Pub Date : 2022-11-01DOI: 10.7767/9783205793670-toc
S. N. Asogwa
Presents the table of contents for this issue of this publication.
介绍本出版物这一期的目录。
{"title":"Table of content","authors":"S. N. Asogwa","doi":"10.7767/9783205793670-toc","DOIUrl":"https://doi.org/10.7767/9783205793670-toc","url":null,"abstract":"Presents the table of contents for this issue of this publication.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405322","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 : 2018-07-01DOI: 10.1109/compsac.2018.8417136
This DOI was registered to an article that will not be disseminated via IEEE Xplore®. IEEE has chosen to exclude this article from distribution after the conference for reasons that fall within the guidelines specified in section 8.2.1.B.13 of IEEE's "Publication Services and Products Board Operations Manual." We regret any inconvenience.
{"title":"This DOI was assigned in error","authors":"","doi":"10.1109/compsac.2018.8417136","DOIUrl":"https://doi.org/10.1109/compsac.2018.8417136","url":null,"abstract":"This DOI was registered to an article that will not be disseminated via IEEE Xplore®. IEEE has chosen to exclude this article from distribution after the conference for reasons that fall within the guidelines specified in section 8.2.1.B.13 of IEEE's \"Publication Services and Products Board Operations Manual.\" We regret any inconvenience.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250942","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849684
Sabah Mashaly, Mokhtar Hussien Abdallah
Nowadays, progressive grow in renewable energy sources such as (wind, solar energy) pursued distribution companies to update its code in order to achieve maximum power available and guarantee electrical reliability and quality. Egypt diversify many techniques to facilitate introducing new renewable energy technologies, such as, a new program to disseminate PV models into the grid through installing it over the buildings (Roof Top Units) this program targets about 1000 building in its first phase. This paper discuses two cases, first case(normal operation) of PI controller for PV model to achieve Maximum available power, which is tuned by try and error techniques, and second case (fault case) PV model with multi difference short types with Droop controller techniques to achieve Fault ride through capability. 40 KW three phase on-grid PV Model has been simulated by MATLAB/SIMULINK software which leads to show the different cases under fault/ normal conditions. Finally, simulation analysis has been shown, with comparison between different cases depending on variable performance error index (absolute error, square error, performance index error) for each case which prove LVRT and FRT capability for our proposal controller techniques (PI, Droop controller) in normal/fault condition.
{"title":"Low voltage ride through and fault ride through capability of 40kw PV model grid connected","authors":"Sabah Mashaly, Mokhtar Hussien Abdallah","doi":"10.1109/SASG.2016.7849684","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849684","url":null,"abstract":"Nowadays, progressive grow in renewable energy sources such as (wind, solar energy) pursued distribution companies to update its code in order to achieve maximum power available and guarantee electrical reliability and quality. Egypt diversify many techniques to facilitate introducing new renewable energy technologies, such as, a new program to disseminate PV models into the grid through installing it over the buildings (Roof Top Units) this program targets about 1000 building in its first phase. This paper discuses two cases, first case(normal operation) of PI controller for PV model to achieve Maximum available power, which is tuned by try and error techniques, and second case (fault case) PV model with multi difference short types with Droop controller techniques to achieve Fault ride through capability. 40 KW three phase on-grid PV Model has been simulated by MATLAB/SIMULINK software which leads to show the different cases under fault/ normal conditions. Finally, simulation analysis has been shown, with comparison between different cases depending on variable performance error index (absolute error, square error, performance index error) for each case which prove LVRT and FRT capability for our proposal controller techniques (PI, Droop controller) in normal/fault condition.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121219766","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849661
A. Hourani, M. Almuhaini
Demand Side Management (DSM), one of the most important aspects of the future smart distribution networks, allows consumers to positively participate in controlling energy usage and achieving generation-load balance with minimal cost. In this paper, three reliability evaluation scenarios of a distribution system using Monte Carlo simulation (MCS) will be discussed. In the first case, only the peak load of each customer is considered in the reliability calculation. The second scenario will consider the actual load demand profiles at each load point and link it with the number of disconnected customers and failure rates; this one is more realistic than the first scenario. The last scenario of the study investigates the impact of applying an effective DSM, which will reduce the actual load demand at peaks, so the load demand profiles will be modified accordingly. A small portion of a modified UK 14-bus system that consists of four main feeders will be adopted in our study to highlight the potential benefits of DSM to all parties (network operator, consumers and load-serving entities).
