Pub Date : 2022-03-04DOI: 10.1109/icgea54406.2022.9791872
Bin Yuan, Ao Wang, Yung-Feng Liu, Yuan Ting Peng
Diesel reforming for hydrogen production technology is considered to be an important development trend of efficient and clean utilization of diesel. Using Aspen Plus simulation platform, the process flow of diesel reforming for hydrogen production was modeled, and the effects of reforming temperature, reforming pressure, water-to-carbon ratio and raw material composition on diesel reforming reaction were studied. The results show that the hydrogen content in the reforming product firstly increases and then decreases with the reforming temperature. The optimum reforming temperature of n-hexadecane is about 750°C; Lower reaction pressure is beneficial to obtain higher H2 mole fraction, and the optimal reforming pressure is recommended to be set between 1bar and 100bar. In terms of water-to-carbon ratio, the optimal water-to-carbon ratio is about 2.3. The increase of cycloalkanes and other related components in diesel is conducive to higher hydrogen yield, while the increase of aromatic hydrocarbons, alkanes and other related components is not conducive to the reforming reaction.
{"title":"Modeling and Numerical Simulation of Hydrogen Production by Diesel Reforming Based on ASPEN PLUS","authors":"Bin Yuan, Ao Wang, Yung-Feng Liu, Yuan Ting Peng","doi":"10.1109/icgea54406.2022.9791872","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791872","url":null,"abstract":"Diesel reforming for hydrogen production technology is considered to be an important development trend of efficient and clean utilization of diesel. Using Aspen Plus simulation platform, the process flow of diesel reforming for hydrogen production was modeled, and the effects of reforming temperature, reforming pressure, water-to-carbon ratio and raw material composition on diesel reforming reaction were studied. The results show that the hydrogen content in the reforming product firstly increases and then decreases with the reforming temperature. The optimum reforming temperature of n-hexadecane is about 750°C; Lower reaction pressure is beneficial to obtain higher H2 mole fraction, and the optimal reforming pressure is recommended to be set between 1bar and 100bar. In terms of water-to-carbon ratio, the optimal water-to-carbon ratio is about 2.3. The increase of cycloalkanes and other related components in diesel is conducive to higher hydrogen yield, while the increase of aromatic hydrocarbons, alkanes and other related components is not conducive to the reforming reaction.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130350519","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791980
Ruby Burgess, Salma Alami Yadri, K. Lam, P. Pong
Switching from fossil fuels to renewable energy is an essential step towards reducing emissions of greenhouse gases. On a local level, microgrids could be the solution to further renewable energy penetration. This study develops and makes use of an analysis tool for calculating the cost and benefits of developing a self-sufficient community microgrid in several locations throughout the United States. The novelty of the study includes the analysis of costs and benefits of developing a residential neighborhood of 1000 households powered by 4 to 8 MW of renewable energy as well as powering this stand-alone community microgrid with 100% renewable energy. The study investigates using energy savings to sell houses at a discounted price to attract customers and aims to boost the usage of renewable energy through the popularization of this model. Because of the variable nature of renewable energy, storage systems play an essential role in designing a stand-alone microgrid. The study uses the National Renewable Energy Laboratory’s (NREL) System Advisor Model (SAM) to calculate available resources in various locations and model the electric load. This data is then used to estimate the amount of energy needed for storage purposes. Detailed calculations of costs and benefits can prove the viability of such a system in various locations across the United States. The results show that this model would be viable in locations such as southern California where wind and solar energy resources are highly available.
