Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082714
Xiaohong Ran, Wee Peng Tay, Christopher H. T. Lee
To achieve safe and reliable operation of a power system, accurate and timely attack detection is required. The proposed detection policy can be applied to small noise attacks or attacks by adversarial signals. To improve the robustness of the DRL policy, a robust Deep Q-Network (DQN) is designed to defend against attack perturbations in the state observations of a power system in this paper. Accordingly, we formulate the attack detection as a change point detection problem in which the detection delay and accuracy are optimized. A robust policy regularizer is included in the DQN to allow a defender to learn a policy that can efficiently detect an attack. A new metric can be modeled to evaluate the robustness of the proposed algorithm. Numerical simulations on the IEEE 14-bus system verify the effectiveness of the proposed robust DQN.
{"title":"A Robust Deep Q-Network Based Attack Detection Approach in Power Systems","authors":"Xiaohong Ran, Wee Peng Tay, Christopher H. T. Lee","doi":"10.1109/SPIES55999.2022.10082714","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082714","url":null,"abstract":"To achieve safe and reliable operation of a power system, accurate and timely attack detection is required. The proposed detection policy can be applied to small noise attacks or attacks by adversarial signals. To improve the robustness of the DRL policy, a robust Deep Q-Network (DQN) is designed to defend against attack perturbations in the state observations of a power system in this paper. Accordingly, we formulate the attack detection as a change point detection problem in which the detection delay and accuracy are optimized. A robust policy regularizer is included in the DQN to allow a defender to learn a policy that can efficiently detect an attack. A new metric can be modeled to evaluate the robustness of the proposed algorithm. Numerical simulations on the IEEE 14-bus system verify the effectiveness of the proposed robust DQN.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122488859","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082455
Wang Jie, W. Li, Wu Jianchao, He Xiong, Chen Yonggang, Li Huiyao
Solid state power controller (SSPC) has been widely used in spacecraft. At present, its power distribution and protection mostly adopt the "SSPC + fuse" mode. In order to prevent the SSPC from acting first when the downstream load is short-circuited, resulting in the power failure of the entire channel, accurate SSPC protection characteristics must be obtained during the matching analysis. Through the analysis of SSPC protection circuit, the calculation model of SSPC protection time and the upper and lower limit curves are obtained, and a matching design method of SSPC and fuse used in series in spacecraft power distribution system is given. The simulation and experimental verification are carried out with a 100V-SSPC used in a satellite as an example, and the correctness and feasibility of the matching design method are proved.
{"title":"Matching Design Method of SSPC and Fuse Used in Series in Spacecraft Power Distribution System","authors":"Wang Jie, W. Li, Wu Jianchao, He Xiong, Chen Yonggang, Li Huiyao","doi":"10.1109/SPIES55999.2022.10082455","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082455","url":null,"abstract":"Solid state power controller (SSPC) has been widely used in spacecraft. At present, its power distribution and protection mostly adopt the \"SSPC + fuse\" mode. In order to prevent the SSPC from acting first when the downstream load is short-circuited, resulting in the power failure of the entire channel, accurate SSPC protection characteristics must be obtained during the matching analysis. Through the analysis of SSPC protection circuit, the calculation model of SSPC protection time and the upper and lower limit curves are obtained, and a matching design method of SSPC and fuse used in series in spacecraft power distribution system is given. The simulation and experimental verification are carried out with a 100V-SSPC used in a satellite as an example, and the correctness and feasibility of the matching design method are proved.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122519751","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082686
Shuozheng Liu, Hao Liu, T. Bi
Fast detection and correct cause identification of grounding faults are important measures to ensure the safe operation of distribution systems. However, the current methods mainly rely on "manual patrol", which reduces the efficiency and reliability of the cause identification. Based on the fault recording data, a data-driven fault detection and cause identification method for distribution network is proposed. Firstly, the field waveforms are analyzed to obtain the fault characteristics of different causes. And the change rate of zero-sequence current is calculated to detect the fault starting time. Secondly, the waveform is decomposed according to different time scales based on ensemble empirical mode decomposition method to extract the local features. And principal component analysis method is used to extract the main feature quantities. In addition, a fault cause classification model based on temporal convolutional network is proposed. The experimental results using field data show that the proposed method has high accuracy.
