Pub Date : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952178
Xiaoxuan Han, Yanlin Jin, Ge Wu, Sixin Guo, Tingjian Liu
Although deep learning-based predictors have achieved high accuracy in phasor measurement units (PMUs)-based post-fault transient stability assessment (TSA), most of these “black-box” models are not interpretable, making it difficult for operators to select proper countermeasures for instability prevention. To address this problem, a novel deep learning model embedded with self-attention layers is firstly proposed for TSA. After that, a transfer learning strategy is further proposed to develop a set of predictors aiming at the identification of unstable generators. Case study on the New England to-machine 39-bus system shows that, compared with other baseline models, the proposed self-attention-embedded model is able to achieve better performance in transient stability classification. Moreover, together with the embedded attention module, the predictors generated by transfer learning can be used to inform the operators about the cluster of the unstable generators in the disturbed power system.
{"title":"A self-attention-embedded deep learning model for phasor measurement unit-based post-fault transient stability prediction","authors":"Xiaoxuan Han, Yanlin Jin, Ge Wu, Sixin Guo, Tingjian Liu","doi":"10.1109/ACFPE56003.2022.9952178","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952178","url":null,"abstract":"Although deep learning-based predictors have achieved high accuracy in phasor measurement units (PMUs)-based post-fault transient stability assessment (TSA), most of these “black-box” models are not interpretable, making it difficult for operators to select proper countermeasures for instability prevention. To address this problem, a novel deep learning model embedded with self-attention layers is firstly proposed for TSA. After that, a transfer learning strategy is further proposed to develop a set of predictors aiming at the identification of unstable generators. Case study on the New England to-machine 39-bus system shows that, compared with other baseline models, the proposed self-attention-embedded model is able to achieve better performance in transient stability classification. Moreover, together with the embedded attention module, the predictors generated by transfer learning can be used to inform the operators about the cluster of the unstable generators in the disturbed power system.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"6 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526524","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952263
Yu Gu, Jianbo Yi, Zhenyuan Zhang, Qi Huang
Virtual synchronous generator (VSG) control strategy of distributed power generation system (DPGS) is an attractive interfacing solution for high-penetration renewable generation systems. However, in the case of short micro network feeder conditions, DPGS exhibits synchronous frequency resonance (SFR) phenomenon in the face of imbalanced DC components in power gird. This paper uses small signal analysis method to deduce the SFR mechanism in detail, which has not been well-explored in the prior research. Then discusses the effect of line impedance on its dynamic stability and proposes to add the use of virtual resistance in the control link to reduce the resonance peak, so as to solve the SFR problem. Finally, simulation and experiment results verify the correctness of the mechanism and the effectiveness of the suppression method.
{"title":"Analysis and Improvement of Synchronous Frequency Resonance Caused by Imbalance DC Components","authors":"Yu Gu, Jianbo Yi, Zhenyuan Zhang, Qi Huang","doi":"10.1109/ACFPE56003.2022.9952263","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952263","url":null,"abstract":"Virtual synchronous generator (VSG) control strategy of distributed power generation system (DPGS) is an attractive interfacing solution for high-penetration renewable generation systems. However, in the case of short micro network feeder conditions, DPGS exhibits synchronous frequency resonance (SFR) phenomenon in the face of imbalanced DC components in power gird. This paper uses small signal analysis method to deduce the SFR mechanism in detail, which has not been well-explored in the prior research. Then discusses the effect of line impedance on its dynamic stability and proposes to add the use of virtual resistance in the control link to reduce the resonance peak, so as to solve the SFR problem. Finally, simulation and experiment results verify the correctness of the mechanism and the effectiveness of the suppression method.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122207184","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952343
Chunqiao Jin, Chun-juan Jia, Jun Fu, Shicong Wang
Given the lack of inertia of interlinking converter and the poor transient performance of traditional virtual synchronous generator (VSG) control, a parameter adaptive control strategy for interlinking converter is proposed in this paper. This strategy can reduce the overshoot of the AC frequency and effectively improve the dynamic performance of the AC/DC hybrid microgrid. In this paper, based on the power balance of the AC/DC hybrid microgrid interface, the coupling relationship between the AC frequency and the DC voltage is derived, and the influence of the coupling coefficient on the transient and steady-state performance of the system is analyzed. On this basis, the coupling coefficient is adaptively changed, the overshoot of the AC frequency is reduced, the system's inertia is increased, and the system's dynamic performance is improved. Finally, the AC/DC hybrid microgrid model is built through Matlab/Simulink, and the correctness and effectiveness of the strategy are verified by simulation.