{"title":"A Feasibility Study on Building a Stand-Alone Community Microgrid in the United States","authors":"Ruby Burgess, Salma Alami Yadri, K. Lam, P. Pong","doi":"10.1109/icgea54406.2022.9791980","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791980","url":null,"abstract":"Switching from fossil fuels to renewable energy is an essential step towards reducing emissions of greenhouse gases. On a local level, microgrids could be the solution to further renewable energy penetration. This study develops and makes use of an analysis tool for calculating the cost and benefits of developing a self-sufficient community microgrid in several locations throughout the United States. The novelty of the study includes the analysis of costs and benefits of developing a residential neighborhood of 1000 households powered by 4 to 8 MW of renewable energy as well as powering this stand-alone community microgrid with 100% renewable energy. The study investigates using energy savings to sell houses at a discounted price to attract customers and aims to boost the usage of renewable energy through the popularization of this model. Because of the variable nature of renewable energy, storage systems play an essential role in designing a stand-alone microgrid. The study uses the National Renewable Energy Laboratory’s (NREL) System Advisor Model (SAM) to calculate available resources in various locations and model the electric load. This data is then used to estimate the amount of energy needed for storage purposes. Detailed calculations of costs and benefits can prove the viability of such a system in various locations across the United States. The results show that this model would be viable in locations such as southern California where wind and solar energy resources are highly available.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131519122","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792108
Bingqing Wang, Jing Liu, Yongping Li, Guohe Huang, Guan Wang
To realize the goals of carbon reduction, it is important for understanding the driving force of the wind power industry. In this study, a principal component regression (PCR) model is employed to identify the main factors of wind power generation in the City of Xiamen. Results disclose that two principal components have a cumulative contribution rate about 95%. The economic component (contributing 81.9%) is dominated by the proportion of secondary industry (SI) and gross domestic product (GDP). The energy component (contributing 12.9%) is dominated by annual wind speed (WS) and the number of patents (NP). Results can provide desired decision support for clean energy utilization and environmental emission reduction.
{"title":"Identifying Main Factors of Wind Power Generation Based on Principal Component Regression: A Case Study of Xiamen","authors":"Bingqing Wang, Jing Liu, Yongping Li, Guohe Huang, Guan Wang","doi":"10.1109/icgea54406.2022.9792108","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792108","url":null,"abstract":"To realize the goals of carbon reduction, it is important for understanding the driving force of the wind power industry. In this study, a principal component regression (PCR) model is employed to identify the main factors of wind power generation in the City of Xiamen. Results disclose that two principal components have a cumulative contribution rate about 95%. The economic component (contributing 81.9%) is dominated by the proportion of secondary industry (SI) and gross domestic product (GDP). The energy component (contributing 12.9%) is dominated by annual wind speed (WS) and the number of patents (NP). Results can provide desired decision support for clean energy utilization and environmental emission reduction.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114388367","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791993
Pandu Prianto, Evelin Blom, L. Söder
Actual hydropower systems often contain complex river systems, making simulations of hydropower systems computationally extensive. With the help of an Equivalent model, which is an artificial simpler hydropower system, the computational issue can be avoided. The Equivalent model aims to imitate the actual hydropower system, hence can be used for studies of large power systems with faster computational time. In this paper, different Equivalent models of hydropower systems in different periods and trading areas in Sweden have been computed, which are then evaluated and validated by comparing the hourly relative power generation difference. The relative power difference is 4.89% – 19.36%, depending on the period and trading area. Different Equivalent model performance over time indicates that the Equivalent parameters should change over time. By dividing a year appropriately, a well performing Equivalent can be obtained, which is shown by the Equivalent with low relative power difference.
{"title":"Evaluation of Hydropower Equivalents Parameters Over Time","authors":"Pandu Prianto, Evelin Blom, L. Söder","doi":"10.1109/icgea54406.2022.9791993","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791993","url":null,"abstract":"Actual hydropower systems often contain complex river systems, making simulations of hydropower systems computationally extensive. With the help of an Equivalent model, which is an artificial simpler hydropower system, the computational issue can be avoided. The Equivalent model aims to imitate the actual hydropower system, hence can be used for studies of large power systems with faster computational time. In this paper, different Equivalent models of hydropower systems in different periods and trading areas in Sweden have been computed, which are then evaluated and validated by comparing the hourly relative power generation difference. The relative power difference is 4.89% – 19.36%, depending on the period and trading area. Different Equivalent model performance over time indicates that the Equivalent parameters should change over time. By dividing a year appropriately, a well performing Equivalent can be obtained, which is shown by the Equivalent with low relative power difference.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126393116","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791909
Nianguang Zhou, M. Wen, J. Liu, Zhao Tu, Xintao Xie, Han Zhang
In this paper, coefficient analysis between carbon emission and economic development, the prediction analysis of carbon emissions and GDP sensitivity for Hunan Province were first implemented. Then, the correlation analysis between the energy consumption structure, industrial structure, and technological innovation ability was also carried. Furthermore, considering the peculiarities of carbon peak, carbon-neutral in Hunan Province, several different suggestions which come from the aspects of industry energy structure adjustment, innovation of production and supply mode, construction of green smart grid, and optimization of market pricing mechanism were provided. Finally, the power balance and safeguard measures before carbon peak and the carbon reduction development measures in the power system after carbon peak in Hunan Province was offered.
