Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082293
Jingda Gu, Baotong Song, Ning Su, Xiaohui Bai, W. Li, Rui Zhao, Zixun Pan, Jiaben Dou, Yilan Ma, Jianfeng Chi, Zhiming Jiang, Xiaofeng Yang
Energy storage system (ESS) can solve the problems of nodal voltage fluctuation and increase power loss in distribution network caused by high penetration of renewable energy. This paper takes the nodal voltage fluctuation and comprehensive multi-cost of ESS as the composite optimization objective, and combines multiple constraints to establish an energy storage configuration optimization model of the wind-solar-energy storage hybrid distribution network. Based on the optimization model, an improved multi-objective particle swarm optimizer (IMOPSO) is introduced to solve the problem. IMOPSO avoids the particle swarm from falling into the local optimal solution while considering the convergence speed and accuracy. Finally, through analysis of the IEEE-33 node distribution network system, the rationality of the proposed ESS configuration optimization model and the IMOPSO are verified, which can effectively reduce the nodal voltage fluctuation and power loss of the distribution network, and improve the system economy at the same time.
{"title":"Multi-objective Optimal Configuration Scheme of Energy Storage in Wind-Photovoltaic-Energy Storage Hybrid Distribution Network System","authors":"Jingda Gu, Baotong Song, Ning Su, Xiaohui Bai, W. Li, Rui Zhao, Zixun Pan, Jiaben Dou, Yilan Ma, Jianfeng Chi, Zhiming Jiang, Xiaofeng Yang","doi":"10.1109/SPIES55999.2022.10082293","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082293","url":null,"abstract":"Energy storage system (ESS) can solve the problems of nodal voltage fluctuation and increase power loss in distribution network caused by high penetration of renewable energy. This paper takes the nodal voltage fluctuation and comprehensive multi-cost of ESS as the composite optimization objective, and combines multiple constraints to establish an energy storage configuration optimization model of the wind-solar-energy storage hybrid distribution network. Based on the optimization model, an improved multi-objective particle swarm optimizer (IMOPSO) is introduced to solve the problem. IMOPSO avoids the particle swarm from falling into the local optimal solution while considering the convergence speed and accuracy. Finally, through analysis of the IEEE-33 node distribution network system, the rationality of the proposed ESS configuration optimization model and the IMOPSO are verified, which can effectively reduce the nodal voltage fluctuation and power loss of the distribution network, and improve the system economy at the same time.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"92 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":"123821195","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/SPIES55999.2022.10082397
Wang Liangyuan, Lin Shuyuan, Lin Xiaomin, Wang Linyan
Transitioning from medium-long-term trade to spot trade will be the only choice for China. First, the paper briefly Summarizes the coordination experience between the medium-long-term market and the spot market in the relatively mature foreign power market, then considers the user-side time-of-use meter installation planning factors, and divides the users into time-of-use transactions and non-time-of-use transactions. Transition path from medium-long-term trade to spot trade can be divided into three steps. The paper briefly analyzes transaction mechanism elements such as trade varieties, clearing mechanism, settlement relationship, security check, and dispatch operation during each stage.
{"title":"Research on Coordination between Medium-Long-Term Electricity Trade and Spot Market Trade","authors":"Wang Liangyuan, Lin Shuyuan, Lin Xiaomin, Wang Linyan","doi":"10.1109/SPIES55999.2022.10082397","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082397","url":null,"abstract":"Transitioning from medium-long-term trade to spot trade will be the only choice for China. First, the paper briefly Summarizes the coordination experience between the medium-long-term market and the spot market in the relatively mature foreign power market, then considers the user-side time-of-use meter installation planning factors, and divides the users into time-of-use transactions and non-time-of-use transactions. Transition path from medium-long-term trade to spot trade can be divided into three steps. The paper briefly analyzes transaction mechanism elements such as trade varieties, clearing mechanism, settlement relationship, security check, and dispatch operation during each stage.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"11 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":"123629596","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/SPIES55999.2022.10082391
Xusheng Guo, Suhua Lou, A. Anvari‐Moghaddam
The high voltage direct current (HVDC) system has become an important means for pooling widely distributed wind power. In this paper, the flexibility retrofits of thermal power units that directly support local voltage source converter (VSC) stations are considered to enhance the grid integration of wind power and the operating economics of the HVDC system. The flexibility retrofit measures for thermal power include the application of high-power plasma ignition burners and the single-mill operation. The designed multi-terminal HVDC network is weakly connected with the sending-end high voltage alternating current (HVAC) grid. A hierarchical scheduling structure is presented to decompose the scheduling problem of the hybrid AC/DC system into three interactive levels, which can be solved by utilizing the analytical target cascading (ATC) method. Simulation studies indicate that the flexible operation of thermal power has been greatly improved so that the wind power supporting VSC stations can be better accommodated.
