The increase of the penetration rate of distributed rooftop photovoltaic (PV) in the distribution network brings uncertainties to the distribution network operation scenarios. It is difficult to meet the actual demand relying on manual operation to extract typical scenarios. To tackle this issue, this paper proposes an improved One-dimensional Deep Convolutional Embedded Clustering with ResNet Autoencoder (1D-RDCEC) based scenario reduction method to extract typical PV power output scenarios. Massive PV power output scenarios are generated by Conditional Generative Adversarial Networks (CGAN) with monthly labels, in order to provide sufficient and high-quality scenario set for the subsequent extraction of typical scenarios. 1D-RDCEC first uses a One-Dimensional Convolutional Autoencoder adding residual connection (1D-RCAE) to extract the latent features of PV power output. Then, a custom clustering layer is used to soft assign the extracted latent features. Finally, the clustering loss and reconstruction loss are combined as a joint optimization to extract typical scenarios of distributed rooftop PV power output. Experiments on Australian distribution network datasets have demonstrated the effectiveness of the proposed method.
{"title":"Typical Scenario Extraction of Distributed Rooftop Photovoltaic Power Output Using Improved Deep Convolutional Embedded Clustering","authors":"Fude Dong, Zilu Li, Yuantu Xu, Deqiang Zhu, Rongjie Huang, Haobin Zou, Xiangang Peng","doi":"10.1109/CEEPE58418.2023.10167066","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167066","url":null,"abstract":"The increase of the penetration rate of distributed rooftop photovoltaic (PV) in the distribution network brings uncertainties to the distribution network operation scenarios. It is difficult to meet the actual demand relying on manual operation to extract typical scenarios. To tackle this issue, this paper proposes an improved One-dimensional Deep Convolutional Embedded Clustering with ResNet Autoencoder (1D-RDCEC) based scenario reduction method to extract typical PV power output scenarios. Massive PV power output scenarios are generated by Conditional Generative Adversarial Networks (CGAN) with monthly labels, in order to provide sufficient and high-quality scenario set for the subsequent extraction of typical scenarios. 1D-RDCEC first uses a One-Dimensional Convolutional Autoencoder adding residual connection (1D-RCAE) to extract the latent features of PV power output. Then, a custom clustering layer is used to soft assign the extracted latent features. Finally, the clustering loss and reconstruction loss are combined as a joint optimization to extract typical scenarios of distributed rooftop PV power output. Experiments on Australian distribution network datasets have demonstrated the effectiveness of the proposed method.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440388","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166653
Tianyi Liu, Aiwen Xue, Yening Lai, Guangyuan Shi, Ning Sun, Yunsong Yan
With the operation of Matiari-Lahore HVDC, Pakistan power grid has been transformed from a 500kV pure AC grid to a hybrid AC and DC grid. With the change in the structure and scale of Pakistan power grid, there is an urgent need to analyze and study the security and stability characteristics of the grid. This paper analyzes the stability characteristics of the grid after a fault in Matiari-Lahore HVDC. It proposes stability control strategies for typical modes and each AC-DC power combination case. Based on the simulation analysis of the hybrid AC-DC grid in Pakistan, this paper presents the architecture of the security and stability control system (hereafter referred to as SSCS) to support the stable operation of the Pakistan power system. The operation mode of the security and stability control device (hereafter referred to as SSCD) is studied. The interface between SSCS and HVDC, control and protection system, is realized. The innovative SSCS was applied to the Matiari-Lahore HVDC transmission project to realize the DC fault matching cutter control strategy based on different operating conditions. At the same time, the research and application are significant to the design, development, and implementation of SSCS for other DC transmission projects.
