High-speed trains rely on pantograph-catenary systems (PCSs) to collect electrical energy from power systems. However, the dynamic interaction between the pantograph and the catenary system may become mismatched once ice accumulates on the overhead conductors. More frequent arcing may occur within the PCS during train operation, posing an unpredictable threat to operational safety. Therefore, it is crucial to evaluate the ability of overhead contact system (OCS) to withstand ice-covered variability during line desgin. A new strategy is proposed to evaluate the adaptive performance of an OCS under various icing conditions. First, a dynamic model considering icing conditions is constructed to simulate the interaction within the PCS. Five different OCS structures with various icing thicknesses are studied. The parameters of the contact force within the PCS and proportion of high-possibility arcing moments are obtained. The dependence of the contact force on the icing thickness and pantograph displacement has been illustrated in the form of cloud maps. Finally, the OCS sensitivity coefficient is calculated, and ice-covered environmental adaptability assessments for the five different OCS oes structures are compared.
{"title":"Ice-Covered Environmental Adaptability Assessment for Overhead Contact System in High-Speed Railways","authors":"Huan Zhang;Wenfu Wei;Like Pan;Zefeng Yang;Guizao Huang;Yuxin Liu;Xing Chen;Ziqian Yang;Guangning Wu","doi":"10.23919/CJEE.2024.000058","DOIUrl":"https://doi.org/10.23919/CJEE.2024.000058","url":null,"abstract":"High-speed trains rely on pantograph-catenary systems (PCSs) to collect electrical energy from power systems. However, the dynamic interaction between the pantograph and the catenary system may become mismatched once ice accumulates on the overhead conductors. More frequent arcing may occur within the PCS during train operation, posing an unpredictable threat to operational safety. Therefore, it is crucial to evaluate the ability of overhead contact system (OCS) to withstand ice-covered variability during line desgin. A new strategy is proposed to evaluate the adaptive performance of an OCS under various icing conditions. First, a dynamic model considering icing conditions is constructed to simulate the interaction within the PCS. Five different OCS structures with various icing thicknesses are studied. The parameters of the contact force within the PCS and proportion of high-possibility arcing moments are obtained. The dependence of the contact force on the icing thickness and pantograph displacement has been illustrated in the form of cloud maps. Finally, the OCS sensitivity coefficient is calculated, and ice-covered environmental adaptability assessments for the five different OCS oes structures are compared.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"10 2","pages":"70-79"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10586893","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141543838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Permanent magnet synchronous motors (PMSMs) are widely used in high-power-density and flexible control methods. Generally, the inductance changes significantly in real-time machine operations because of magnetic saturation and coupling effects. Therefore, the identification of inductance is crucial for PMSM control. Existing inductance identification methods are primarily based on the voltage source inverter (VSI), making inverter nonlinearity one of the main error sources in inductance identification. To improve the accuracy of inductance identification, it is necessary to compensate for the inverter nonlinearity effect. In this study, an overview of the PMSM inductance identification and the related inverter nonlinearity self-learning methods are presented.
{"title":"Review of Inductance Identification Methods Considering Inverter Nonlinearity for PMSM","authors":"Qiwei Wang;Jiqing Xue;Gaolin Wang;Yihua Hu;Dianguo Xu","doi":"10.23919/CJEE.2023.000046","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000046","url":null,"abstract":"Permanent magnet synchronous motors (PMSMs) are widely used in high-power-density and flexible control methods. Generally, the inductance changes significantly in real-time machine operations because of magnetic saturation and coupling effects. Therefore, the identification of inductance is crucial for PMSM control. Existing inductance identification methods are primarily based on the voltage source inverter (VSI), making inverter nonlinearity one of the main error sources in inductance identification. To improve the accuracy of inductance identification, it is necessary to compensate for the inverter nonlinearity effect. In this study, an overview of the PMSM inductance identification and the related inverter nonlinearity self-learning methods are presented.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"10 2","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10586889","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141544079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.23919/CJEE.2023.000045
Peng Yi;Wenzhi Zheng;Xianglin Li
Permanent magnet synchronous motors (PMSMs) are widely used because of their high power/torque density and high efficiency, particularly in applications with strict requirements for arrangement space or weight, such as in the electric vehicle (EV) and aerospace fields. Recently, the PMSM torque ripple problem has received increasing interest because PMSM drive requirements continuously improve. For applications with complex transmission and a wide speed range, torque ripple can easily cause system resonance, which deteriorates the driving performance. The research status and latest progress in the minimization of PMSM torque ripple based on harmonic injection are discussed. First, the causes of PMSM torque ripple are analyzed. Subsequently, the research status of the PMSM analytical model is introduced, and multiple current harmonic control and optimization methods are described in detail. Finally, future development trends in this field are analyzed.
{"title":"Overview of Torque Ripple Minimization Methods for Permanent Magnet Synchronous Motors Based on Harmonic Injection","authors":"Peng Yi;Wenzhi Zheng;Xianglin Li","doi":"10.23919/CJEE.2023.000045","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000045","url":null,"abstract":"Permanent magnet synchronous motors (PMSMs) are widely used because of their high power/torque density and high efficiency, particularly in applications with strict requirements for arrangement space or weight, such as in the electric vehicle (EV) and aerospace fields. Recently, the PMSM torque ripple problem has received increasing interest because PMSM drive requirements continuously improve. For applications with complex transmission and a wide speed range, torque ripple can easily cause system resonance, which deteriorates the driving performance. The research status and latest progress in the minimization of PMSM torque ripple based on harmonic injection are discussed. First, the causes of PMSM torque ripple are analyzed. Subsequently, the research status of the PMSM analytical model is introduced, and multiple current harmonic control and optimization methods are described in detail. Finally, future development trends in this field are analyzed.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"10 2","pages":"16-29"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10586890","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141544081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The output power generation of a photovoltaic (PV) array reduces under partial shading, resulting in multiple local maxima in the PV characteristics and inaccurate tracking of the global maximum power point (GMPP). Various interconnection schemes are available to reduce power losses under partial shading. In this study, a primary key algorithm is proposed for distributing shading across an array. This method is suitable for any $ntimes n$