The high-voltage power supply based on pulse modulation requires a more comprehensive management system to address the deficiencies in the original system, including inadequate functionality and a lack of storage for engineering data. This study also aims to add timestamps to power supply data to facilitate system maintenance. However, with the gradual increase in generated engineering data, potential issues may arise in storage and throughput rates. Based on the characteristics of engineering data, this paper adopts the high-performance IoTDB time-series database in the Internet of Things (IoT). It designs metadata templates and engineering data encoding, optimizes storage methods to reduce storage pressure, and improves throughput to meet demands. Using the C# language and the WinForm framework, a monitoring interface is designed to achieve functions such as status detection, permission modules, command issuance, parameter settings, real-time logs, and database management for the entire management system.
{"title":"Design of High Voltage Power Management System Based on IoTDB Time Series Database","authors":"Qinghong Liu, Yiyun Huang, Kaining Guan, Lei Xiong, Jian Zhang, Wendi Fan, Rui Guan","doi":"10.1109/ICPECA60615.2024.10470942","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470942","url":null,"abstract":"The high-voltage power supply based on pulse modulation requires a more comprehensive management system to address the deficiencies in the original system, including inadequate functionality and a lack of storage for engineering data. This study also aims to add timestamps to power supply data to facilitate system maintenance. However, with the gradual increase in generated engineering data, potential issues may arise in storage and throughput rates. Based on the characteristics of engineering data, this paper adopts the high-performance IoTDB time-series database in the Internet of Things (IoT). It designs metadata templates and engineering data encoding, optimizes storage methods to reduce storage pressure, and improves throughput to meet demands. Using the C# language and the WinForm framework, a monitoring interface is designed to achieve functions such as status detection, permission modules, command issuance, parameter settings, real-time logs, and database management for the entire management system.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"12 16","pages":"643-647"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530137","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471111
Haoran Wu, Shiguang Shang, Zilong Huang
A SiC SGT MOSFET is proposed to solve the problem of the trade-off relationship between specific on-resistance (Ron, sp) and breakdown voltage (BV), which demonstrated its process flow and some parameters which influence its static characteristics such as EPI Concentration, Shield gate Oxide thickness and so on. In addition, in UIS tests, the avalanche tolerance of the novel structure of the proposed structure is between than that of VDMOS and Trench MOSFET, which may mean the better EAS in practical application.
为了解决比导通电阻（Ron，sp）和击穿电压（BV）之间的权衡关系问题，我们提出了一种 SiC SGT MOSFET，并展示了其工艺流程和一些影响其静态特性的参数，如 EPI 浓度、屏蔽栅氧化物厚度等。此外，在 UIS 测试中，拟议结构的新型结构的雪崩耐受性介于 VDMOS 和沟槽 MOSFET 之间，这可能意味着在实际应用中具有更好的 EAS 性能。
{"title":"The Design of a 4H-SiC SGT MOSFET","authors":"Haoran Wu, Shiguang Shang, Zilong Huang","doi":"10.1109/ICPECA60615.2024.10471111","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471111","url":null,"abstract":"A SiC SGT MOSFET is proposed to solve the problem of the trade-off relationship between specific on-resistance (Ron, sp) and breakdown voltage (BV), which demonstrated its process flow and some parameters which influence its static characteristics such as EPI Concentration, Shield gate Oxide thickness and so on. In addition, in UIS tests, the avalanche tolerance of the novel structure of the proposed structure is between than that of VDMOS and Trench MOSFET, which may mean the better EAS in practical application.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"8 3","pages":"754-758"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530122","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 core device of medium-low speed maglev trains, the traction converter plays a crucial role in energy conversion and drive control. Its design quality directly affects the performance and stable operation of the train. In this paper, the design of traction converter is carried out from the hardware design, the main circuit topology is determined first. Based on the system requirements, this paper calculates the parameter of devices in detail, and the device selection is completed. Then, the internal devices are reasonably arranged, the independent air duct is designed for the high-power consumption device, and the integrated design of the traction converter is completed. The thermal loss analysis is performed, and approximate formulas of IGBT loss are derived. At last, thermal design and simulation verification of traction converter are carried out based on Icepak. The results show that the design of medium-low speed maglev traction converter in this paper is reasonable and has good heat dissipation function.
