowable frequency deviations would be a feasible approach to cope with this problem. We present and analyze first experimental results on exposing domestic devices to deviations of up to ±10Hz from nominal frequency. The experiments reveal that robustness to large frequency deviations significantly varies depending on the components (e.g. type of motor) involved, but all tested devices can Withstand frequencies in the range of 45 to 55Hz.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126989347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830502
Mohammad Karimzadeh, G. Zavaliagkos, K. Panetta
Increasing electricity consumption, especially in residential buildings, poses significant challenges to the management of the electric grid. These challenges can be mitigated by gains in energy efficiency and by the development of intelligent energy management applications to anticipate and prevent peaks. Both energy efficiency and energy management require a deep understanding of detailed individual load levels within a house. In this work, a large real world residential dataset of US residential buildings is developed and used as the foundation for addressing the data gaps that impair current state-of-the-art electricity consumption analysis algorithms. This dataset is the first known database that includes non-intrusive load monitoring (NILM), meaning that individual appliance consumption within each house, including any electric vehicles garaged in that residence is measured. The interactions between electricity consumption, weather and size of houses is investigated and compared to current state-of-the-art methods to demonstrate the performance and more accurate prediction of future usage. The approach extracts important time periodicities, performs a deep data loss analysis and develops a long-short term memory (LSTM) model based forecast for next half hour consumption in a house. The results demonstrate the impact of adding finer level data of NILM information to improve the LSTM forecasts by over 5%.
{"title":"Feature Extraction and Data Gap Analysis of US Residential Electricity Consumption","authors":"Mohammad Karimzadeh, G. Zavaliagkos, K. Panetta","doi":"10.1109/energycon53164.2022.9830502","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830502","url":null,"abstract":"Increasing electricity consumption, especially in residential buildings, poses significant challenges to the management of the electric grid. These challenges can be mitigated by gains in energy efficiency and by the development of intelligent energy management applications to anticipate and prevent peaks. Both energy efficiency and energy management require a deep understanding of detailed individual load levels within a house. In this work, a large real world residential dataset of US residential buildings is developed and used as the foundation for addressing the data gaps that impair current state-of-the-art electricity consumption analysis algorithms. This dataset is the first known database that includes non-intrusive load monitoring (NILM), meaning that individual appliance consumption within each house, including any electric vehicles garaged in that residence is measured. The interactions between electricity consumption, weather and size of houses is investigated and compared to current state-of-the-art methods to demonstrate the performance and more accurate prediction of future usage. The approach extracts important time periodicities, performs a deep data loss analysis and develops a long-short term memory (LSTM) model based forecast for next half hour consumption in a house. The results demonstrate the impact of adding finer level data of NILM information to improve the LSTM forecasts by over 5%.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126392936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/ENERGYCON53164.2022.9830143
Siyu Tao, Chaohai Zhang, Gang Zheng
This paper proposes an optimization framework to jointly determine the configuration and operation of a wind farm (WF) and battery energy storage system (BESS). The upper layer model determines the WF/BESS capacities, the WF layout, the integration buses, and is solved by the mixed-discrete particle swarm optimization (MDPSO) algorithm. The lower layer model is a multi-objective optimization problem (MOOP) deciding the operation of the WF/BESS and other generators considering demand side management (DSM). The maximum fuzzy satisfaction method (MFSM) is used to transform the MOOP in the lower layer model into a single objective optimization problem (SOOP), and solved by the particle swarm optimization (PSO). This method is verified by the test cases of a real WF. Simulation results indicate that DSM, and the wind/load patterns can influence the WFIBESS optimization.
{"title":"Coordinated optimization of the Planning and Operation of a WF/BESS","authors":"Siyu Tao, Chaohai Zhang, Gang Zheng","doi":"10.1109/ENERGYCON53164.2022.9830143","DOIUrl":"https://doi.org/10.1109/ENERGYCON53164.2022.9830143","url":null,"abstract":"This paper proposes an optimization framework to jointly determine the configuration and operation of a wind farm (WF) and battery energy storage system (BESS). The upper layer model determines the WF/BESS capacities, the WF layout, the integration buses, and is solved by the mixed-discrete particle swarm optimization (MDPSO) algorithm. The lower layer model is a multi-objective optimization problem (MOOP) deciding the operation of the WF/BESS and other generators considering demand side management (DSM). The maximum fuzzy satisfaction method (MFSM) is used to transform the MOOP in the lower layer model into a single objective optimization problem (SOOP), and solved by the particle swarm optimization (PSO). This method is verified by the test cases of a real WF. Simulation results indicate that DSM, and the wind/load patterns can influence the WFIBESS optimization.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830451
B. Akbari, G. Sansavini
AC load maximization problems are challenging to solve in their nonconvex form. Second-order cone programming relaxations facilitate an efficient solution but often result in infeasible solutions especially for meshed networks. This paper proposes a sequential convex programming procedure to recover feasibility by augmenting the relaxed problem with linearized branch and voltage angle constraints. Systematic experiments on radial and meshed networks are designed to identify the effective formulations of constraints. The quantitative results certify the efficacy of the proposed procedure in retrieving near-global solutions for a wide range of test cases. Comparison with established nonlinear solvers reveals the computational superiority of the proposed procedure, which is especially important in making timely maximal load delivery decisions.