{"title":"Design and Application of Security and Stability Control System in Matiari-Lahore HVDC Transmission Project of Pakistan","authors":"Tianyi Liu, Aiwen Xue, Yening Lai, Guangyuan Shi, Ning Sun, Yunsong Yan","doi":"10.1109/CEEPE58418.2023.10166653","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166653","url":null,"abstract":"With the operation of Matiari-Lahore HVDC, Pakistan power grid has been transformed from a 500kV pure AC grid to a hybrid AC and DC grid. With the change in the structure and scale of Pakistan power grid, there is an urgent need to analyze and study the security and stability characteristics of the grid. This paper analyzes the stability characteristics of the grid after a fault in Matiari-Lahore HVDC. It proposes stability control strategies for typical modes and each AC-DC power combination case. Based on the simulation analysis of the hybrid AC-DC grid in Pakistan, this paper presents the architecture of the security and stability control system (hereafter referred to as SSCS) to support the stable operation of the Pakistan power system. The operation mode of the security and stability control device (hereafter referred to as SSCD) is studied. The interface between SSCS and HVDC, control and protection system, is realized. The innovative SSCS was applied to the Matiari-Lahore HVDC transmission project to realize the DC fault matching cutter control strategy based on different operating conditions. At the same time, the research and application are significant to the design, development, and implementation of SSCS for other DC transmission projects.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133513772","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10165992
Jun Tao, Dawei Li, H. Zhang, Qianlong Zhu
In the assessment of voltage sag, due to the existence of uncertain operating interval of voltage sag tolerance characteristic curve, it is difficult to measure the economic losses caused by voltage sag when the equipment suffers from voltage sag of this interval type. In this paper, a optimal configuration model of Inverter-Interfaced Distributed Generator based on process immune time is proposed, which calculates the economic loss caused by voltage sag according to whether the key physical parameters of industrial process meet the acceptable limits. The model considers both the economy of reversible distributed generation under normal operation and its ability to suppress voltage sag of distribution network under fault operation. The objective is to minimize the investment cost, network loss, power purchase cost of upper power grid and economic loss of voltage sag. The genetic algorithm is used to solve the model. The simulation results show that the optimal configuration scheme of reversible distributed generation considering voltage sag has better overall economy and stronger ability to suppress voltage sag.
{"title":"Inverter-Interfaced Distributed Generator Optimal Configuration Based on Process Immune Time","authors":"Jun Tao, Dawei Li, H. Zhang, Qianlong Zhu","doi":"10.1109/CEEPE58418.2023.10165992","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165992","url":null,"abstract":"In the assessment of voltage sag, due to the existence of uncertain operating interval of voltage sag tolerance characteristic curve, it is difficult to measure the economic losses caused by voltage sag when the equipment suffers from voltage sag of this interval type. In this paper, a optimal configuration model of Inverter-Interfaced Distributed Generator based on process immune time is proposed, which calculates the economic loss caused by voltage sag according to whether the key physical parameters of industrial process meet the acceptable limits. The model considers both the economy of reversible distributed generation under normal operation and its ability to suppress voltage sag of distribution network under fault operation. The objective is to minimize the investment cost, network loss, power purchase cost of upper power grid and economic loss of voltage sag. The genetic algorithm is used to solve the model. The simulation results show that the optimal configuration scheme of reversible distributed generation considering voltage sag has better overall economy and stronger ability to suppress voltage sag.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133056784","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}
Load reduction control is an important technical measure to deal with the serious fault and emergency state of power grid, and it is also one of the important technical means to ensure the safe and stable operation of large power grid. This paper proposes a coordinated optimization strategy for multi-region emergency load reduction that takes the safety and stability of power grid and accident risk into account. By taking the cost of regional load reduction proportion into account, the coordinated optimization of multi-region load reduction control measures is realized, and the problem of excessive load reduction control in some regions caused by the lack of coordination of load reduction objects among multiple regions is solved. The case analysis results show that the proposed strategy can effectively guarantee the safety of power grid and reduce the control cost and the risk of safety accidents.
