{"title":"An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II","authors":"Lei Xing, Yakui Liu","doi":"10.32604/ee.2023.025335","DOIUrl":"https://doi.org/10.32604/ee.2023.025335","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69747165","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}
{"title":"Research on Comprehensive Control of Power Quality of Port Distribution Network Considering Large-Scale Access of Shore Power Load","authors":"Yuqian Qi, Mingshui Li, Yu Lu, Bai-yu Li","doi":"10.32604/ee.2023.025574","DOIUrl":"https://doi.org/10.32604/ee.2023.025574","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69747569","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}
{"title":"Optimal Configuration Method for the Installed Capacity of the Solar-Thermal Power Stations","authors":"Y. Wang, Zhicheng Ma, Jinping Zhang, Qiang Zhou, Ruiping Zhang, Haiying Dong","doi":"10.32604/ee.2023.025668","DOIUrl":"https://doi.org/10.32604/ee.2023.025668","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69747731","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}
Wei Zhang, Bin Ji, Ping He, Nanqin Wang, Yuwei Wang, Mengzhe Zhang
{"title":"Reactive Power Flow Convergence Adjustment Based on Deep Reinforcement Learning","authors":"Wei Zhang, Bin Ji, Ping He, Nanqin Wang, Yuwei Wang, Mengzhe Zhang","doi":"10.32604/ee.2023.026504","DOIUrl":"https://doi.org/10.32604/ee.2023.026504","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69749102","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}
Caifeng Wen, Qiang Wang, Yang Cao, Liru Zhang, Wenxin Wang, Boxin Zhang, Qi Du
{"title":"Correlation Analysis of Wind Turbine Temperature Rise and Exergy Efficiency Based on Field-Path Coupling","authors":"Caifeng Wen, Qiang Wang, Yang Cao, Liru Zhang, Wenxin Wang, Boxin Zhang, Qi Du","doi":"10.32604/ee.2023.027074","DOIUrl":"https://doi.org/10.32604/ee.2023.027074","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69749549","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}
{"title":"Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives","authors":"Bing Wang, Lu Li, X. Jiang","doi":"10.32604/ee.2023.027846","DOIUrl":"https://doi.org/10.32604/ee.2023.027846","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69750342","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}
{"title":"PSO-BP-Based Optimal Allocation Model for Complementary Generation Capacity of the Photovoltaic Power Station","authors":"Zhenfang Liu, Haibo Liu, D. Zhang","doi":"10.32604/ee.2023.027968","DOIUrl":"https://doi.org/10.32604/ee.2023.027968","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69750517","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}
Ramzy S. Hamied, Zaidoon M. Shakor, Anfal H. Sadeiq, Adnan A. Abdul Razak, Ammar T. Khadim
{"title":"Kinetic Modeling of Light Naphtha Hydroisomerization in an Industrial Universal Oil Products Penex™ Unit","authors":"Ramzy S. Hamied, Zaidoon M. Shakor, Anfal H. Sadeiq, Adnan A. Abdul Razak, Ammar T. Khadim","doi":"10.32604/ee.2023.028441","DOIUrl":"https://doi.org/10.32604/ee.2023.028441","url":null,"abstract":"","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69751813","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}
Pollution flashover is one of the major insulation accidents that can occur in modern power systems. If the local arc is not sufficiently elongated by the creepage distance, the flashover performance of the insulator will decrease. The insulator structure and equivalent salt deposition density (ESDD) are the main factors affecting the arc path and length. To investigate the forms of arc paths under different insulator structures and their influence on flashover characteristics, a platform for recording arc paths is established. This study presents a method to identify the pattern and distribution of insulator arc paths based on the effect of initial arc on electric field distribution. The results show that there are two main types of local arc paths between umbrellas — the cling-surface arc and the air-jump arc. Moreover, the air-jump arc includes two types — the bridging arc and the gap arc. With the increase in umbrella spacing and ESDD, the probability of arc propagation along the surface increases. The use of the creepage distance can be improved by changing the creepage coefficient to increase the distance between umbrellas. This method has over 90% accuracy. This study is of great significance for improving insulator structure and reducing pollution flashover accidents.