{"title":"Inertia control and dynamic performance optimization of interlinking converter based on parameter adaptation","authors":"Chunqiao Jin, Chun-juan Jia, Jun Fu, Shicong Wang","doi":"10.1109/ACFPE56003.2022.9952343","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952343","url":null,"abstract":"Given the lack of inertia of interlinking converter and the poor transient performance of traditional virtual synchronous generator (VSG) control, a parameter adaptive control strategy for interlinking converter is proposed in this paper. This strategy can reduce the overshoot of the AC frequency and effectively improve the dynamic performance of the AC/DC hybrid microgrid. In this paper, based on the power balance of the AC/DC hybrid microgrid interface, the coupling relationship between the AC frequency and the DC voltage is derived, and the influence of the coupling coefficient on the transient and steady-state performance of the system is analyzed. On this basis, the coupling coefficient is adaptively changed, the overshoot of the AC frequency is reduced, the system's inertia is increased, and the system's dynamic performance is improved. Finally, the AC/DC hybrid microgrid model is built through Matlab/Simulink, and the correctness and effectiveness of the strategy are verified by simulation.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131551486","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952255
Qiang Li, Yantao Lou, C. Su, Ziyi Xu, Binbing Xia, Feng Wang
Under the high-altitude environment, air humidity, temperature, pressure, atmospheric neutron and other factors will affect related electrical equipment, it also brings difficulties to the reliable operation of HVDC transmission projects, especially the thyristor, the key device in the converter valve system. Establishing an accurate device life model considering the influence of specific engineering application environmental conditions is of great significance to improve the reliability of devices and the setting of operation and maintenance schemes. Based on the existing accelerated life test theory and the working characteristics of high-power thyristors, this paper builds a thyristor life test chamber at high altitudes. Through the long-term withstand voltage of all the tested thyristors, the actual running time of the breakdown thyristors is recorded, and finally the life prediction model between the thyristor failure rate and different bias voltages in the high-altitude environment is obtained. The model and test results show that the failure rate of thyristor is positively correlated with the applied bias voltage. The failure rate model of thyristor under voltage stress in high-altitude area established by this test can be used to calculate the failure rate of thyristor under different operating conditions of actual engineering in high-altitude environment, and it has important guiding significance for predicting the life and improving the reliability of the entire HVDC transmission system.
{"title":"Research on Reliability Life Model of Thyristor in HVDC Converter Valve System in High-altitude Environment","authors":"Qiang Li, Yantao Lou, C. Su, Ziyi Xu, Binbing Xia, Feng Wang","doi":"10.1109/ACFPE56003.2022.9952255","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952255","url":null,"abstract":"Under the high-altitude environment, air humidity, temperature, pressure, atmospheric neutron and other factors will affect related electrical equipment, it also brings difficulties to the reliable operation of HVDC transmission projects, especially the thyristor, the key device in the converter valve system. Establishing an accurate device life model considering the influence of specific engineering application environmental conditions is of great significance to improve the reliability of devices and the setting of operation and maintenance schemes. Based on the existing accelerated life test theory and the working characteristics of high-power thyristors, this paper builds a thyristor life test chamber at high altitudes. Through the long-term withstand voltage of all the tested thyristors, the actual running time of the breakdown thyristors is recorded, and finally the life prediction model between the thyristor failure rate and different bias voltages in the high-altitude environment is obtained. The model and test results show that the failure rate of thyristor is positively correlated with the applied bias voltage. The failure rate model of thyristor under voltage stress in high-altitude area established by this test can be used to calculate the failure rate of thyristor under different operating conditions of actual engineering in high-altitude environment, and it has important guiding significance for predicting the life and improving the reliability of the entire HVDC transmission system.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127927687","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952348
Bin Che, Chuan He, Baosheng Chen, Yuliang Qing, Qiang Ji
With the expansion of electric vehicles (EVs), the power system has gained new operating characteristics. The impact of EV load on economic dispatch and stable operation of the power grid should be taken into account. Therefore, this paper proposes a hybrid AC/DC distribution network low-carbon scheduling model considering the orderly charging of EVs. On the basis of the hybrid AC/DC distribution network operation model, the charge-discharge operation scheduling model of EVs in hybrid AC/DC distribution network is established, while the low-carbon operation constraints of distribution network are further constructed. Finally, the effect of the proposed model in peak-valley regulation and economic optimization of electric load is verified in the result analysis.