{"title":"Study on the Development Path of Energy and Power Transformation in Hunan Province","authors":"Nianguang Zhou, M. Wen, J. Liu, Zhao Tu, Xintao Xie, Han Zhang","doi":"10.1109/icgea54406.2022.9791909","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791909","url":null,"abstract":"In this paper, coefficient analysis between carbon emission and economic development, the prediction analysis of carbon emissions and GDP sensitivity for Hunan Province were first implemented. Then, the correlation analysis between the energy consumption structure, industrial structure, and technological innovation ability was also carried. Furthermore, considering the peculiarities of carbon peak, carbon-neutral in Hunan Province, several different suggestions which come from the aspects of industry energy structure adjustment, innovation of production and supply mode, construction of green smart grid, and optimization of market pricing mechanism were provided. Finally, the power balance and safeguard measures before carbon peak and the carbon reduction development measures in the power system after carbon peak in Hunan Province was offered.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127751633","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791968
D. R, Ashitha R Nair, S. Harisankar, Sree Sai V G, M. Nair
In today’s world, power industry is exponentially advancing in terms of the improvements made in making the same more reliable, secure, independent and smart; but the need to ensure grid reliability by cutting down non-renewable and pollution causing resources appears to be a major concern of the era. Renewable Energy Sources (RES) could effectively tackle the issue to a great extent. One such major step to get the best out of RES is to integrate the same to a grid, to support the grid at the time of power shortages, where the RES needs to be assessed, processed, and analyzed properly to ensure its compatibility with the system to which it is to be connected. This paper presents a detailed review on the concepts of power forecasting, power sharing, grid integration and real time grid monitoring, to detail on how the same is affecting the grid modernization strategies in the near future.
{"title":"Power Forecasting, Power Sharing & Real Time Grid Monitoring in an Electrically Tied Grid Interconnected System: A Review","authors":"D. R, Ashitha R Nair, S. Harisankar, Sree Sai V G, M. Nair","doi":"10.1109/icgea54406.2022.9791968","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791968","url":null,"abstract":"In today’s world, power industry is exponentially advancing in terms of the improvements made in making the same more reliable, secure, independent and smart; but the need to ensure grid reliability by cutting down non-renewable and pollution causing resources appears to be a major concern of the era. Renewable Energy Sources (RES) could effectively tackle the issue to a great extent. One such major step to get the best out of RES is to integrate the same to a grid, to support the grid at the time of power shortages, where the RES needs to be assessed, processed, and analyzed properly to ensure its compatibility with the system to which it is to be connected. This paper presents a detailed review on the concepts of power forecasting, power sharing, grid integration and real time grid monitoring, to detail on how the same is affecting the grid modernization strategies in the near future.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132906005","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}
As the key for building the new power system and achieving the "dual-carbon" goal, the development of electric vehicle industry is closely connected with the supporting and improvement of charging and swapping infrastructure. However, the difficult cost recovery and unbalanced regional development appeared due to the low utilization as well as nonstandard siting and sizing of charging and swapping infrastructure. In order to guide the investment and construction of charging and swapping infrastructure correctly and effectively, it is essential to conduct in-depth research with respect to siting and sizing of charging and swapping infrastructure at this stage. On the basis of Particle Swarm Optimization, this paper builds an optimization model of siting and sizing for the fast charging stations through dividing regions in accordance with the charging demand of electric taxi, the geographical information of inapplicable location and other factors. The case result indicates that the model proposed herein is capable of improving economic benefits of investment operators and guiding the investment and construction of AC charging piles by means of maximizing the net income of the charging station throughout full life cycle, and determining the geographic location of charging stations and the quantities of charging piles to be configured. After optimizing the location of charging stations, it can maximize life-cycle net incomes of 675.86 million yuan and determine the optimized amounts of charging piles in each charing station are 159, 339 and 563, respectively.