{"title":"Data-driven Fault Detection and Cause Identification Method for Distribution Systems","authors":"Shuozheng Liu, Hao Liu, T. Bi","doi":"10.1109/SPIES55999.2022.10082686","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082686","url":null,"abstract":"Fast detection and correct cause identification of grounding faults are important measures to ensure the safe operation of distribution systems. However, the current methods mainly rely on \"manual patrol\", which reduces the efficiency and reliability of the cause identification. Based on the fault recording data, a data-driven fault detection and cause identification method for distribution network is proposed. Firstly, the field waveforms are analyzed to obtain the fault characteristics of different causes. And the change rate of zero-sequence current is calculated to detect the fault starting time. Secondly, the waveform is decomposed according to different time scales based on ensemble empirical mode decomposition method to extract the local features. And principal component analysis method is used to extract the main feature quantities. In addition, a fault cause classification model based on temporal convolutional network is proposed. The experimental results using field data show that the proposed method has high accuracy.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122755588","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 the rapid construction of a new power system dominated by renewable energy, the proportion of traditional units such as water and thermal power has decreased, making it difficult to meet the frequency regulation requirements of the power grid, so the system frequency security is facing huge challenges. This paper investigates the application of electrolytic aluminium high-energy load for auxiliary frequency regulation. By analyzing its production process and power supply system loop, its controllable amount is determined. A model of electrolytic aluminum high-energy controllable load is established to observe its power variation characteristics. IEEE 9-bus system model containing aluminum high-energy controllable load was built for simulation to analyze the effect of its auxiliary frequency regulation. The simulation demonstrates that the electrolytic aluminum high-energy controllable load has a relatively good auxiliary frequency regulation ability when the frequency disturbance occurs in the power system.
{"title":"Research on Power Grid Auxiliary Frequency Regulation Technology Based on Electrolytic Aluminum High-Energy Load Regulation","authors":"Yiqian Yin, Xiaoxiang Sun, Tong Li, Ning Mi, Hailiang Zhong, Jianping Yu","doi":"10.1109/SPIES55999.2022.10082515","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082515","url":null,"abstract":"With the rapid construction of a new power system dominated by renewable energy, the proportion of traditional units such as water and thermal power has decreased, making it difficult to meet the frequency regulation requirements of the power grid, so the system frequency security is facing huge challenges. This paper investigates the application of electrolytic aluminium high-energy load for auxiliary frequency regulation. By analyzing its production process and power supply system loop, its controllable amount is determined. A model of electrolytic aluminum high-energy controllable load is established to observe its power variation characteristics. IEEE 9-bus system model containing aluminum high-energy controllable load was built for simulation to analyze the effect of its auxiliary frequency regulation. The simulation demonstrates that the electrolytic aluminum high-energy controllable load has a relatively good auxiliary frequency regulation ability when the frequency disturbance occurs in the power system.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122913292","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082692
Xiaofei Liu, Hui Pang, Yu Geng, Longxing Wu
In this paper, an active equalization scheme is proposed to realize the balance of series connected lithium-ion cells. First, a modified dual-layer inductor active equalization circuit is designed, which connects the first cell and the last cell in the group with a new equalization module, and improves the equalization speed. Then, to upsurge the efficacy of balancing control, state of charge (SOC) is estimated by extended Kalman particle filter (EKPF) algorithm and used as equalization variable. Finally, the simulation results show that the modified dual-layer inductor active equalization circuit can shorten the equalization time by 18% at least, effectively reducing the inconsistency of multi-cell lithium-ion battery pack.
{"title":"Design of an Active Equalization Scheme with a Modified Circuit and SOC Estimation-Based EKPF","authors":"Xiaofei Liu, Hui Pang, Yu Geng, Longxing Wu","doi":"10.1109/SPIES55999.2022.10082692","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082692","url":null,"abstract":"In this paper, an active equalization scheme is proposed to realize the balance of series connected lithium-ion cells. First, a modified dual-layer inductor active equalization circuit is designed, which connects the first cell and the last cell in the group with a new equalization module, and improves the equalization speed. Then, to upsurge the efficacy of balancing control, state of charge (SOC) is estimated by extended Kalman particle filter (EKPF) algorithm and used as equalization variable. Finally, the simulation results show that the modified dual-layer inductor active equalization circuit can shorten the equalization time by 18% at least, effectively reducing the inconsistency of multi-cell lithium-ion battery pack.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521487","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082676
Boliang Liu, Jiawei Xiang, Kai Xia, Yiqing Xu, Jinmin Cheng, Aixia Bao
In this paper, by establishing the Low Voltage Ride Through (LVRT) fault output model of Inverter Interfaced Distributed Generation (IIDG), the voltage information of the power quality detection device (PQMS) is used to establish the fault. Based on the location evaluation function, a new fault location method for an inverter-type DG distribution network is proposed. Firstly, the paper studies the low-voltage ride-through control strategy of inverter DG, establishes the fault characterization model of inverter DG, and analyzes the output characteristics under symmetrical and asymmetrical fault conditions. Then use the distribution network model with inverter type DG to analyze the fault characteristics under different fault conditions. By analyzing the fault component network, the equation of the node voltage with respect to the fault distance and the transition resistance is established, and the precise fault distance is solved by the improved particle swarm optimization algorithm. The method considers the influence of DG output characteristics on fault location of distribution network under fault conditions. Using the voltage information of PQMS, it solves the fault location problem of inverter DG active distribution network under low voltage ride through operation. Finally, an IEEE33 distribution network simulation system with inverter DG is built in DigSilent software to verify the effectiveness and accuracy of the proposed method.