{"title":"Research on Scheduling of Hybrid AC/DC Distribution Network Considering V2G","authors":"Bin Che, Chuan He, Baosheng Chen, Yuliang Qing, Qiang Ji","doi":"10.1109/ACFPE56003.2022.9952348","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952348","url":null,"abstract":"With the expansion of electric vehicles (EVs), the power system has gained new operating characteristics. The impact of EV load on economic dispatch and stable operation of the power grid should be taken into account. Therefore, this paper proposes a hybrid AC/DC distribution network low-carbon scheduling model considering the orderly charging of EVs. On the basis of the hybrid AC/DC distribution network operation model, the charge-discharge operation scheduling model of EVs in hybrid AC/DC distribution network is established, while the low-carbon operation constraints of distribution network are further constructed. Finally, the effect of the proposed model in peak-valley regulation and economic optimization of electric load is verified in the result analysis.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121401780","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952290
C. Liu, Anni Lin, Boqi Zhang, Weikang Kong, Miao Zhu, S. Wen
Nowadays, integrating more renewable energy into power systems has been viewed as an irreversible route to achieving carbon neutrality. However, with the trend of high renewable energy penetration, the randomness and volatility pose a great challenge to the power grid. Compared with the power system with strong inertia, the weak grid is more vulnerable to fluctuations caused by renewable energy generation. In this sense, distributed energy storage systems are necessary for a weak grid to mitigate the negative effect of renewable energy. This paper proposes an optimal location and sizing framework for distributed energy storage systems in a weak power system. Furthermore, the problem is formulated as a non-linear, non-convex optimization problem and solved by an adaptive particle swarm optimization. A real-world weak grid, Ali regional power grid, is selected to perform case studies and numerical results demonstrate the efficiency of the proposed method.
{"title":"Optimal Allocation of Distributed Energy Storage Systems in Weak Grid: A Case Study of Ali, Tibet","authors":"C. Liu, Anni Lin, Boqi Zhang, Weikang Kong, Miao Zhu, S. Wen","doi":"10.1109/ACFPE56003.2022.9952290","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952290","url":null,"abstract":"Nowadays, integrating more renewable energy into power systems has been viewed as an irreversible route to achieving carbon neutrality. However, with the trend of high renewable energy penetration, the randomness and volatility pose a great challenge to the power grid. Compared with the power system with strong inertia, the weak grid is more vulnerable to fluctuations caused by renewable energy generation. In this sense, distributed energy storage systems are necessary for a weak grid to mitigate the negative effect of renewable energy. This paper proposes an optimal location and sizing framework for distributed energy storage systems in a weak power system. Furthermore, the problem is formulated as a non-linear, non-convex optimization problem and solved by an adaptive particle swarm optimization. A real-world weak grid, Ali regional power grid, is selected to perform case studies and numerical results demonstrate the efficiency of the proposed method.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129198002","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}
The evaluation for distribution network engineering contractors is contributed to the development of power system. However, the existing evaluation method which focuses on the overall assessment of contractors is lacking effective evaluation rules for the single project. To deal with this issue, we propose a PCA-based evaluation method for distribution network engineering contractors, to supplement the existing evaluation system. First, evaluation indexes for distribution network engineering contractors were selected by principal component analysis (PCA). The dimensions of the raw data can be reduced and main feature components of data can be extracted by PCA. Then, the weight of each index was calculated to enhance the applicability of the selected index. Finally, based on the selected quality indexes and the weight of them, we propose an evaluation method for the single project. Experiments have been carried out and the results shows that the proposed method is validated to be effective when evaluating the single project for the distribution network engineering contractors.
