Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030277
Daming Wang, Z. J. Shen, Xin Yin, Sai Tang, Jui-Pin Wang, Zhikang Shuai
This article proposes a new neural network based adaptive model predictive control (named NN-AMPC) for power converters under load parameter uncertainties. Firstly, a supervisor MPC controller is designed for power converter using matched model parameters. Next, a NN is built and trained offline utilizing the operating information from the supervisor controller. A practical adaptive MPC controller using FPGA is then set up utilizing the trained NN to control the power converter online. The proposed NN-AMPC can adaptively track the variation of load parameters without extra identification process of load parameters. The dynamic response of the NN-AMPC under step changes in load parameters are analyzed and compared with conventional MPC. The concept of NN-AMPC is verified by experimental results on a 3-phase voltage source inverter (VSI) as the case study. It is shown that, the FPGA-based NN-AMPC controller offers better dynamic performance in the presence of uncertain parameters while utilizes reduced FPGA resource requirement compared with the observer based MPC controller.
{"title":"Neural Network Based Adaptive Model Predictive Control for Power Converters Under Load Parameter Uncertainties","authors":"Daming Wang, Z. J. Shen, Xin Yin, Sai Tang, Jui-Pin Wang, Zhikang Shuai","doi":"10.1109/CEECT55960.2022.10030277","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030277","url":null,"abstract":"This article proposes a new neural network based adaptive model predictive control (named NN-AMPC) for power converters under load parameter uncertainties. Firstly, a supervisor MPC controller is designed for power converter using matched model parameters. Next, a NN is built and trained offline utilizing the operating information from the supervisor controller. A practical adaptive MPC controller using FPGA is then set up utilizing the trained NN to control the power converter online. The proposed NN-AMPC can adaptively track the variation of load parameters without extra identification process of load parameters. The dynamic response of the NN-AMPC under step changes in load parameters are analyzed and compared with conventional MPC. The concept of NN-AMPC is verified by experimental results on a 3-phase voltage source inverter (VSI) as the case study. It is shown that, the FPGA-based NN-AMPC controller offers better dynamic performance in the presence of uncertain parameters while utilizes reduced FPGA resource requirement compared with the observer based MPC controller.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132421774","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030653
Cuimian Liu, Haiyan Wang, Ningjing Wang, Qiang Ye, Jieying Liu, Yi Zhang, Wei Hu
Aiming at the problems of single traditional index, fuzzy evaluation result and subjective index weight in evaluating the investment benefit of substation project, a substation project evaluation model based on coefficient of variation and fuzzy comprehensive evaluation is constructed. First of all, this paper constructs a more perfect evaluation substation project investment index system from four dimensions: project maturity, project rationality, project effectiveness and investment construction environment. Furthermore, a combination weighting method based on coefficient of variation is proposed and introduced into the calculation of fuzzy comprehensive score, and the necessity model of power grid project investment is established. Finally, an example analysis is carried out for the 35kv project put into production in a certain province, and it is verified that the weighting method and evaluation model proposed in this paper can reasonably and effectively quantify the investment benefit and necessity of the evaluated substation project, which is practical in promoting the lean investment of the substation project.
{"title":"Substation Project Evaluation Model Based on Coefficient of Variation And Fuzzy Comprehensive Evaluation","authors":"Cuimian Liu, Haiyan Wang, Ningjing Wang, Qiang Ye, Jieying Liu, Yi Zhang, Wei Hu","doi":"10.1109/CEECT55960.2022.10030653","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030653","url":null,"abstract":"Aiming at the problems of single traditional index, fuzzy evaluation result and subjective index weight in evaluating the investment benefit of substation project, a substation project evaluation model based on coefficient of variation and fuzzy comprehensive evaluation is constructed. First of all, this paper constructs a more perfect evaluation substation project investment index system from four dimensions: project maturity, project rationality, project effectiveness and investment construction environment. Furthermore, a combination weighting method based on coefficient of variation is proposed and introduced into the calculation of fuzzy comprehensive score, and the necessity model of power grid project investment is established. Finally, an example analysis is carried out for the 35kv project put into production in a certain province, and it is verified that the weighting method and evaluation model proposed in this paper can reasonably and effectively quantify the investment benefit and necessity of the evaluated substation project, which is practical in promoting the lean investment of the substation project.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"192 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132664543","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030350
Zhang Wei, Yang Qianwen, Wu Xinyu, Xia Yunqing, Liu Youmin, Chen Ci
This paper designs a permanent magnet direct drive system for mining flotation machine. Firstly, the system is based on the field-oriented vector control method combining Maximum Torque Per Ampere control and Field-Weakening. Secondly, the hardware and software platform is designed and built, and the operation test is carried out. Finally, the test results show that the permanent magnet direct drive system has better dynamic and static response performance than the traditional flotation machine driven by asynchronous motor. And in practical application, the energy consumption is smaller and the economic benefit is higher.