{"title":"Fault Location Method in Active Distribution Network Based on Voltage Information of PQMS","authors":"Boliang Liu, Jiawei Xiang, Kai Xia, Yiqing Xu, Jinmin Cheng, Aixia Bao","doi":"10.1109/SPIES55999.2022.10082676","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082676","url":null,"abstract":"In this paper, by establishing the Low Voltage Ride Through (LVRT) fault output model of Inverter Interfaced Distributed Generation (IIDG), the voltage information of the power quality detection device (PQMS) is used to establish the fault. Based on the location evaluation function, a new fault location method for an inverter-type DG distribution network is proposed. Firstly, the paper studies the low-voltage ride-through control strategy of inverter DG, establishes the fault characterization model of inverter DG, and analyzes the output characteristics under symmetrical and asymmetrical fault conditions. Then use the distribution network model with inverter type DG to analyze the fault characteristics under different fault conditions. By analyzing the fault component network, the equation of the node voltage with respect to the fault distance and the transition resistance is established, and the precise fault distance is solved by the improved particle swarm optimization algorithm. The method considers the influence of DG output characteristics on fault location of distribution network under fault conditions. Using the voltage information of PQMS, it solves the fault location problem of inverter DG active distribution network under low voltage ride through operation. Finally, an IEEE33 distribution network simulation system with inverter DG is built in DigSilent software to verify the effectiveness and accuracy of the proposed method.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"43 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122566889","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082423
Zhi Li, Zhengyi Liu, Yulu Ni, Junbo Feng, Mohan Li
At present, in the event of emergency fault, the power system is still highly dependent on manual analysis and calculation of text procedures and experience knowledge to make decisions, resulting in a large amount of waste of resources, and greatly prolonging the fault time. Therefore, a knowledge extraction system based on weight optimization is proposed in this paper. Firstly, a data preprocessing module is established to vectorize the unstructured data and form a word vector set that can retain the original semantics. Then Bi-LSTM module is used to extract the entity from the word vector set. Secondly, the weight optimization module is used to focus on the key knowledge in the text data to complete the relationship extraction. Then the error correction module trains the relationship between adjacent labels to obtain the global optimization of text labels. The simulation results show that the system can assist the decision making of distribution network fault, and evaluate the working condition of the system in real time according to the output results, which not only saves the decision time, but also greatly reduces the decision error rate.
{"title":"A Knowledge Extraction System Based on Weight Optimization Applied and Evaluated to Distribution Network Fault Assistant Decision","authors":"Zhi Li, Zhengyi Liu, Yulu Ni, Junbo Feng, Mohan Li","doi":"10.1109/SPIES55999.2022.10082423","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082423","url":null,"abstract":"At present, in the event of emergency fault, the power system is still highly dependent on manual analysis and calculation of text procedures and experience knowledge to make decisions, resulting in a large amount of waste of resources, and greatly prolonging the fault time. Therefore, a knowledge extraction system based on weight optimization is proposed in this paper. Firstly, a data preprocessing module is established to vectorize the unstructured data and form a word vector set that can retain the original semantics. Then Bi-LSTM module is used to extract the entity from the word vector set. Secondly, the weight optimization module is used to focus on the key knowledge in the text data to complete the relationship extraction. Then the error correction module trains the relationship between adjacent labels to obtain the global optimization of text labels. The simulation results show that the system can assist the decision making of distribution network fault, and evaluate the working condition of the system in real time according to the output results, which not only saves the decision time, but also greatly reduces the decision error rate.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122173076","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082167
Jianhua Zhang, Lei Zhao, Yongle Chen
The full-bridge (FB) converter with phase-shifted modulation is widely adopted in high output power applications. However, it has some well-known disadvantages, such as narrow zero-voltage switching (ZVS)range, primary circulating current and large output filter. In order to improve the performance of FB converter, a new family of dual asymmetrical half-bridge DC-DC converter is introduced in this paper. These converters can achieve wide ZVS range, reduced circulating current and reduced the size of filter inductor. The operation principle and analysis of one particular converter, taken as an example of the converter family, are explained. Finally, two laboratory prototypes are built to verify the theoretical analysis.