{"title":"Hierarchical Dispatch of Multi-terminal HVDC Transmission System Considering Flexibility Retrofits of Sending-end Thermal Power Units","authors":"Xusheng Guo, Suhua Lou, A. Anvari‐Moghaddam","doi":"10.1109/SPIES55999.2022.10082391","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082391","url":null,"abstract":"The high voltage direct current (HVDC) system has become an important means for pooling widely distributed wind power. In this paper, the flexibility retrofits of thermal power units that directly support local voltage source converter (VSC) stations are considered to enhance the grid integration of wind power and the operating economics of the HVDC system. The flexibility retrofit measures for thermal power include the application of high-power plasma ignition burners and the single-mill operation. The designed multi-terminal HVDC network is weakly connected with the sending-end high voltage alternating current (HVAC) grid. A hierarchical scheduling structure is presented to decompose the scheduling problem of the hybrid AC/DC system into three interactive levels, which can be solved by utilizing the analytical target cascading (ATC) method. Simulation studies indicate that the flexible operation of thermal power has been greatly improved so that the wind power supporting VSC stations can be better accommodated.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"29 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":"114086684","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/SPIES55999.2022.10082150
Hengning Yu, L. Yao, F. Cheng, Hui Liu, Kairang Wang, Xiangjun Li, Jian Xu, B. Mao
The use of energy storage is an effective way to improve the predication accuracy of fluctuant renewable energy generation and increase the controllability and dispatchability of the power system with high share of renewable energies (REs). In order to improve the prediction accuracy of renewable energies, a multi-application scenario coordinated control strategy for battery energy storage system (BESS) is proposed. Firstly, according to response requirements of BESS under different application scenarios, the power control strategies of BESS under peak load shifting scenario and prediction error compensation scenario are proposed respectively. Then, considering the priority of different application scenarios, the multi-application scenario operating area division method for BESS is proposed. Finally, a real-time secondary power regulation method of BESS is proposed based on the state of charge (SOC), and the multi-application scenario coordinated control strategy for BESS is proposed accordingly. The simulation case studies validate that the proposed strategy can effectively improve the BESS utilization rate, RE consumption ability, and prediction accuracy under various application scenarios.
{"title":"A Coordinated Control Strategy for BESS Considering Multi-application Scenarios in Wind Power-Energy Storage Station","authors":"Hengning Yu, L. Yao, F. Cheng, Hui Liu, Kairang Wang, Xiangjun Li, Jian Xu, B. Mao","doi":"10.1109/SPIES55999.2022.10082150","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082150","url":null,"abstract":"The use of energy storage is an effective way to improve the predication accuracy of fluctuant renewable energy generation and increase the controllability and dispatchability of the power system with high share of renewable energies (REs). In order to improve the prediction accuracy of renewable energies, a multi-application scenario coordinated control strategy for battery energy storage system (BESS) is proposed. Firstly, according to response requirements of BESS under different application scenarios, the power control strategies of BESS under peak load shifting scenario and prediction error compensation scenario are proposed respectively. Then, considering the priority of different application scenarios, the multi-application scenario operating area division method for BESS is proposed. Finally, a real-time secondary power regulation method of BESS is proposed based on the state of charge (SOC), and the multi-application scenario coordinated control strategy for BESS is proposed accordingly. The simulation case studies validate that the proposed strategy can effectively improve the BESS utilization rate, RE consumption ability, and prediction accuracy under various application scenarios.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"17 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":"114338516","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/SPIES55999.2022.10082449
Jing Zeng, Runmin Zou, Fulin Liu
Lithium-ion battery is the most commonly used energy storage tool at present. In the process of using, the aged batteries reduce the battery endurance and cause an explosion. Therefore, it is necessary to estimate the state-of-health (SOH) and achieve battery equalization. This paper proposes a method for SOH estimations and balancing strategy based on balancing voltages and balancing current expectations. The real-time voltage differences are employed to get the balancing current expectations. In addition, the RMS of current can reach the current expectation by controlling the phase angle of hardware circuit, to realize the rapid convergence of battery voltage. With the ratio of cell-to-cell balancing current expectation, the SOH estimations of all cells within a series-connected battery pack can be obtained. Results show the SOH estimations relative error can be well controlled within 2%, and it takes less estimated time.