{"title":"Sequential Second-Order Cone Programming for AC Load Maximization Problems","authors":"B. Akbari, G. Sansavini","doi":"10.1109/energycon53164.2022.9830451","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830451","url":null,"abstract":"AC load maximization problems are challenging to solve in their nonconvex form. Second-order cone programming relaxations facilitate an efficient solution but often result in infeasible solutions especially for meshed networks. This paper proposes a sequential convex programming procedure to recover feasibility by augmenting the relaxed problem with linearized branch and voltage angle constraints. Systematic experiments on radial and meshed networks are designed to identify the effective formulations of constraints. The quantitative results certify the efficacy of the proposed procedure in retrieving near-global solutions for a wide range of test cases. Comparison with established nonlinear solvers reveals the computational superiority of the proposed procedure, which is especially important in making timely maximal load delivery decisions.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830339
Abualkasim Bakeer, A. Chub, D. Vinnikov
This paper proposes a short-circuit fault (SCF) diagnosis strategy of the diodes in the full-bridge rectifier (FBR) of the series resonant converter (SRC). The diagnosis signal comprises only the voltage of the bottom diodes beside the switching signals of the front-end full-bridge inverter. The short-circuit fault can be immediately remedied after detection Without identification of the faulty diode. The active full-bridge in the input side of the SRC is reconfigured to operates as a half-bridge inverter, while the output-side rectifier operates as a voltage doubler after detecting the SCF. In this way, the output voltage of the converter remains constant, and the converter continues its operation. The simulation results obtained using PSIM software revealed that the fault can be identified and remedied within one switching period, and the converter continues operating even with a faulty component.
{"title":"Fault Diagnosis of Output-side Diode-Bridge in Isolated DC-DC Series Resonant Converter","authors":"Abualkasim Bakeer, A. Chub, D. Vinnikov","doi":"10.1109/energycon53164.2022.9830339","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830339","url":null,"abstract":"This paper proposes a short-circuit fault (SCF) diagnosis strategy of the diodes in the full-bridge rectifier (FBR) of the series resonant converter (SRC). The diagnosis signal comprises only the voltage of the bottom diodes beside the switching signals of the front-end full-bridge inverter. The short-circuit fault can be immediately remedied after detection Without identification of the faulty diode. The active full-bridge in the input side of the SRC is reconfigured to operates as a half-bridge inverter, while the output-side rectifier operates as a voltage doubler after detecting the SCF. In this way, the output voltage of the converter remains constant, and the converter continues its operation. The simulation results obtained using PSIM software revealed that the fault can be identified and remedied within one switching period, and the converter continues operating even with a faulty component.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131643949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830296
P. Apse-Apsitis
This article describes a successful attempt to connect remote measurements, circuit simulations, and the graphical representation according to the educational tasks through IoT in one internet web page, thus allowing students to do some practical works in electrical circuits remotely.
{"title":"Internet of Things solution for electrical engineering education process","authors":"P. Apse-Apsitis","doi":"10.1109/energycon53164.2022.9830296","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830296","url":null,"abstract":"This article describes a successful attempt to connect remote measurements, circuit simulations, and the graphical representation according to the educational tasks through IoT in one internet web page, thus allowing students to do some practical works in electrical circuits remotely.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128854066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830332
Clemens Eyhoff, Wolfgang Prinz
Smart energy supply systems are increasingly in the spotlight to fight climate change. Decentralized local energy markets are one concept of these systems. However, these decentralized markets need a verification mechanism to secure the trading, for example through a notary service. Blockchain is a modem technology that enables the creation of audit-proof applications. In this paper, we analyze how well blockchain can be used as a notary service in a local energy market. We will provide a classification of notary services link them to different data storage methods and demonstrate their application in a local energy market.
{"title":"Using the Blockchain as Notary Service for a Local Energy Market","authors":"Clemens Eyhoff, Wolfgang Prinz","doi":"10.1109/energycon53164.2022.9830332","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830332","url":null,"abstract":"Smart energy supply systems are increasingly in the spotlight to fight climate change. Decentralized local energy markets are one concept of these systems. However, these decentralized markets need a verification mechanism to secure the trading, for example through a notary service. Blockchain is a modem technology that enables the creation of audit-proof applications. In this paper, we analyze how well blockchain can be used as a notary service in a local energy market. We will provide a classification of notary services link them to different data storage methods and demonstrate their application in a local energy market.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115193278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：