{"title":"Siting and Sizing Optimization for Electric Taxi Charging Station based on Full Life Cycle","authors":"Wu Liangzheng, Zhang Jigang, Wen Shangyong, Chen Wen, Liang Yanni, Yu Zeyuan","doi":"10.1109/icgea54406.2022.9791885","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791885","url":null,"abstract":"As the key for building the new power system and achieving the \"dual-carbon\" goal, the development of electric vehicle industry is closely connected with the supporting and improvement of charging and swapping infrastructure. However, the difficult cost recovery and unbalanced regional development appeared due to the low utilization as well as nonstandard siting and sizing of charging and swapping infrastructure. In order to guide the investment and construction of charging and swapping infrastructure correctly and effectively, it is essential to conduct in-depth research with respect to siting and sizing of charging and swapping infrastructure at this stage. On the basis of Particle Swarm Optimization, this paper builds an optimization model of siting and sizing for the fast charging stations through dividing regions in accordance with the charging demand of electric taxi, the geographical information of inapplicable location and other factors. The case result indicates that the model proposed herein is capable of improving economic benefits of investment operators and guiding the investment and construction of AC charging piles by means of maximizing the net income of the charging station throughout full life cycle, and determining the geographic location of charging stations and the quantities of charging piles to be configured. After optimizing the location of charging stations, it can maximize life-cycle net incomes of 675.86 million yuan and determine the optimized amounts of charging piles in each charing station are 159, 339 and 563, respectively.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131741843","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792109
Reneyro Fernando Guerra Guevara, Daniel Marcelo-Aldana
The energy demand of the anchovy discharge process of the Chata DC-3 vessel is covered by a 50 kW generator set. After the regulation of the anchovy catch, this generation system is oversized, consuming more fuel than necessary. The methodology developed evaluates three sizing proposals for an autonomous photovoltaic system (APS) as the main source of electricity generation. In addition, PV*SOL simulation software is used to obtain dynamic results between an APS and a hybrid photovoltaic system with the support of an additional 5.5 kW generator. Energy efficiency analyzes aspects of solar coverage, useful photovoltaic energy, coefficient of performance and efficiency of the system, being higher for the hybrid system compared to the APS. Regarding the economic aspect, the implementation of an additional generator in the hybrid system considerably reduces the initial investment and return on capital. From the perspective of environmental impact, there is a decrease in pollutant emissions and a reduction in system maintenance times. The simulation of the photovoltaic system and the 3D design of the vessel allow visualizing the shading losses and the real layout of the area for the installation of the elements, as well as the energy balance and flow diagrams of the system. Thus, this study promotes the use of dynamic tools for the visualization of photovoltaic system results in real time, according to geographic coordinates. The results obtained allow us to conclude that the energy demand of an anchovy discharge line, a lighting system and water circulation system is covered.
{"title":"Sizing of an Autonomous Photovoltaic System for the Anchovy Discharge Vessel Chata DC-3","authors":"Reneyro Fernando Guerra Guevara, Daniel Marcelo-Aldana","doi":"10.1109/icgea54406.2022.9792109","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792109","url":null,"abstract":"The energy demand of the anchovy discharge process of the Chata DC-3 vessel is covered by a 50 kW generator set. After the regulation of the anchovy catch, this generation system is oversized, consuming more fuel than necessary. The methodology developed evaluates three sizing proposals for an autonomous photovoltaic system (APS) as the main source of electricity generation. In addition, PV*SOL simulation software is used to obtain dynamic results between an APS and a hybrid photovoltaic system with the support of an additional 5.5 kW generator. Energy efficiency analyzes aspects of solar coverage, useful photovoltaic energy, coefficient of performance and efficiency of the system, being higher for the hybrid system compared to the APS. Regarding the economic aspect, the implementation of an additional generator in the hybrid system considerably reduces the initial investment and return on capital. From the perspective of environmental impact, there is a decrease in pollutant emissions and a reduction in system maintenance times. The simulation of the photovoltaic system and the 3D design of the vessel allow visualizing the shading losses and the real layout of the area for the installation of the elements, as well as the energy balance and flow diagrams of the system. Thus, this study promotes the use of dynamic tools for the visualization of photovoltaic system results in real time, according to geographic coordinates. The results obtained allow us to conclude that the energy demand of an anchovy discharge line, a lighting system and water circulation system is covered.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130973858","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791861
Fenghao Fu, Hao Li, Chengyong Zhao, Xiufang Jia
Applying the negative level output capability of full bridge sub module (FBSM), the flexible DC transmission system based on hybrid modular multilevel converter (MMC) can effectively eliminate DC faults, but using more FBSMs will increase investment cost and steady-state loss. In the paper, an adaptive proportional coefficient current limiting (APCCL) control strategy based on hybrid MMC with 50% of the FBSMs is proposed. The control strategy adaptively adjusts the bridge arm voltage of the converter during DC fault, so that the MMC can output negative DC voltage to suppress the fault current. This paper introduces the basic principle of hybrid MMC dealing with faults, studies the implementation mode and controller structure of the proposed scheme, and finally verifies its fault clearing ability in a typical dual-terminal flexible DC transmission system. The simulation results show that the fault clearing strategy proposed in the paper is similar to the hybrid MMC with high proportion of FBSMs, but it has more economic advantages. It has a certain prospect in overhead line flexible DC transmission system.