{"title":"Impact of Demand Side Management on the reliability performance of power distribution systems","authors":"A. Hourani, M. Almuhaini","doi":"10.1109/SASG.2016.7849661","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849661","url":null,"abstract":"Demand Side Management (DSM), one of the most important aspects of the future smart distribution networks, allows consumers to positively participate in controlling energy usage and achieving generation-load balance with minimal cost. In this paper, three reliability evaluation scenarios of a distribution system using Monte Carlo simulation (MCS) will be discussed. In the first case, only the peak load of each customer is considered in the reliability calculation. The second scenario will consider the actual load demand profiles at each load point and link it with the number of disconnected customers and failure rates; this one is more realistic than the first scenario. The last scenario of the study investigates the impact of applying an effective DSM, which will reduce the actual load demand at peaks, so the load demand profiles will be modified accordingly. A small portion of a modified UK 14-bus system that consists of four main feeders will be adopted in our study to highlight the potential benefits of DSM to all parties (network operator, consumers and load-serving entities).","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127215977","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849667
Abdulfattah Noorwali, R. Rao, A. Shami
Several interconnected layers of network form the smart grid. The Home Area Network (HAN) is the lowest layer of this grid, where reports about the various parameters associated with electrical devices are generated. For example, parameters could include information about the operation, power consumption, energy losses, power factor, etc. associated with the electrical devices. The reports generated are often classified as either periodic or critical. The critical reports are required to be communicated to a control station with minimal delay so that corrective measures could be taken quickly at the site of the electrical device. This paper presents the modelling and delay of wireless HANs. The communication between electrical devices and their associated access point can be achieved using several architectures, such as Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), and Code Division Multiple Access (CDMA). For each of these multiple access techniques upper and lower bounds on delay are derived. These bounds are a function of Signal-to-Noise Ratio (SNR), channel interference range, and the number of electrical devices and channels. It is noted that transmission of critical reports from electrical devices to their access point under the CDMA scheme achieves the least delay among the three multiple access techniques considered in the paper.
{"title":"Wireless home area networks in smart grids: Modelling and delay analysis","authors":"Abdulfattah Noorwali, R. Rao, A. Shami","doi":"10.1109/SASG.2016.7849667","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849667","url":null,"abstract":"Several interconnected layers of network form the smart grid. The Home Area Network (HAN) is the lowest layer of this grid, where reports about the various parameters associated with electrical devices are generated. For example, parameters could include information about the operation, power consumption, energy losses, power factor, etc. associated with the electrical devices. The reports generated are often classified as either periodic or critical. The critical reports are required to be communicated to a control station with minimal delay so that corrective measures could be taken quickly at the site of the electrical device. This paper presents the modelling and delay of wireless HANs. The communication between electrical devices and their associated access point can be achieved using several architectures, such as Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), and Code Division Multiple Access (CDMA). For each of these multiple access techniques upper and lower bounds on delay are derived. These bounds are a function of Signal-to-Noise Ratio (SNR), channel interference range, and the number of electrical devices and channels. It is noted that transmission of critical reports from electrical devices to their access point under the CDMA scheme achieves the least delay among the three multiple access techniques considered in the paper.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126195904","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849683
O. Hafez
This paper presents a comprehensive study of the impact of smart charging load at an electric vehicle charging station (EVCS) in distribution system considering demand response. Objective functions from the perspective of the load dispatch center (LDC) and EVCS owner are considered for studies. A 69-bus distribution system with an EVCS at a specific bus, and smart load is considered for the studies. The performance of a smart EVCS with peak demand signal vis-à-vis without peak demand signal is examined to emphasize the demand response (DR) contributions of a smart EVCS and its integration into smart grid operations.
