Pub Date : 2023-01-01DOI: 10.1504/ijetp.2023.134158
Zheng Xie
In view of the low Pearson correlation coefficient and Kendall correlation coefficient in traditional methods, the paper proposes a comprehensive energy retail market transaction evaluation model based on carbon neutrality. Firstly, with the goal of carbon-neutral development, we put forward two constraints: carbon dioxide emissions constraint and energy balance constraint. Secondly, the comprehensive energy retail market and its transaction structure are analysed, and transaction evaluation model is designed. Finally, taking the supply side, retail side and demand side data as the input variables of the model, and the transaction evaluation results as the output variables of the model, and a comprehensive energy retail market transaction evaluation model with carbon neutrality as the development goal is built. The experiment shows that the Pearson correlation coefficient of this method is closer to 1, and the Kendall correlation coefficient increases from 0.93 to 0.97.
{"title":"Comprehensive energy retail market transaction evaluation model based on carbon neutrality","authors":"Zheng Xie","doi":"10.1504/ijetp.2023.134158","DOIUrl":"https://doi.org/10.1504/ijetp.2023.134158","url":null,"abstract":"In view of the low Pearson correlation coefficient and Kendall correlation coefficient in traditional methods, the paper proposes a comprehensive energy retail market transaction evaluation model based on carbon neutrality. Firstly, with the goal of carbon-neutral development, we put forward two constraints: carbon dioxide emissions constraint and energy balance constraint. Secondly, the comprehensive energy retail market and its transaction structure are analysed, and transaction evaluation model is designed. Finally, taking the supply side, retail side and demand side data as the input variables of the model, and the transaction evaluation results as the output variables of the model, and a comprehensive energy retail market transaction evaluation model with carbon neutrality as the development goal is built. The experiment shows that the Pearson correlation coefficient of this method is closer to 1, and the Kendall correlation coefficient increases from 0.93 to 0.97.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136305792","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 : 2023-01-01DOI: 10.1504/ijetp.2023.10058568
Liyu Huang, Bin Guo, Yuan Zhang, Yin Zheng
{"title":"A coordinated and optimized scheduling method for integrated energy systems based on improved genetic algorithm","authors":"Liyu Huang, Bin Guo, Yuan Zhang, Yin Zheng","doi":"10.1504/ijetp.2023.10058568","DOIUrl":"https://doi.org/10.1504/ijetp.2023.10058568","url":null,"abstract":"","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66772263","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 : 2023-01-01DOI: 10.1504/ijetp.2023.10058510
Yijie Zhu, Zhenzhuo Wang
{"title":"Fault identification method of electrical automation distribution equipment in distribution networks based on neural network","authors":"Yijie Zhu, Zhenzhuo Wang","doi":"10.1504/ijetp.2023.10058510","DOIUrl":"https://doi.org/10.1504/ijetp.2023.10058510","url":null,"abstract":"","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66772371","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 : 2023-01-01DOI: 10.1504/ijetp.2023.10058569
Yin Zheng, Miaozhuang Cai, Liyu Huang, Yuan Zhang
{"title":"Evaluation method for energy saving and emission reduction effects of high energy-consuming enterprises based on K-Means clustering","authors":"Yin Zheng, Miaozhuang Cai, Liyu Huang, Yuan Zhang","doi":"10.1504/ijetp.2023.10058569","DOIUrl":"https://doi.org/10.1504/ijetp.2023.10058569","url":null,"abstract":"","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"320 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66772561","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 : 2023-01-01DOI: 10.1504/ijetp.2023.10058660
Yun Fu, Minlei Zhang
{"title":"A Safe Operation Control Method for Intelligent Distribution Network Based on Mode Conversion","authors":"Yun Fu, Minlei Zhang","doi":"10.1504/ijetp.2023.10058660","DOIUrl":"https://doi.org/10.1504/ijetp.2023.10058660","url":null,"abstract":"","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66772835","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 : 2023-01-01DOI: 10.1504/ijetp.2023.10058659
Linyan Zhou, Junrong Liu, Zeyuan Zhou
{"title":"Power System State Monitoring Big Data Query Based on Multilevel index","authors":"Linyan Zhou, Junrong Liu, Zeyuan Zhou","doi":"10.1504/ijetp.2023.10058659","DOIUrl":"https://doi.org/10.1504/ijetp.2023.10058659","url":null,"abstract":"","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66773230","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 : 2023-01-01DOI: 10.1504/ijetp.2023.134159
Zhenzhuo Wang, Yijie Zhu
Fault identification of power distribution equipment is of great significance in ensuring the reliability of power supply, saving operating costs, and improving work efficiency. Therefore, a fault identification method of electrical automation distribution equipment in distribution networks based on neural network is proposed. AT89C51 microcontroller is used to establish the architecture of equipment running status signal acquisition, and carry out noise reduction processing. The BP neural network is used to build a fault identification model for power distribution equipment, with the filtered signal used as the model input parameter, and the fault identification result used as the model output parameter, to obtain the fault identification result. The experimental results show that the signal-to-noise ratio of the equipment operation signal of this method has an average value of 54.61 dB, the recognition accuracy remains above 95%, and the average completion time of the identification task is 69.1 ms.