{"title":"Development of a Permanent Magnet Direct Drive System for Mining Flotation Machine","authors":"Zhang Wei, Yang Qianwen, Wu Xinyu, Xia Yunqing, Liu Youmin, Chen Ci","doi":"10.1109/CEECT55960.2022.10030350","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030350","url":null,"abstract":"This paper designs a permanent magnet direct drive system for mining flotation machine. Firstly, the system is based on the field-oriented vector control method combining Maximum Torque Per Ampere control and Field-Weakening. Secondly, the hardware and software platform is designed and built, and the operation test is carried out. Finally, the test results show that the permanent magnet direct drive system has better dynamic and static response performance than the traditional flotation machine driven by asynchronous motor. And in practical application, the energy consumption is smaller and the economic benefit is higher.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122209617","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 a power conversion interface for new energy generation into the power grid, grid-connected inverters are more and more widely used in modern power systems, and multiple inverters parallel technology has become one of the most mature technologies. When multiple inverters operate in parallel, droop control can be used to solve the problem of power sharing without relying on communication equipment. In order to ensure the stability of the inverter, three factors should be considered in the parameter design of the droop control, which are stability of drooping power outer loop, stability of voltage control double closed-loop and effects of current limiting on system stability. In this paper, the root locus method, bode diagram analysis method and simulation analysis method are used to theoretically analyze the stability problems caused by the above three factors. Meanwhile, the theoretical analysis is verified in Matlab/Simulink environment, which proves the correctness of the theoretical analysis.
{"title":"Control and Instability Analysis of Multiple Inverters Parallel Based on Droop Control","authors":"Wei Zhong, Zhimin Wu, Huajian Wu, Kaimei Zhao, Weidong Bao, Chen Wei","doi":"10.1109/CEECT55960.2022.10030571","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030571","url":null,"abstract":"As a power conversion interface for new energy generation into the power grid, grid-connected inverters are more and more widely used in modern power systems, and multiple inverters parallel technology has become one of the most mature technologies. When multiple inverters operate in parallel, droop control can be used to solve the problem of power sharing without relying on communication equipment. In order to ensure the stability of the inverter, three factors should be considered in the parameter design of the droop control, which are stability of drooping power outer loop, stability of voltage control double closed-loop and effects of current limiting on system stability. In this paper, the root locus method, bode diagram analysis method and simulation analysis method are used to theoretically analyze the stability problems caused by the above three factors. Meanwhile, the theoretical analysis is verified in Matlab/Simulink environment, which proves the correctness of the theoretical analysis.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131985108","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030636
Le Yu, Chunying Tong, Yanbin Li, Dongjun Cui, Jingping Zhang, Ying Wang
With multiple types of demand-side flexible loads integrating to the distribution system (DS), demand side management is a way to improve the operation of the DS. Different types of flexible loads show different load characteristics and demand response performance. In this paper, the demand response strategy three types of representative flexible loads, i.e., electric vehicle charging stations, large industrial users with energy storage, and air conditioning clusters are established. Furthermore, an operation evaluation method for analyzing the impact of multiple types of flexible loads on DS is proposed. Finally, the proposed strategy and analysis method are validated on the modified IEEE-37 distribution network.