{"title":"Hardware and Thermal Design of Medium-low Speed Maglev Traction Converter","authors":"Shuai Liu, Jiachen Song, Liwei Zhang, Xin Zhang, Yuhang Wang, Neimeng Yang","doi":"10.1109/ICPECA60615.2024.10470973","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470973","url":null,"abstract":"As the core device of medium-low speed maglev trains, the traction converter plays a crucial role in energy conversion and drive control. Its design quality directly affects the performance and stable operation of the train. In this paper, the design of traction converter is carried out from the hardware design, the main circuit topology is determined first. Based on the system requirements, this paper calculates the parameter of devices in detail, and the device selection is completed. Then, the internal devices are reasonably arranged, the independent air duct is designed for the high-power consumption device, and the integrated design of the traction converter is completed. The thermal loss analysis is performed, and approximate formulas of IGBT loss are derived. At last, thermal design and simulation verification of traction converter are carried out based on Icepak. The results show that the design of medium-low speed maglev traction converter in this paper is reasonable and has good heat dissipation function.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"23 2","pages":"563-568"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530125","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471023
Wang Li, Chengjie Yin, Desheng Huang
The potential for energy conservation through waste heat recovery in power plants is substantial. Scholars, both domestic and foreign, commonly employ low-temperature economizers, power cycles, and absorption heat pump technologies to recover low-grade waste heat in thermal power plants. This paper provides a comprehensive overview of current waste heat recovery methods, exploring the development vision for waste heat application in thermal power plants. It focuses on two key aspects: breakthroughs in key technologies and the comprehensive utilization of energy. The proposed waste heat recovery theory aims to extend the use of waste heat temperature and promote refrigeration through power generation waste heat.
{"title":"Analysis and theoretical research on waste heat recovery technology in thermal power plants","authors":"Wang Li, Chengjie Yin, Desheng Huang","doi":"10.1109/ICPECA60615.2024.10471023","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471023","url":null,"abstract":"The potential for energy conservation through waste heat recovery in power plants is substantial. Scholars, both domestic and foreign, commonly employ low-temperature economizers, power cycles, and absorption heat pump technologies to recover low-grade waste heat in thermal power plants. This paper provides a comprehensive overview of current waste heat recovery methods, exploring the development vision for waste heat application in thermal power plants. It focuses on two key aspects: breakthroughs in key technologies and the comprehensive utilization of energy. The proposed waste heat recovery theory aims to extend the use of waste heat temperature and promote refrigeration through power generation waste heat.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"14 3","pages":"683-687"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530129","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471174
Quanbin Wang
With the establishment of modern enterprise production systems, enterprises attach more importance to the management of machinery and equipment. Using certain technologies to predict possible faults in machine production and repairing machinery and equipment in advance based on predictions is an important guarantee for the continuity of enterprise production and operation. The most common production equipment in oil and gas field exploitation is small and medium-sized rotating equipment. The normal operation of the equipment is conducive to ensuring the smooth implementation of oil and gas field production and is an important equipment foundation for ensuring stable production. With the establishment of the management system for production machinery and equipment in oil and gas fields, oil and gas field enterprises will monitor the data of small and medium-sized rotating equipment, collect operational data of small and medium-sized rotating equipment, and store it, providing a foundation for establishing machine learning methods to early warning of faults in small and medium-sized rotating equipment.
{"title":"Research on Fault Warning for Small and Medium Sized Equipment Based on AdaBoost SVM","authors":"Quanbin Wang","doi":"10.1109/ICPECA60615.2024.10471174","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471174","url":null,"abstract":"With the establishment of modern enterprise production systems, enterprises attach more importance to the management of machinery and equipment. Using certain technologies to predict possible faults in machine production and repairing machinery and equipment in advance based on predictions is an important guarantee for the continuity of enterprise production and operation. The most common production equipment in oil and gas field exploitation is small and medium-sized rotating equipment. The normal operation of the equipment is conducive to ensuring the smooth implementation of oil and gas field production and is an important equipment foundation for ensuring stable production. With the establishment of the management system for production machinery and equipment in oil and gas fields, oil and gas field enterprises will monitor the data of small and medium-sized rotating equipment, collect operational data of small and medium-sized rotating equipment, and store it, providing a foundation for establishing machine learning methods to early warning of faults in small and medium-sized rotating equipment.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"126 5","pages":"1107-1112"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530462","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471120
Shihao Ti
This paper introduces a defect detection system based on YOLOv5 and K-Means clustering algorithm, aimed at efficiently and accurately detecting surface flaws in targets. In the context of high costs, complex operations, and stringent environmental requirements posed by traditional flaw detection methods, this system integrates deep learning technology and an optimized K-Means algorithm, significantly enhancing the efficiency and accuracy of the YOLOv5 model in steel flaw detection. Innovations to the original backbone network of YOLOv5 include the addition of multi-layer upsampling, effectively improving the detection capability for flaws of various scales. Furthermore, by augmenting the target flaw dataset, this system not only enriches the sample volume but also strengthens feature extraction capabilities by integrating novel convolutional structures and an improved attention mechanism. Experimental results demonstrate significant improvements in average precision and recall rates for the modified YOLOv5 detection model on the flaw dataset, achieving 70% of the original model's detection speed and fully meeting the requirements for flaw detection in industrial production settings.