{"title":"A PCA-based Evaluation Method for Distribution Network Engineering Contractors","authors":"Jiyu Li, Xue Chen, Dacai Chen, Zhiyuan Guo, Dingwen Yu, Zhibin Xu, Feixiong Chen, Zhenguo Shao","doi":"10.1109/ACFPE56003.2022.9952262","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952262","url":null,"abstract":"The evaluation for distribution network engineering contractors is contributed to the development of power system. However, the existing evaluation method which focuses on the overall assessment of contractors is lacking effective evaluation rules for the single project. To deal with this issue, we propose a PCA-based evaluation method for distribution network engineering contractors, to supplement the existing evaluation system. First, evaluation indexes for distribution network engineering contractors were selected by principal component analysis (PCA). The dimensions of the raw data can be reduced and main feature components of data can be extracted by PCA. Then, the weight of each index was calculated to enhance the applicability of the selected index. Finally, based on the selected quality indexes and the weight of them, we propose an evaluation method for the single project. Experiments have been carried out and the results shows that the proposed method is validated to be effective when evaluating the single project for the distribution network engineering contractors.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115714487","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952252
D. Peng, Yawei Xue, Hongyang Liu, Haoran Zhao, Xiaorui Hu, Ziyan Jiang, Shu Wang
Along with large-scale of renewable generation integration, energy storage systems (ESS) as the flexible resource become one of essential components in the power systems. Power spot market provides the necessary market environment for ESS to gain revenue as an independent and competitive market participant. In the paper, an evaluation method of scale requirement of ESS for the purpose of renewable generation accommodation is proposed. The scale projection method of commercial ESS projects based on the energy arbitrage revenue in the power spot market is proposed to estimate the possibility of satisfaction of the required scale of ESS. A long-term power spot market simulation model is utilized to simulate the clearing of the power spot market, as well as the operation of power system including ESS. In the end, a case study of an actual provisional power system is performed.
{"title":"Projection Method of Energy Storage System in Power Spot Market for Renewable Accommodation","authors":"D. Peng, Yawei Xue, Hongyang Liu, Haoran Zhao, Xiaorui Hu, Ziyan Jiang, Shu Wang","doi":"10.1109/ACFPE56003.2022.9952252","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952252","url":null,"abstract":"Along with large-scale of renewable generation integration, energy storage systems (ESS) as the flexible resource become one of essential components in the power systems. Power spot market provides the necessary market environment for ESS to gain revenue as an independent and competitive market participant. In the paper, an evaluation method of scale requirement of ESS for the purpose of renewable generation accommodation is proposed. The scale projection method of commercial ESS projects based on the energy arbitrage revenue in the power spot market is proposed to estimate the possibility of satisfaction of the required scale of ESS. A long-term power spot market simulation model is utilized to simulate the clearing of the power spot market, as well as the operation of power system including ESS. In the end, a case study of an actual provisional power system is performed.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"262 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114107849","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}
With concerns about the decline of the original inertia of power system, virtual synchronous generator (VSG) is introduced and becomes a research hotspot rapidly. To analysis the impedance characteristic of VSG and grid-tied system stability, this paper firstly proposes a novel outer control loop of power for the VSG. Combined with the classical inner-current loop, fast current regulation and over-current protection and vector control can be realized. Afterwards, small-signal impedance models of VSG as well as inner-current and outer-power loops in the synchronous reference (d-q) frame are derived. As the d-axis of the d-q frame of VSG varies with the command reference and doesn't always coincide with the system voltage vector during steady state, an impedance transformation matrix (ITM) is introduced, through which all the impedances can be reconstructed to a unified d-q frame for the sake of comparison and analysis. On the basis of the work above, the impedance characteristics and related influence factors like inertia, damping factor are analyzed. Results show that: 1) Inertia and damping factors have little effects on the impedance characteristic; 2) Compared with PLL-based inverter impedance, the impedance characteristic of VSG-based inverter is much better for system stability; 3) At the unity power factor working point, the resistance part of is positive, being of importance for suppressing sub-synchronous oscillation caused by negative resistance. Finally, simulation of data on MATLAB /Simulink is built to testify the validity of the small-signal impedance models.