{"title":"Operation Analysis of Power Distribution System Considering Demand Side Response of Multiple Types of Flexible Loads","authors":"Le Yu, Chunying Tong, Yanbin Li, Dongjun Cui, Jingping Zhang, Ying Wang","doi":"10.1109/CEECT55960.2022.10030636","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030636","url":null,"abstract":"With multiple types of demand-side flexible loads integrating to the distribution system (DS), demand side management is a way to improve the operation of the DS. Different types of flexible loads show different load characteristics and demand response performance. In this paper, the demand response strategy three types of representative flexible loads, i.e., electric vehicle charging stations, large industrial users with energy storage, and air conditioning clusters are established. Furthermore, an operation evaluation method for analyzing the impact of multiple types of flexible loads on DS is proposed. Finally, the proposed strategy and analysis method are validated on the modified IEEE-37 distribution network.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132020373","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030668
Zihang Wu, Lihua Yang, Xiao Wu
The combined heat and power integrated energy system(CHP-IES) is considered to be an important development direction of the future energy system because it can supply energy with high proportion of renewables to the end-users in an efficient and independent manner. However, the operation of the CHP-IES is challenging due to the characteristics of strong multi-variable coupling and dynamic differences between thermal and electrical processes. Moreover, there are strong uncertain fluctuations in both the renewable sources and load demands. It is therefore important to develop advanced controllers to achieve the reliable and flexible operation of the CHP-IES. For this reason, this paper presents a multi-variable dynamic matrix controller (DMC) of the CHP-IES based on the dynamics of the system. Simulation results on an off-grid CHP-IES show that the DMC can track the heat and power demands with smaller overshoot and faster speed, thus can reduce the dependence of the system on batteries, compared with the conventional PID controller.
{"title":"Coordinative Control of Combined Heat and Power Integrated Energy System Using Dynamic Matrix Control","authors":"Zihang Wu, Lihua Yang, Xiao Wu","doi":"10.1109/CEECT55960.2022.10030668","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030668","url":null,"abstract":"The combined heat and power integrated energy system(CHP-IES) is considered to be an important development direction of the future energy system because it can supply energy with high proportion of renewables to the end-users in an efficient and independent manner. However, the operation of the CHP-IES is challenging due to the characteristics of strong multi-variable coupling and dynamic differences between thermal and electrical processes. Moreover, there are strong uncertain fluctuations in both the renewable sources and load demands. It is therefore important to develop advanced controllers to achieve the reliable and flexible operation of the CHP-IES. For this reason, this paper presents a multi-variable dynamic matrix controller (DMC) of the CHP-IES based on the dynamics of the system. Simulation results on an off-grid CHP-IES show that the DMC can track the heat and power demands with smaller overshoot and faster speed, thus can reduce the dependence of the system on batteries, compared with the conventional PID controller.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134095730","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030731
Xuan Zhang, Zihan Tang, Xiao Wu
Blast furnace gas-fired combined-cycle gas turbine (BFG-CCGT) is important in the steelmaking industry because it can convert the flue gas of blast furnace into electricity power in a highly efficient way. However, due to the large inertia, strong coupling and nonlinearity characteristics of CCGT, it has difficulties to achieve the ideal control effects. In addition, frequent fluctuations in the calorific value of BFG cause disturbances to the system, degrading the operating performance of the plant. It is thus urgent to develop advanced controllers to achieve flexible and reliable operation of the BFG-CCGT. For this reason, this paper develops a dynamic matrix control (DMC) with BFG calorific value feed-forward for the BFG-CCGT based on the understanding of system dynamic characteristics. Simulation results verify that the proposed DMC can effectively control the BFG-CCGT under variable working conditions and gas calorific value disturbances, providing fast and smooth tracking of the given set values.
{"title":"Dynamic Matrix Control with Gas Calorific Value Feed-Forward Design for Blast Furnace Gas-Fired Combined-Cycle Gas Turbine","authors":"Xuan Zhang, Zihan Tang, Xiao Wu","doi":"10.1109/CEECT55960.2022.10030731","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030731","url":null,"abstract":"Blast furnace gas-fired combined-cycle gas turbine (BFG-CCGT) is important in the steelmaking industry because it can convert the flue gas of blast furnace into electricity power in a highly efficient way. However, due to the large inertia, strong coupling and nonlinearity characteristics of CCGT, it has difficulties to achieve the ideal control effects. In addition, frequent fluctuations in the calorific value of BFG cause disturbances to the system, degrading the operating performance of the plant. It is thus urgent to develop advanced controllers to achieve flexible and reliable operation of the BFG-CCGT. For this reason, this paper develops a dynamic matrix control (DMC) with BFG calorific value feed-forward for the BFG-CCGT based on the understanding of system dynamic characteristics. Simulation results verify that the proposed DMC can effectively control the BFG-CCGT under variable working conditions and gas calorific value disturbances, providing fast and smooth tracking of the given set values.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170414","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030457
C. Yuting, Hong-hui Qiu, Shen Ran, Mao Lei, L. Junhui, He Wei
Under the background of electric power system reform, the storage management of materials is related to the efficiency of the operation of electric power Supply Company. This article shows how to enhance the details of the acceptance, storage and delivery, and how to effectively manage the materials, and put forward a modern electric power storage management system, the actual operation proved its advanced nature and effectiveness.