{"title":"Research on Coordinated Optimization Strategy for Multi-Region Emergency Load Shedding","authors":"Chunfeng Li, Dongsheng Zhang, Jinan Sun, Xin Zhao, Lei Yu, Hongyuan Wei","doi":"10.1109/CEEPE58418.2023.10166051","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166051","url":null,"abstract":"Load reduction control is an important technical measure to deal with the serious fault and emergency state of power grid, and it is also one of the important technical means to ensure the safe and stable operation of large power grid. This paper proposes a coordinated optimization strategy for multi-region emergency load reduction that takes the safety and stability of power grid and accident risk into account. By taking the cost of regional load reduction proportion into account, the coordinated optimization of multi-region load reduction control measures is realized, and the problem of excessive load reduction control in some regions caused by the lack of coordination of load reduction objects among multiple regions is solved. The case analysis results show that the proposed strategy can effectively guarantee the safety of power grid and reduce the control cost and the risk of safety accidents.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133108163","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}
When flexible resources such as smart switches are connected to the low-voltage distribution network, the distribution network has better observability and controllability. Meanwhile, the distribution network with a high proportion of new energy faces the challenge of high dispatch costs and difficulty of renewable energy accommodation. In order to improve the economy and reliability of distribution network operation. This paper proposes a bi-level optimal scheduling model for active distribution networks considering dynamic reconfiguration. The upper layer of the model is the distribution network reconfiguration model. The optimization objectives are the minimum total operating cost and the optimal power supply quality, which is a multi-objective optimization, the decision variable is the grid structure for each reconstruction cycle. The lower layer of the model is the economic scheduling model, the optimization goal is to minimize the total operating cost, and the decision variable is the output of each flexible resource. And the improved artificial fish swarm algorithm is used to solve the proposed model. Finally, an IEEE33 node power distribution system is used for the case study. From the simulation results, the bi-level optimization model can significantly improve the operation economy and reliability of the distribution network.
{"title":"Bi-Level Optimal Dispatch Method of Active Distribution Network Based on Improved Artificial Fish Swarm Algorithm","authors":"Ding Li, Yi Luo, Shengcun Zhou, Xuancheng Yi, Yiwang Xiong, Yaning Wu","doi":"10.1109/CEEPE58418.2023.10166727","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166727","url":null,"abstract":"When flexible resources such as smart switches are connected to the low-voltage distribution network, the distribution network has better observability and controllability. Meanwhile, the distribution network with a high proportion of new energy faces the challenge of high dispatch costs and difficulty of renewable energy accommodation. In order to improve the economy and reliability of distribution network operation. This paper proposes a bi-level optimal scheduling model for active distribution networks considering dynamic reconfiguration. The upper layer of the model is the distribution network reconfiguration model. The optimization objectives are the minimum total operating cost and the optimal power supply quality, which is a multi-objective optimization, the decision variable is the grid structure for each reconstruction cycle. The lower layer of the model is the economic scheduling model, the optimization goal is to minimize the total operating cost, and the decision variable is the output of each flexible resource. And the improved artificial fish swarm algorithm is used to solve the proposed model. Finally, an IEEE33 node power distribution system is used for the case study. From the simulation results, the bi-level optimization model can significantly improve the operation economy and reliability of the distribution network.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132608924","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10165697
Runsheng Guo, Wei Niu, Liang Li, Zhixiao Zhang, Zhangyong Yao
The existing flexible arc suppression methods actively control the neutral voltage with power supply equipment, which consists of power electronic devices and non-power electronic devices. For power electronic device, the inverter with high capacity is applied to supply a reversal phase voltage to compensate the fault voltage. Otherwise, the non-power electronic devices have longer reaction time and lower precision. Herein a hybrid flexible arc suppression method combining power electronic devices and non-power electronic devices is proposed. The operating characteristics of the hybrid flexible arc suppression system under multiple operating conditions is simulated in MATLAB/Simulink. The proposed method is verified in a 10kV grid reality test field. The result shows that the method can sufficiently reduce the voltage at the fault point to less than 300V, avoiding the reignition of the arc. The method can also greatly decrease the capacity of the active inverter from usual 50kVA to 10kV A. Moreover, both speed and accuracy of the arc suppression are improved.