{"title":"A Fusion Method of Series-Connected Batteries State-of-Health Estimation and Balancing Strategy Applied to Multi-Cell-to-Multi-Cell Equalizer","authors":"Jing Zeng, Runmin Zou, Fulin Liu","doi":"10.1109/SPIES55999.2022.10082449","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082449","url":null,"abstract":"Lithium-ion battery is the most commonly used energy storage tool at present. In the process of using, the aged batteries reduce the battery endurance and cause an explosion. Therefore, it is necessary to estimate the state-of-health (SOH) and achieve battery equalization. This paper proposes a method for SOH estimations and balancing strategy based on balancing voltages and balancing current expectations. The real-time voltage differences are employed to get the balancing current expectations. In addition, the RMS of current can reach the current expectation by controlling the phase angle of hardware circuit, to realize the rapid convergence of battery voltage. With the ratio of cell-to-cell balancing current expectation, the SOH estimations of all cells within a series-connected battery pack can be obtained. Results show the SOH estimations relative error can be well controlled within 2%, and it takes less estimated time.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"25 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":"121626554","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/SPIES55999.2022.10082542
Sili Gu, Ji Qiao, Zixuan Zhao, Qiongfeng Zhu, Fujia Han
The power transient stability analysis is one of the basis for determining the control strategy of power system security and stability. Considering the influence of power grid topology on the transient stability of power system, the transient stability evaluation model is constructed based on the graph attention neural network. The electrical components and their transient operation data are mapped to the graph data with the spatial topology characteristics of power system for model training, so as to improve the topological generalization performance of the model. The marginal contribution of input characteristics to the output of transient power angle stability evaluation model is quantitatively calculated based on Shapley additive explanation (SHAP), so as to improve the interpretability of data-driven method for transient power angle stability evaluation. The effectiveness of the proposed method is verified by the IEEE 39-bus system.
{"title":"Power System Transient Stability Assessment Based on Graph Neural Network with Interpretable Attribution Analysis","authors":"Sili Gu, Ji Qiao, Zixuan Zhao, Qiongfeng Zhu, Fujia Han","doi":"10.1109/SPIES55999.2022.10082542","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082542","url":null,"abstract":"The power transient stability analysis is one of the basis for determining the control strategy of power system security and stability. Considering the influence of power grid topology on the transient stability of power system, the transient stability evaluation model is constructed based on the graph attention neural network. The electrical components and their transient operation data are mapped to the graph data with the spatial topology characteristics of power system for model training, so as to improve the topological generalization performance of the model. The marginal contribution of input characteristics to the output of transient power angle stability evaluation model is quantitatively calculated based on Shapley additive explanation (SHAP), so as to improve the interpretability of data-driven method for transient power angle stability evaluation. The effectiveness of the proposed method is verified by the IEEE 39-bus system.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"40 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":"114856839","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/SPIES55999.2022.10082237
Yang-hua Gao, Zheng Fan, Qiang Li, Lu Gao, Jiapei Zhou
According to the real-time simulation requirements of permanent magnet synchronous wind turbine grid connection, a real-time simulation method of circuit electromagnetic transient based on ARM + FPGA platform is proposed, the judgment method of switching element state is introduced, and the corresponding real-time simulator is developed. The basic architecture of real-time simulator based on ARM + FPGA is given, and the pipe line method is introduced into the matrix multiplication operation of FPGA. The simulation of permanent magnet synchronous wind turbine grid connection model is carried out based on this platform, the voltage and current waveforms in steady state and fault state are verified. The results show that the simulation effect of the real-time simulator is highly consistent with the results of the offline simulation software.
{"title":"FPGA Implementation of Real-Time Simulation Model of Wind Turbine Connected to Grid","authors":"Yang-hua Gao, Zheng Fan, Qiang Li, Lu Gao, Jiapei Zhou","doi":"10.1109/SPIES55999.2022.10082237","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082237","url":null,"abstract":"According to the real-time simulation requirements of permanent magnet synchronous wind turbine grid connection, a real-time simulation method of circuit electromagnetic transient based on ARM + FPGA platform is proposed, the judgment method of switching element state is introduced, and the corresponding real-time simulator is developed. The basic architecture of real-time simulator based on ARM + FPGA is given, and the pipe line method is introduced into the matrix multiplication operation of FPGA. The simulation of permanent magnet synchronous wind turbine grid connection model is carried out based on this platform, the voltage and current waveforms in steady state and fault state are verified. The results show that the simulation effect of the real-time simulator is highly consistent with the results of the offline simulation software.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"53 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":"124490498","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/SPIES55999.2022.10082117
Yang Yuhui, Zhang Qiang, Dong Zhenye, Xia Tianhao, Gu Ao, Lin Zhiyong
Totem pole bridgeless PFC operates in Mixed Conduction Mode (MCM) based on one cycle control (OCC) is proposed with digital controller, which will reduce boost inductor size, keep low input current total harmonic distortion (THD) in wide load range. The transition principles between CCM and DCM is analyzed in detail, and a virtual resistor is introduced for control stability. Simulation results verify the control strategy and input current THD is 1.73% at rated condition.