{"title":"Research on Adaptive Proportional Coefficient Current Limiting Control Strategy for Hybrid MMC","authors":"Fenghao Fu, Hao Li, Chengyong Zhao, Xiufang Jia","doi":"10.1109/icgea54406.2022.9791861","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791861","url":null,"abstract":"Applying the negative level output capability of full bridge sub module (FBSM), the flexible DC transmission system based on hybrid modular multilevel converter (MMC) can effectively eliminate DC faults, but using more FBSMs will increase investment cost and steady-state loss. In the paper, an adaptive proportional coefficient current limiting (APCCL) control strategy based on hybrid MMC with 50% of the FBSMs is proposed. The control strategy adaptively adjusts the bridge arm voltage of the converter during DC fault, so that the MMC can output negative DC voltage to suppress the fault current. This paper introduces the basic principle of hybrid MMC dealing with faults, studies the implementation mode and controller structure of the proposed scheme, and finally verifies its fault clearing ability in a typical dual-terminal flexible DC transmission system. The simulation results show that the fault clearing strategy proposed in the paper is similar to the hybrid MMC with high proportion of FBSMs, but it has more economic advantages. It has a certain prospect in overhead line flexible DC transmission system.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116251083","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792029
M. De Santis, L. Silvestri, Luca Vallotto, G. Bella
The electrified railways are powered by dedicated traction power substations (TPSSs) that represent non-linear loads for the utility supplying network. Power Quality (PQ) problems affect both the three-phase network that feeds the TPSS, and the contact line itself that completes the traction system. The presence of harmonics can reduce the power factor (PF), by 1-5%, seen by the power system at the primary side of the TPSS. This study focuses on low-order harmonics (LOH) due to the AC/DC rectifier for a traditional 3-kV TPSS, through Simulink simulations. Two different scenarios are considered, displaying the trend of the electrical quantities and the PQ of the power flows is verified in the two working conditions. Finally, an environmental evaluation is carried out starting from the obtained results, considering the Italian electricity generation mix and evaluating the amount of Greenhouse Gas (GHG) emitted during the use phase in the two working scenarios.
{"title":"Environmental and Power Quality Assessment of Railway Traction Power Substations","authors":"M. De Santis, L. Silvestri, Luca Vallotto, G. Bella","doi":"10.1109/icgea54406.2022.9792029","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792029","url":null,"abstract":"The electrified railways are powered by dedicated traction power substations (TPSSs) that represent non-linear loads for the utility supplying network. Power Quality (PQ) problems affect both the three-phase network that feeds the TPSS, and the contact line itself that completes the traction system. The presence of harmonics can reduce the power factor (PF), by 1-5%, seen by the power system at the primary side of the TPSS. This study focuses on low-order harmonics (LOH) due to the AC/DC rectifier for a traditional 3-kV TPSS, through Simulink simulations. Two different scenarios are considered, displaying the trend of the electrical quantities and the PQ of the power flows is verified in the two working conditions. Finally, an environmental evaluation is carried out starting from the obtained results, considering the Italian electricity generation mix and evaluating the amount of Greenhouse Gas (GHG) emitted during the use phase in the two working scenarios.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122848639","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：