{"title":"The impact of smart PEV loads in the smart grid considering demand response provisions","authors":"O. Hafez","doi":"10.1109/SASG.2016.7849683","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849683","url":null,"abstract":"This paper presents a comprehensive study of the impact of smart charging load at an electric vehicle charging station (EVCS) in distribution system considering demand response. Objective functions from the perspective of the load dispatch center (LDC) and EVCS owner are considered for studies. A 69-bus distribution system with an EVCS at a specific bus, and smart load is considered for the studies. The performance of a smart EVCS with peak demand signal vis-à-vis without peak demand signal is examined to emphasize the demand response (DR) contributions of a smart EVCS and its integration into smart grid operations.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126876081","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849660
Mohamed Ahmed, Mohammed Arif, T. Abdel-Galil, L. Alhems, Willy Kotiuga
The potential increase of the connected capacity of renewable energy sources in Saudi Arabia will open the doors for more investment in energy storage especially pumped storage hydro (PSH). New PSH, particularly in areas with increased wind and solar capacity, would significantly improve system reliability while reducing the need to construct new fossil-fueled generation. PSH is proving to be an established technology for renewable power because it can absorb excess generation and release it during peak demand times. PSH can also provide many ancillary services to the power system that should be added to the benefits of PSH projects, such as increased flexibility, primary frequency response, following reserves, and fast-acting regulation reserves. PSH is typically not adequately represented during the optimization of the commitment and dispatch formulations in which reduces their perceived benefits. The paper discusses how to quantify PSH benefits to the power system operators so that the PSH projects would be more economically viable to the Kingdom and more appealing for private investment. Potential market changes that can help PSH in today's restructured markets are presented and discussed in this paper.
{"title":"Quantifying the value of pumped storage hydro (PSH) in the Saudi electric grid","authors":"Mohamed Ahmed, Mohammed Arif, T. Abdel-Galil, L. Alhems, Willy Kotiuga","doi":"10.1109/SASG.2016.7849660","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849660","url":null,"abstract":"The potential increase of the connected capacity of renewable energy sources in Saudi Arabia will open the doors for more investment in energy storage especially pumped storage hydro (PSH). New PSH, particularly in areas with increased wind and solar capacity, would significantly improve system reliability while reducing the need to construct new fossil-fueled generation. PSH is proving to be an established technology for renewable power because it can absorb excess generation and release it during peak demand times. PSH can also provide many ancillary services to the power system that should be added to the benefits of PSH projects, such as increased flexibility, primary frequency response, following reserves, and fast-acting regulation reserves. PSH is typically not adequately represented during the optimization of the commitment and dispatch formulations in which reduces their perceived benefits. The paper discusses how to quantify PSH benefits to the power system operators so that the PSH projects would be more economically viable to the Kingdom and more appealing for private investment. Potential market changes that can help PSH in today's restructured markets are presented and discussed in this paper.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243285","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849671
W. Ali, P. Cofie, John H. Fuller, S. Lokesh
The availability of non-renewable energy sources such as crude oil, natural gas, coal etc., are fast diminishing. So the renewable energy sources such as solar, hydropower, geothermal, wind, tidal energy, are gaining more and more importance. Many new developments to convert these renewable energy sources into usable forms are taking place. Most renewable energy sources are used to produce electricity. In this paper, a performance and efficiency simulation study of a smart-grid connected photovoltaic system is proposed. The simulation is performed in MATLAB environment where the Current-Voltage (I-V) and Power-Voltage (P-V) curves from the solar array simulator are generated and plotted. The proposed topology has been verified with satisfactory results. In addition temperature and irradiance effects on I-V and P-V characteristic curves are verified. Also, the efficiency curves of the photovoltaic grid interface inverter are generated in the study.
{"title":"Development of MATLAB code for smart grid connected photovoltaic system including efficiency study","authors":"W. Ali, P. Cofie, John H. Fuller, S. Lokesh","doi":"10.1109/SASG.2016.7849671","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849671","url":null,"abstract":"The availability of non-renewable energy sources such as crude oil, natural gas, coal etc., are fast diminishing. So the renewable energy sources such as solar, hydropower, geothermal, wind, tidal energy, are gaining more and more importance. Many new developments to convert these renewable energy sources into usable forms are taking place. Most renewable energy sources are used to produce electricity. In this paper, a performance and efficiency simulation study of a smart-grid connected photovoltaic system is proposed. The simulation is performed in MATLAB environment where the Current-Voltage (I-V) and Power-Voltage (P-V) curves from the solar array simulator are generated and plotted. The proposed topology has been verified with satisfactory results. In addition temperature and irradiance effects on I-V and P-V characteristic curves are verified. Also, the efficiency curves of the photovoltaic grid interface inverter are generated in the study.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123488711","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849669
F. Barouni
Wind power as a green and renewable source of energy is growing very fast. Governments and utilities around the world have encouraged over the last years the commissioning of wind farm projects — using wind as a clean power source. This led to the development of new standards and architectures to make wind farm data available and meet the requirements for wind farm monitoring. In this paper, we propose a novel approach to automate wind farm data. The solution processes collected data and generates non-operational information that will serve for production and wind power forecasting as well as operational information, such as turbine status, turbine counters, active power of each turbine and total power of the wind farm. Using the IEC 61400 protocol and IEC 61131-3 automation languages embedded in a data concentrator, our solution communicates with various components and concentrates the data to make it available to different clients. In addition, the collected data will be processed to generate statistical information (periodic, minimum, maximum, average and standard deviation) and key indicator information (availability counters, power) thanks to a customized automation module.