{"title":"The Analysis and Optimization of the Storage Management in Power Supply Company","authors":"C. Yuting, Hong-hui Qiu, Shen Ran, Mao Lei, L. Junhui, He Wei","doi":"10.1109/CEECT55960.2022.10030457","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030457","url":null,"abstract":"Under the background of electric power system reform, the storage management of materials is related to the efficiency of the operation of electric power Supply Company. This article shows how to enhance the details of the acceptance, storage and delivery, and how to effectively manage the materials, and put forward a modern electric power storage management system, the actual operation proved its advanced nature and effectiveness.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122995086","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030548
Meiying Wu, Guan Wang, Hongshun Liu
The rapid development of artificial intelligence provides a new method with higher accuracy for transformer fault diagnosis, but the existing fault diagnosis models are not conducive to handling unbalanced data sets. In order to improve the accuracy of transformer fault diagnosis, a diagnosis method combining SMOTE and random forest is proposed. The SMOTE algorithm is used to expand the minority fault samples of transformer oil chromatography fault data set to balance the data quantity of each fault type. Then, the random forest classifier is used to identify the faults of the data that have not been expanded and the data that have been expanded by SMOTE respectively. The diagnosis results show that the accuracy of fault diagnosis can be significantly improved by using SMOTE to expand the unbalanced transformer oil chromatography fault data set before fault diagnosis. In addition, the results of several other fault diagnosis models are added to verify the above conclusion. At the same time, it is concluded that the random forest classifier is the model with the highest diagnostic accuracy among several fault diagnosis models, so it is an ideal choice for transformer fault diagnosis.
{"title":"Research on Transformer Fault Diagnosis Based on SMOTE and Random Forest","authors":"Meiying Wu, Guan Wang, Hongshun Liu","doi":"10.1109/CEECT55960.2022.10030548","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030548","url":null,"abstract":"The rapid development of artificial intelligence provides a new method with higher accuracy for transformer fault diagnosis, but the existing fault diagnosis models are not conducive to handling unbalanced data sets. In order to improve the accuracy of transformer fault diagnosis, a diagnosis method combining SMOTE and random forest is proposed. The SMOTE algorithm is used to expand the minority fault samples of transformer oil chromatography fault data set to balance the data quantity of each fault type. Then, the random forest classifier is used to identify the faults of the data that have not been expanded and the data that have been expanded by SMOTE respectively. The diagnosis results show that the accuracy of fault diagnosis can be significantly improved by using SMOTE to expand the unbalanced transformer oil chromatography fault data set before fault diagnosis. In addition, the results of several other fault diagnosis models are added to verify the above conclusion. At the same time, it is concluded that the random forest classifier is the model with the highest diagnostic accuracy among several fault diagnosis models, so it is an ideal choice for transformer fault diagnosis.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127866690","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 electric vehicle (EV) charging facilities continue to grow in size, the proper operation of EV charging posts is of particular importance. However, certain non-human factors can lead to data anomalies in charging posts, thus hindering the normal operation of EV charging posts, as well as the daily operation and profitability of charging stations. Therefore, this paper lectures on the features of generative adversarial networks (GAN) that can retain the original data features and random forests that can detect anomalous data, and performs anomaly detection on the anomalous data detected by the EV charging station management system. Finally, the experimental results show that the GAN used in this paper can generate more anomalous data to augment the original dataset and that the model trained from the data-augmented dataset has higher data anomaly detection capability than the model trained from the dataset with less anomalous data without data augmentation.
{"title":"Data Augmentation Based Anomaly Data Detection for Charging Piles","authors":"Wen Sun, Qingming Lin, Wenhui Zhang, Xiaocun Wang, Qi Feng, Yun Zhou","doi":"10.1109/CEECT55960.2022.10030664","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030664","url":null,"abstract":"As electric vehicle (EV) charging facilities continue to grow in size, the proper operation of EV charging posts is of particular importance. However, certain non-human factors can lead to data anomalies in charging posts, thus hindering the normal operation of EV charging posts, as well as the daily operation and profitability of charging stations. Therefore, this paper lectures on the features of generative adversarial networks (GAN) that can retain the original data features and random forests that can detect anomalous data, and performs anomaly detection on the anomalous data detected by the EV charging station management system. Finally, the experimental results show that the GAN used in this paper can generate more anomalous data to augment the original dataset and that the model trained from the data-augmented dataset has higher data anomaly detection capability than the model trained from the dataset with less anomalous data without data augmentation.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121075788","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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