{"title":"Target Defect Detection Based on YOLOv5","authors":"Shihao Ti","doi":"10.1109/ICPECA60615.2024.10471120","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471120","url":null,"abstract":"This paper introduces a defect detection system based on YOLOv5 and K-Means clustering algorithm, aimed at efficiently and accurately detecting surface flaws in targets. In the context of high costs, complex operations, and stringent environmental requirements posed by traditional flaw detection methods, this system integrates deep learning technology and an optimized K-Means algorithm, significantly enhancing the efficiency and accuracy of the YOLOv5 model in steel flaw detection. Innovations to the original backbone network of YOLOv5 include the addition of multi-layer upsampling, effectively improving the detection capability for flaws of various scales. Furthermore, by augmenting the target flaw dataset, this system not only enriches the sample volume but also strengthens feature extraction capabilities by integrating novel convolutional structures and an improved attention mechanism. Experimental results demonstrate significant improvements in average precision and recall rates for the modified YOLOv5 detection model on the flaw dataset, achieving 70% of the original model's detection speed and fully meeting the requirements for flaw detection in industrial production settings.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"107 2","pages":"381-385"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530467","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10470946
Jiantao Liu, Yanqiu Wang, Sun Luwei
In order to meet the requirements of high stability, fast response and strong anti-interference for the power supply of the underwater detector, a single-ended flyback dual-output isolated DC-DC converter circuit is designed as the power supply of the detector. However, the power supply based on traditional PID control has problems of poor output voltage stability, slow response speed and large ripple. In order to improve the output voltage response speed and stability of the power supply, a BP-PID control strategy based on ADE optimization is proposed, which combines neural network and PID control. It adapts the PID parameters according to the output voltage situation, making the power supply have good robustness. For the problem of large output voltage ripple, a ripple disturbance suppression extended state observer based on bandwidth method is proposed to sample the DC voltage observation. The method of integrating the extended state observer effectively suppresses the ripple, thus improving the performance of the underwater detector and ensuring that the output voltage of the DC-DC buck converter is in the optimal state. Finally, the experimental results show that the proposed method can effectively improve the system output voltage stability, response speed and reduce the voltage ripple, and has good practical engineering application value.
{"title":"Design of Multi-Output Power Supply Based on improved BPNN-PID and Extended State Observer Control","authors":"Jiantao Liu, Yanqiu Wang, Sun Luwei","doi":"10.1109/ICPECA60615.2024.10470946","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470946","url":null,"abstract":"In order to meet the requirements of high stability, fast response and strong anti-interference for the power supply of the underwater detector, a single-ended flyback dual-output isolated DC-DC converter circuit is designed as the power supply of the detector. However, the power supply based on traditional PID control has problems of poor output voltage stability, slow response speed and large ripple. In order to improve the output voltage response speed and stability of the power supply, a BP-PID control strategy based on ADE optimization is proposed, which combines neural network and PID control. It adapts the PID parameters according to the output voltage situation, making the power supply have good robustness. For the problem of large output voltage ripple, a ripple disturbance suppression extended state observer based on bandwidth method is proposed to sample the DC voltage observation. The method of integrating the extended state observer effectively suppresses the ripple, thus improving the performance of the underwater detector and ensuring that the output voltage of the DC-DC buck converter is in the optimal state. Finally, the experimental results show that the proposed method can effectively improve the system output voltage stability, response speed and reduce the voltage ripple, and has good practical engineering application value.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"103 2","pages":"759-764"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530470","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10470960
Chang Liu, Xiaogang Zhang, Baiyu Ma, Jian Wang
The rise of personal terminal devices provides users with a wide variety of application experiences, which not only promotes the rapid rise of the wireless communication industry, but also accelerates the pace of technological innovation in the communication field. However, the problem of excessive consumption of spectrum resources brought about by the rapid increase in communication rate has been continuously magnified. The article first analyzes the existing heterogeneous cellular network architecture scheme, and describes a new cognitive heterogeneous cellular network scenario based on this. According to the described characteristics of the network scene, a network resource management scheme that conforms to this scene is studied. It can use mathematical optimization theory to re-model and analyze the above-mentioned scenarios and resource management schemes, and propose a resource allocation algorithm (optimization algorithm) to realize the effective allocation of network resources. Finally, a simulation experiment is carried out under specific parameters of the designed resource allocation algorithm to verify the reliability of the algorithm.