{"title":"A Family of Dual Asymmetrical PWM DC-DC Converter with Wide ZVS Range and Reduced Filter Inductor","authors":"Jianhua Zhang, Lei Zhao, Yongle Chen","doi":"10.1109/SPIES55999.2022.10082167","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082167","url":null,"abstract":"The full-bridge (FB) converter with phase-shifted modulation is widely adopted in high output power applications. However, it has some well-known disadvantages, such as narrow zero-voltage switching (ZVS)range, primary circulating current and large output filter. In order to improve the performance of FB converter, a new family of dual asymmetrical half-bridge DC-DC converter is introduced in this paper. These converters can achieve wide ZVS range, reduced circulating current and reduced the size of filter inductor. The operation principle and analysis of one particular converter, taken as an example of the converter family, are explained. Finally, two laboratory prototypes are built to verify the theoretical analysis.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129883583","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082039
Zhiwei Wang, Xiangyu Lyu, Dexin Li, Shishuai Zhu, Changhong Fu, Bo Wang
Accurate estimation of the synchronous generator inertia can provide a reliable basis for the safe and stable operation of the power system. This paper proposes a generator inertia estimation method based on the extraction of electromechanical oscillation characteristic information. The mathematical analytical relationship between inertia and the dynamic characteristics (eigenvalues and eigenvectors) is constructed based on the swing equation. Therefore, the inertia estimation problem is equivalently transformed into an electromechanical oscillation characteristic extraction problem. The oscillation characteristic is extracted by using Dynamic Mode Decomposition (DMD). The framework for estimating generator inertia based on oscillation characteristic is established. The proposed method is simulated and verified by the IEEE4-machine power system. The results show that the proposed method is with high accuracy.
{"title":"Electromechanical Parameters Estimation of a Synchronous Generator Based on the Oscillation Characteristic Extraction","authors":"Zhiwei Wang, Xiangyu Lyu, Dexin Li, Shishuai Zhu, Changhong Fu, Bo Wang","doi":"10.1109/SPIES55999.2022.10082039","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082039","url":null,"abstract":"Accurate estimation of the synchronous generator inertia can provide a reliable basis for the safe and stable operation of the power system. This paper proposes a generator inertia estimation method based on the extraction of electromechanical oscillation characteristic information. The mathematical analytical relationship between inertia and the dynamic characteristics (eigenvalues and eigenvectors) is constructed based on the swing equation. Therefore, the inertia estimation problem is equivalently transformed into an electromechanical oscillation characteristic extraction problem. The oscillation characteristic is extracted by using Dynamic Mode Decomposition (DMD). The framework for estimating generator inertia based on oscillation characteristic is established. The proposed method is simulated and verified by the IEEE4-machine power system. The results show that the proposed method is with high accuracy.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386158","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082529
Huayang Jin, Wei Zhang, Jiale Wang
A composite control method is proposed in order to carry out the stable and reliable operation of hybrid excitation axial field flux-switching permanent magnet machine(HEAFFSPMM) position sensorless control system in the full-speed range. In the middle- and high-speed ranges, the improved model reference adaptive system with parameter identification can effectively improve the estimation accuracy of the rotor position and the dynamic and steady state performance of the control system. In the zero- and low-speed ranges, the improved pulse high frequency voltage injection combining quasi-proportional resonance and second-order generalized integrator is applied to achieve fast starting and reliable operation of the motor. In addition, the weighted average composite control is used in the transition range to achieve smooth switching between the two speed ranges of HEAFFSPMM. Finally, the experimental verification is completed. The experimental results show that the position sensorless composite control can realize the full-speed operation of the motor, and can effectively improve the control accuracy and performances of the control system.
{"title":"Position Sensorless Composite Control of Hybrid Excitation Axial Field Flux-Switching Permanent Magnet Machine","authors":"Huayang Jin, Wei Zhang, Jiale Wang","doi":"10.1109/SPIES55999.2022.10082529","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082529","url":null,"abstract":"A composite control method is proposed in order to carry out the stable and reliable operation of hybrid excitation axial field flux-switching permanent magnet machine(HEAFFSPMM) position sensorless control system in the full-speed range. In the middle- and high-speed ranges, the improved model reference adaptive system with parameter identification can effectively improve the estimation accuracy of the rotor position and the dynamic and steady state performance of the control system. In the zero- and low-speed ranges, the improved pulse high frequency voltage injection combining quasi-proportional resonance and second-order generalized integrator is applied to achieve fast starting and reliable operation of the motor. In addition, the weighted average composite control is used in the transition range to achieve smooth switching between the two speed ranges of HEAFFSPMM. Finally, the experimental verification is completed. The experimental results show that the position sensorless composite control can realize the full-speed operation of the motor, and can effectively improve the control accuracy and performances of the control system.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129010866","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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