{"title":"A Hybrid Flexible Arc Suppression Method for Single-Phase Ground Fault of Distribution Network","authors":"Runsheng Guo, Wei Niu, Liang Li, Zhixiao Zhang, Zhangyong Yao","doi":"10.1109/CEEPE58418.2023.10165697","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165697","url":null,"abstract":"The existing flexible arc suppression methods actively control the neutral voltage with power supply equipment, which consists of power electronic devices and non-power electronic devices. For power electronic device, the inverter with high capacity is applied to supply a reversal phase voltage to compensate the fault voltage. Otherwise, the non-power electronic devices have longer reaction time and lower precision. Herein a hybrid flexible arc suppression method combining power electronic devices and non-power electronic devices is proposed. The operating characteristics of the hybrid flexible arc suppression system under multiple operating conditions is simulated in MATLAB/Simulink. The proposed method is verified in a 10kV grid reality test field. The result shows that the method can sufficiently reduce the voltage at the fault point to less than 300V, avoiding the reignition of the arc. The method can also greatly decrease the capacity of the active inverter from usual 50kVA to 10kV A. Moreover, both speed and accuracy of the arc suppression are improved.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133784206","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}
This paper proposes an improved model for tracing carbon emissions in power systems, which to some extent addresses the lack of fairness in traditional methods. The model, based on the AC power flow calculation considering network losses, first identifies key indicators for carbon emission flow calculations, such as nodal carbon intensity. Then, it calculates the carbon flow rates for each branch and node, resulting in the distribution of carbon emission flows in the system.; The improved forward carbon emission flow tracing algorithm and reverse carbon emission flow tracing algorithm are then applied to fairly and reasonably allocate the controversial carbon emission losses of the network to the power sources and loads. The results of the case study tests show that the method improves the accuracy and fairness of the carbon emission allocation in the network, making carbon responsibility traceable.
{"title":"Tracing Carbon Responsibility Based on Carbon Emission Flow Tracking Theory","authors":"Xiaofeng Ren, Yiqing Wang, Hailong Gao, Xuequan Xiao, Yushan Zhou, Hao Zhou","doi":"10.1109/CEEPE58418.2023.10166302","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166302","url":null,"abstract":"This paper proposes an improved model for tracing carbon emissions in power systems, which to some extent addresses the lack of fairness in traditional methods. The model, based on the AC power flow calculation considering network losses, first identifies key indicators for carbon emission flow calculations, such as nodal carbon intensity. Then, it calculates the carbon flow rates for each branch and node, resulting in the distribution of carbon emission flows in the system.; The improved forward carbon emission flow tracing algorithm and reverse carbon emission flow tracing algorithm are then applied to fairly and reasonably allocate the controversial carbon emission losses of the network to the power sources and loads. The results of the case study tests show that the method improves the accuracy and fairness of the carbon emission allocation in the network, making carbon responsibility traceable.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122319783","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}
The scale of the power grid continues to expand and the stability characteristics become more and more complex. Fast and effective fault handling is an important means to ensure the safe and stable operation of the power grid. A fault handling intelligent decision-making method integrating knowledge graph and data mining algorithm is proposed, and a two-level scheduling knowledge graph covering multiple subgraphs is constructed. The upper atlas calls the lower business sub atlas based on the fault handling rules obtained from historical data learning and training. The lower-level map realizes business functions such as on-duty strategy analysis, stable limit matching, and disposal strategy generation of the security control system. Mining fault handling rules based on indicators such as sensitivity, and using massive historical operation data for dynamic update of two-level knowledge graphs to solve the problem that offline handling rules do not match fault scenarios. Finally, the effectiveness of the method is verified by the actual power grid operation data.