{"title":"Distribution of Partial Arc Propagation Path on Insulator and Its Discrimination Method","authors":"Zhibo Song, Hao Yang, Wei Shen, Yixin Ren, Ya-wei Li, Jianlong Ma","doi":"10.32604/ee.2023.029115","DOIUrl":"https://doi.org/10.32604/ee.2023.029115","url":null,"abstract":"Pollution flashover is one of the major insulation accidents that can occur in modern power systems. If the local arc is not sufficiently elongated by the creepage distance, the flashover performance of the insulator will decrease. The insulator structure and equivalent salt deposition density (ESDD) are the main factors affecting the arc path and length. To investigate the forms of arc paths under different insulator structures and their influence on flashover characteristics, a platform for recording arc paths is established. This study presents a method to identify the pattern and distribution of insulator arc paths based on the effect of initial arc on electric field distribution. The results show that there are two main types of local arc paths between umbrellas — the cling-surface arc and the air-jump arc. Moreover, the air-jump arc includes two types — the bridging arc and the gap arc. With the increase in umbrella spacing and ESDD, the probability of arc propagation along the surface increases. The use of the creepage distance can be improved by changing the creepage coefficient to increase the distance between umbrellas. This method has over 90% accuracy. This study is of great significance for improving insulator structure and reducing pollution flashover accidents.","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69753194","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}
Deng Lu, Xujun Lang, Bo Yang, Ziyang Li, Hang Geng
The four-circuit parallel line on the same tower effectively solves the problems faced by the line reconstruction and construction under the condition of the increasing shortage of transmission corridors. Optimizing the conductor and phase sequence arrangement of multiple transmission lines is conducive to improving electromagnetic and electrostatic coupling caused by electromagnetic problems. This paper uses the ATP-EMTP simulation software to build a 500 kV multi-circuit transmission line on the same tower. It stimulates the induced voltage and current values of different line lengths, tower spacing, vertical and horizontal spacing between different circuits, phase sequence arrangement, and nominal tower height. Moreover, use the BP neural network optimized by a genetic algorithm to predict the induced voltage and current under the unknown conductor and phase sequence arrangement. Finally, based on multi-objective particle swarm algorithm to construct the optimization model of conductor arrangement scheme of overhead transmission line, combined with electromagnetic environment control index, determine the optimal conductor arrangement scheme by the size of particle fitness function, a significant reduction in induced voltages and currents between transmission lines and the four-circuit conductor layout scheme meeting the requirements of the electromagnetic environment is obtained, which provides a reference for the tower design of the transmission station project.
{"title":"Conductor Arrangement and Phase Sequence Optimization Scheme for 500 kV Four-Circuit Transmission Lines on Same Tower","authors":"Deng Lu, Xujun Lang, Bo Yang, Ziyang Li, Hang Geng","doi":"10.32604/ee.2023.029140","DOIUrl":"https://doi.org/10.32604/ee.2023.029140","url":null,"abstract":"The four-circuit parallel line on the same tower effectively solves the problems faced by the line reconstruction and construction under the condition of the increasing shortage of transmission corridors. Optimizing the conductor and phase sequence arrangement of multiple transmission lines is conducive to improving electromagnetic and electrostatic coupling caused by electromagnetic problems. This paper uses the ATP-EMTP simulation software to build a 500 kV multi-circuit transmission line on the same tower. It stimulates the induced voltage and current values of different line lengths, tower spacing, vertical and horizontal spacing between different circuits, phase sequence arrangement, and nominal tower height. Moreover, use the BP neural network optimized by a genetic algorithm to predict the induced voltage and current under the unknown conductor and phase sequence arrangement. Finally, based on multi-objective particle swarm algorithm to construct the optimization model of conductor arrangement scheme of overhead transmission line, combined with electromagnetic environment control index, determine the optimal conductor arrangement scheme by the size of particle fitness function, a significant reduction in induced voltages and currents between transmission lines and the four-circuit conductor layout scheme meeting the requirements of the electromagnetic environment is obtained, which provides a reference for the tower design of the transmission station project.","PeriodicalId":35610,"journal":{"name":"Energy Engineering: Journal of the Association of Energy Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135755337","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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