{"title":"Research on Resource Management Solutions for Neterogeneous Cellular Networks","authors":"Chang Liu, Xiaogang Zhang, Baiyu Ma, Jian Wang","doi":"10.1109/ICPECA60615.2024.10470960","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470960","url":null,"abstract":"The rise of personal terminal devices provides users with a wide variety of application experiences, which not only promotes the rapid rise of the wireless communication industry, but also accelerates the pace of technological innovation in the communication field. However, the problem of excessive consumption of spectrum resources brought about by the rapid increase in communication rate has been continuously magnified. The article first analyzes the existing heterogeneous cellular network architecture scheme, and describes a new cognitive heterogeneous cellular network scenario based on this. According to the described characteristics of the network scene, a network resource management scheme that conforms to this scene is studied. It can use mathematical optimization theory to re-model and analyze the above-mentioned scenarios and resource management schemes, and propose a resource allocation algorithm (optimization algorithm) to realize the effective allocation of network resources. Finally, a simulation experiment is carried out under specific parameters of the designed resource allocation algorithm to verify the reliability of the algorithm.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"54 6","pages":"157-162"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530499","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10470948
Chenxi Song, Yuping Huang, Jinjun Xu, Xiaoyan Deng
Battery Swap Stations (BSS) are becoming increasingly important in the electric vehicle energy service ecosystem. In response to the growing need for BSS to participate in virtual power plant programs, we have developed an optimization model to improve battery service operations. This model allows BSS operators to optimize the battery status and its power service activity within stations, ensuring peak performance when needed. Additionally, the model takes into account the intricate performance parameters of the swapping station and incorporates the operator's projections of swapping demand, ensuring that operational strategies align with the station's capabilities and user requirements. Numerical simulations have confirmed the effectiveness and practicality of the model, which provides a BSS decision support tool for increasing profitability and user satisfaction.
{"title":"Optimal Scheduling Model of Battery Swapping Station with Virtual Power Plant Mode","authors":"Chenxi Song, Yuping Huang, Jinjun Xu, Xiaoyan Deng","doi":"10.1109/ICPECA60615.2024.10470948","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10470948","url":null,"abstract":"Battery Swap Stations (BSS) are becoming increasingly important in the electric vehicle energy service ecosystem. In response to the growing need for BSS to participate in virtual power plant programs, we have developed an optimization model to improve battery service operations. This model allows BSS operators to optimize the battery status and its power service activity within stations, ensuring peak performance when needed. Additionally, the model takes into account the intricate performance parameters of the swapping station and incorporates the operator's projections of swapping demand, ensuring that operational strategies align with the station's capabilities and user requirements. Numerical simulations have confirmed the effectiveness and practicality of the model, which provides a BSS decision support tool for increasing profitability and user satisfaction.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"34 1","pages":"648-655"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530505","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 : 2024-01-26DOI: 10.1109/ICPECA60615.2024.10471032
Shiyi Ma, Outing Li, Mengjun Wang, Yang Li, Feng Wu, Ye Jiao
A reasonable system capacity allocation scheme is basis for the utilization of renewable energy. Firstly, based on environment of desert areas, a capacity optimization model of WPTP hybrid system is established. Then, to study the substitution of pumped storage units to certain thermal power units in the system, a comparative example of WPT power generation hybrid system is set. Finally, the capacity configuration results and indexes are analyzed to verify the advantages of pumped storage as an alternative to thermal power.
{"title":"Capacity optimization of WPTP hybrid system in desert areas","authors":"Shiyi Ma, Outing Li, Mengjun Wang, Yang Li, Feng Wu, Ye Jiao","doi":"10.1109/ICPECA60615.2024.10471032","DOIUrl":"https://doi.org/10.1109/ICPECA60615.2024.10471032","url":null,"abstract":"A reasonable system capacity allocation scheme is basis for the utilization of renewable energy. Firstly, based on environment of desert areas, a capacity optimization model of WPTP hybrid system is established. Then, to study the substitution of pumped storage units to certain thermal power units in the system, a comparative example of WPT power generation hybrid system is set. Finally, the capacity configuration results and indexes are analyzed to verify the advantages of pumped storage as an alternative to thermal power.","PeriodicalId":518671,"journal":{"name":"2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"113 1","pages":"688-692"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530363","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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