{"title":"Intelligent wind farm data automation using IEC standards","authors":"F. Barouni","doi":"10.1109/SASG.2016.7849669","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849669","url":null,"abstract":"Wind power as a green and renewable source of energy is growing very fast. Governments and utilities around the world have encouraged over the last years the commissioning of wind farm projects — using wind as a clean power source. This led to the development of new standards and architectures to make wind farm data available and meet the requirements for wind farm monitoring. In this paper, we propose a novel approach to automate wind farm data. The solution processes collected data and generates non-operational information that will serve for production and wind power forecasting as well as operational information, such as turbine status, turbine counters, active power of each turbine and total power of the wind farm. Using the IEC 61400 protocol and IEC 61131-3 automation languages embedded in a data concentrator, our solution communicates with various components and concentrates the data to make it available to different clients. In addition, the collected data will be processed to generate statistical information (periodic, minimum, maximum, average and standard deviation) and key indicator information (availability counters, power) thanks to a customized automation module.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131345682","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 : 2016-12-01DOI: 10.1109/SASG.2016.7849679
A. Zahrani, A. Bindayel, A. A. Rished, A. Perdichizzi, G. Franchini, S. Ravelli
The present paper compares the performance of different Concentrated Solar Power (CSP) plants. The first plant configuration is a regenerative Steam Rankine Cycle (SRC) rated 50 MW, with 8-hour full-load Thermal Energy Storage (TES) system. The alternative solution is an Integrated Solar Combined Cycle (ISCC), where the steam generated by the solar section is joined to the one produced in the Heat Recovery Steam Generator (HRSG) and is expanded in the steam turbine, producing 20 MW of extra power. As far as the solar field is concerned, for each plant configuration two different technologies are considered: Parabolic Trough Collectors (PTC) and Central Receiver System (CRS), using respectively thermal oil and molten salt mixture as heat transfer fluid (HTF). Commercial software and in-house computer codes are combined together to predict the CSP plant performance both on design and off-design conditions. Plants are supposed to be located in the Riyadh region (KSA). Results of yearly simulations on hourly basis are presented and discussed. Main outputs such as gross electricity production and cycle efficiency are reported. The goal of the paper is to evaluate the power production and the efficiency for the considered CSP technologies in real operating conditions.
{"title":"Comparative analysis of Different CSP plant configurations in Saudi Arabia","authors":"A. Zahrani, A. Bindayel, A. A. Rished, A. Perdichizzi, G. Franchini, S. Ravelli","doi":"10.1109/SASG.2016.7849679","DOIUrl":"https://doi.org/10.1109/SASG.2016.7849679","url":null,"abstract":"The present paper compares the performance of different Concentrated Solar Power (CSP) plants. The first plant configuration is a regenerative Steam Rankine Cycle (SRC) rated 50 MW, with 8-hour full-load Thermal Energy Storage (TES) system. The alternative solution is an Integrated Solar Combined Cycle (ISCC), where the steam generated by the solar section is joined to the one produced in the Heat Recovery Steam Generator (HRSG) and is expanded in the steam turbine, producing 20 MW of extra power. As far as the solar field is concerned, for each plant configuration two different technologies are considered: Parabolic Trough Collectors (PTC) and Central Receiver System (CRS), using respectively thermal oil and molten salt mixture as heat transfer fluid (HTF). Commercial software and in-house computer codes are combined together to predict the CSP plant performance both on design and off-design conditions. Plants are supposed to be located in the Riyadh region (KSA). Results of yearly simulations on hourly basis are presented and discussed. Main outputs such as gross electricity production and cycle efficiency are reported. The goal of the paper is to evaluate the power production and the efficiency for the considered CSP technologies in real operating conditions.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124092026","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：