{"title":"Fault identification method of electrical automation distribution equipment in distribution networks based on neural network","authors":"Zhenzhuo Wang, Yijie Zhu","doi":"10.1504/ijetp.2023.134159","DOIUrl":"https://doi.org/10.1504/ijetp.2023.134159","url":null,"abstract":"Fault identification of power distribution equipment is of great significance in ensuring the reliability of power supply, saving operating costs, and improving work efficiency. Therefore, a fault identification method of electrical automation distribution equipment in distribution networks based on neural network is proposed. AT89C51 microcontroller is used to establish the architecture of equipment running status signal acquisition, and carry out noise reduction processing. The BP neural network is used to build a fault identification model for power distribution equipment, with the filtered signal used as the model input parameter, and the fault identification result used as the model output parameter, to obtain the fault identification result. The experimental results show that the signal-to-noise ratio of the equipment operation signal of this method has an average value of 54.61 dB, the recognition accuracy remains above 95%, and the average completion time of the identification task is 69.1 ms.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136304311","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 : 2023-01-01DOI: 10.1504/ijetp.2023.134169
Minlei Zhang, Yun Fu
{"title":"A safe operation control method for intelligent distribution network based on mode conversion","authors":"Minlei Zhang, Yun Fu","doi":"10.1504/ijetp.2023.134169","DOIUrl":"https://doi.org/10.1504/ijetp.2023.134169","url":null,"abstract":"","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136305320","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 : 2023-01-01DOI: 10.1504/ijetp.2023.134163
Yuanliang Zhang, Bin Guo, Liyu Huang, Yin Zheng
A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm is proposed in order to improve the energy output efficiency of integrated energy systems. The multi-objective and multi-time dynamic loading model for an integrated energy system is constructed, and the power flow equation for the multi-energy network of electricity, gas and heat is established. The objective function for the coordinated scheduling model of the integrated energy system is designed by introducing the improved genetic algorithm, and the configuration parameters of the objective function are optimised by improving the crossover, variation and the rules of its own cold and heat conversion, so as to realise the coordinated and optimised scheduling of the integrated energy system and get the final scheduling model. The test results show that the proposed method can improve the balance of energy output and the energy efficiency of the system and shorten the convergence time.
{"title":"A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm","authors":"Yuanliang Zhang, Bin Guo, Liyu Huang, Yin Zheng","doi":"10.1504/ijetp.2023.134163","DOIUrl":"https://doi.org/10.1504/ijetp.2023.134163","url":null,"abstract":"A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm is proposed in order to improve the energy output efficiency of integrated energy systems. The multi-objective and multi-time dynamic loading model for an integrated energy system is constructed, and the power flow equation for the multi-energy network of electricity, gas and heat is established. The objective function for the coordinated scheduling model of the integrated energy system is designed by introducing the improved genetic algorithm, and the configuration parameters of the objective function are optimised by improving the crossover, variation and the rules of its own cold and heat conversion, so as to realise the coordinated and optimised scheduling of the integrated energy system and get the final scheduling model. The test results show that the proposed method can improve the balance of energy output and the energy efficiency of the system and shorten the convergence time.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"335 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136304562","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 : 2023-01-01DOI: 10.1504/ijetp.2023.134167
Yalei Shang
If there is a significant voltage control error in the uninterruptible power supply (UPS) of weak current systems, it will seriously reduce the stability of the power supply. Therefore, a virtual impedance based UPS control method for weak current systems is proposed. Firstly, analyse the basic structure of weak current systems and uninterruptible power supplies. Secondly, an inverter output inductor current feedback is added outside the voltage and current dual loop control of the UPS to form a virtual impedance loop. Finally, virtual impedance is used to suppress the inverter circulating current of the UPS in the weak current system, thereby completing the control of the UPS. The experimental results show that the maximum voltage control error of the proposed method does not exceed ±0.331 V. Therefore, it indicates that the UPS control performance of this method is good.
{"title":"A control method for uninterruptible power supply in weak current systems based on virtual impedance","authors":"Yalei Shang","doi":"10.1504/ijetp.2023.134167","DOIUrl":"https://doi.org/10.1504/ijetp.2023.134167","url":null,"abstract":"If there is a significant voltage control error in the uninterruptible power supply (UPS) of weak current systems, it will seriously reduce the stability of the power supply. Therefore, a virtual impedance based UPS control method for weak current systems is proposed. Firstly, analyse the basic structure of weak current systems and uninterruptible power supplies. Secondly, an inverter output inductor current feedback is added outside the voltage and current dual loop control of the UPS to form a virtual impedance loop. Finally, virtual impedance is used to suppress the inverter circulating current of the UPS in the weak current system, thereby completing the control of the UPS. The experimental results show that the maximum voltage control error of the proposed method does not exceed ±0.331 V. Therefore, it indicates that the UPS control performance of this method is good.","PeriodicalId":35754,"journal":{"name":"International Journal of Energy Technology and Policy","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136304619","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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