{"title":"D-Q Small-Signal Impedance Analysis of Improved Virtual Synchronous Generators for Low-frequency Transmission System","authors":"Jing Wu, Yuchao Shi, Haitao Zhang, Zhibin Ye, Chenchen Li, Guofeng Xu","doi":"10.1109/ACFPE56003.2022.9952238","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952238","url":null,"abstract":"With concerns about the decline of the original inertia of power system, virtual synchronous generator (VSG) is introduced and becomes a research hotspot rapidly. To analysis the impedance characteristic of VSG and grid-tied system stability, this paper firstly proposes a novel outer control loop of power for the VSG. Combined with the classical inner-current loop, fast current regulation and over-current protection and vector control can be realized. Afterwards, small-signal impedance models of VSG as well as inner-current and outer-power loops in the synchronous reference (d-q) frame are derived. As the d-axis of the d-q frame of VSG varies with the command reference and doesn't always coincide with the system voltage vector during steady state, an impedance transformation matrix (ITM) is introduced, through which all the impedances can be reconstructed to a unified d-q frame for the sake of comparison and analysis. On the basis of the work above, the impedance characteristics and related influence factors like inertia, damping factor are analyzed. Results show that: 1) Inertia and damping factors have little effects on the impedance characteristic; 2) Compared with PLL-based inverter impedance, the impedance characteristic of VSG-based inverter is much better for system stability; 3) At the unity power factor working point, the resistance part of is positive, being of importance for suppressing sub-synchronous oscillation caused by negative resistance. Finally, simulation of data on MATLAB /Simulink is built to testify the validity of the small-signal impedance models.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123706587","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952306
Hanfeng Wang, Qiannan Xue, Shiqi Kang, Peng Zhang, Che Xu, C. Yan
Performing condition assessment and fault diagnosis for power transformers is an indispensable part to guarantee the safe and economical operations of the power grid. Condition monitoring is the basis of condition assessment and fault diagnosis, and the accuracy of collected data will ensure the accuracy of assessment and diagnosis from the source. During the construction of smart grids, the historical operating data of power transformers present various characteristics such as large quantity and numerous types, so that the condition assessment and fault diagnosis algorithms gradually transition from the threshold judgment method to the machine learning algorithm. In this paper, the methods of transformer condition monitoring in recent years are summarized, and some common research methods of power transformer condition assessment and fault diagnosis are outlined. Meanwhile, the applications of traditional algorithms and artificial intelligence algorithms are introduced. In addition, the existing challenges faced in this field are briefly analyzed, and an outlook on the main research directions for the future is accordingly provided.
{"title":"Research on Condition Assessment and Fault Diagnosis of Power Transformers","authors":"Hanfeng Wang, Qiannan Xue, Shiqi Kang, Peng Zhang, Che Xu, C. Yan","doi":"10.1109/ACFPE56003.2022.9952306","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952306","url":null,"abstract":"Performing condition assessment and fault diagnosis for power transformers is an indispensable part to guarantee the safe and economical operations of the power grid. Condition monitoring is the basis of condition assessment and fault diagnosis, and the accuracy of collected data will ensure the accuracy of assessment and diagnosis from the source. During the construction of smart grids, the historical operating data of power transformers present various characteristics such as large quantity and numerous types, so that the condition assessment and fault diagnosis algorithms gradually transition from the threshold judgment method to the machine learning algorithm. In this paper, the methods of transformer condition monitoring in recent years are summarized, and some common research methods of power transformer condition assessment and fault diagnosis are outlined. Meanwhile, the applications of traditional algorithms and artificial intelligence algorithms are introduced. In addition, the existing challenges faced in this field are briefly analyzed, and an outlook on the main research directions for the future is accordingly provided.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619039","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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