{"title":"Intelligent Decision-Making Method for Fault Handling Based on Knowledge Graph","authors":"Chunfeng Li, Dongsheng Zhang, Jinan Sun, Xin Zhao, Lei Yu, Hongyuan Wei","doi":"10.1109/CEEPE58418.2023.10167325","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167325","url":null,"abstract":"The scale of the power grid continues to expand and the stability characteristics become more and more complex. Fast and effective fault handling is an important means to ensure the safe and stable operation of the power grid. A fault handling intelligent decision-making method integrating knowledge graph and data mining algorithm is proposed, and a two-level scheduling knowledge graph covering multiple subgraphs is constructed. The upper atlas calls the lower business sub atlas based on the fault handling rules obtained from historical data learning and training. The lower-level map realizes business functions such as on-duty strategy analysis, stable limit matching, and disposal strategy generation of the security control system. Mining fault handling rules based on indicators such as sensitivity, and using massive historical operation data for dynamic update of two-level knowledge graphs to solve the problem that offline handling rules do not match fault scenarios. Finally, the effectiveness of the method is verified by the actual power grid operation data.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167730","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166326
Bo Wang, Xuesong Zhou, Chenyang Zhao, Long Tao, Youjie Ma, Zhiqiang Gao
The microgrid is the key development direction of distributed energy. However, the performance indicators of its low-voltage side interface are often affected under complex operating conditions. To address this problem in a targeted manner, a linkage compensatory active disturbance rejection controller (LC-ADRC) that considers both the higher-order perturbation model and object model information is proposed. In this work, the extended state observer (ESO) and the feedback control law of the LC-ADRC are reconstructed according to the interleaved parallel bi-directional converter (IBC) characteristics, and the theoretical analysis shows that the dynamic response and immunity to disturbances of the IBC under typical conditions can be improved simultaneously. Finally, the experimental curves and test indexes obtained from the 300-watt test platform designed for these operating conditions verified the accuracy of the theoretical analysis.
{"title":"ADRC-Based Controller with Linkage Compensation for Interleaved Parallel Converters","authors":"Bo Wang, Xuesong Zhou, Chenyang Zhao, Long Tao, Youjie Ma, Zhiqiang Gao","doi":"10.1109/CEEPE58418.2023.10166326","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166326","url":null,"abstract":"The microgrid is the key development direction of distributed energy. However, the performance indicators of its low-voltage side interface are often affected under complex operating conditions. To address this problem in a targeted manner, a linkage compensatory active disturbance rejection controller (LC-ADRC) that considers both the higher-order perturbation model and object model information is proposed. In this work, the extended state observer (ESO) and the feedback control law of the LC-ADRC are reconstructed according to the interleaved parallel bi-directional converter (IBC) characteristics, and the theoretical analysis shows that the dynamic response and immunity to disturbances of the IBC under typical conditions can be improved simultaneously. Finally, the experimental curves and test indexes obtained from the 300-watt test platform designed for these operating conditions verified the accuracy of the theoretical analysis.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002062","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10165796
Chenkun Fan, Fang Liu, Shang Zhao
To address the problems of inrush current, high-frequency switching body diode loss and Boundary Conduction Mode (BCM) working condition loss in totem-pole Power Factor Correction (PFC) converter, an improved totem-pole bridgeless PFC converter is designed using SiC Schottky diode and SiC IGBT, which reduces the effects of inrush current and conduction loss while improving circuit efficiency. Based on the direct voltage feed-forward control principle, the converter control system is optimally designed to cut the harmonic interference caused by the current spikes at the over-zero moment and enhance the power quality. Simulation model of the improved totem-pole bridgeless PFC converter and its control system is built using Simulink. Experimental results demonstrate that the converter designed in this paper achieves high efficiency and high power quality under the action of the control system.
{"title":"Research on SiC-based Totem-pole Bridgeless PFC Converter and Control Strategy","authors":"Chenkun Fan, Fang Liu, Shang Zhao","doi":"10.1109/CEEPE58418.2023.10165796","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165796","url":null,"abstract":"To address the problems of inrush current, high-frequency switching body diode loss and Boundary Conduction Mode (BCM) working condition loss in totem-pole Power Factor Correction (PFC) converter, an improved totem-pole bridgeless PFC converter is designed using SiC Schottky diode and SiC IGBT, which reduces the effects of inrush current and conduction loss while improving circuit efficiency. Based on the direct voltage feed-forward control principle, the converter control system is optimally designed to cut the harmonic interference caused by the current spikes at the over-zero moment and enhance the power quality. Simulation model of the improved totem-pole bridgeless PFC converter and its control system is built using Simulink. Experimental results demonstrate that the converter designed in this paper achieves high efficiency and high power quality under the action of the control system.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137177","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}
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