{"title":"Wide Load Range Totem Pole Bridgeless PFC in Mixed Conduction Mode Based on One Cycle Control","authors":"Yang Yuhui, Zhang Qiang, Dong Zhenye, Xia Tianhao, Gu Ao, Lin Zhiyong","doi":"10.1109/SPIES55999.2022.10082117","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082117","url":null,"abstract":"Totem pole bridgeless PFC operates in Mixed Conduction Mode (MCM) based on one cycle control (OCC) is proposed with digital controller, which will reduce boost inductor size, keep low input current total harmonic distortion (THD) in wide load range. The transition principles between CCM and DCM is analyzed in detail, and a virtual resistor is introduced for control stability. Simulation results verify the control strategy and input current THD is 1.73% at rated condition.","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":"127781676","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/SPIES55999.2022.10082222
Dong Lu, N. Cui, Changlong Li
Accurate state of health (SOH) estimation is essential for ensuring the stable and safe operation of lithium-ion batteries. However, the adaptability of the estimation method for batteries with different formulations remains challenging. In this paper, partial charging segments are collected and processed. A pre-training convolutional neural network (CNN), which combines attention mechanisms for heightening the estimation performance, is proposed for integrating the inputs and extracting the hidden features automatically. Experiments are performed to show that the proposed method could reduce the estimation error by 80.9%, 41.3% and 25.6% for LCO, LFP and NCA respectively. Moreover, to reduce the computation burden between different kinds of batteries, a transfer learning (TL) strategy is utilized by fine-tuning the dense layers. The transfer learning results show that the estimation root mean square error (RMSE) of LFP and NCA are only 1.3% and 2.6%, respectively.
{"title":"A Multi-Attention Mechanisms Based Transfer Learning Framework for State of Health Estimation of Lithium-ion Battery","authors":"Dong Lu, N. Cui, Changlong Li","doi":"10.1109/SPIES55999.2022.10082222","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082222","url":null,"abstract":"Accurate state of health (SOH) estimation is essential for ensuring the stable and safe operation of lithium-ion batteries. However, the adaptability of the estimation method for batteries with different formulations remains challenging. In this paper, partial charging segments are collected and processed. A pre-training convolutional neural network (CNN), which combines attention mechanisms for heightening the estimation performance, is proposed for integrating the inputs and extracting the hidden features automatically. Experiments are performed to show that the proposed method could reduce the estimation error by 80.9%, 41.3% and 25.6% for LCO, LFP and NCA respectively. Moreover, to reduce the computation burden between different kinds of batteries, a transfer learning (TL) strategy is utilized by fine-tuning the dense layers. The transfer learning results show that the estimation root mean square error (RMSE) of LFP and NCA are only 1.3% and 2.6%, respectively.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"35 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":"126398867","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/SPIES55999.2022.10082319
Yugang Li, Xiaojian Luan, Chuanxiao Wang
For the PI control in the permanent magnet synchronous motor vector control system, it is difficult to meet the requirements of high-performance control, and it is sensitive to external disturbances. It has been suggested that Sliding Mode Control (SMC) be used in the speed loop rather than PI control. This would eliminate the overshoot of the speed, make the speed fluctuation small when the load is suddenly applied, and allow the speed to be quickly restored to stability, all of which would improve the system’s ability to withstand shocks. Because the conventional vector control system for permanent magnet synchronous motors needs to execute three coordinate changes, an improved proportional resonance (PR) controller is utilized in the current loop. This particular controller does not include compensation items related to motor parameters. the complex nature of the computation. The findings of a Matlab/Simulink simulation indicate that combining the aforementioned control strategies in a PMSM vector control system is a workable possibility.
{"title":"PMSM Vector Control Based on Sliding Mode and Improved PR Controller","authors":"Yugang Li, Xiaojian Luan, Chuanxiao Wang","doi":"10.1109/SPIES55999.2022.10082319","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082319","url":null,"abstract":"For the PI control in the permanent magnet synchronous motor vector control system, it is difficult to meet the requirements of high-performance control, and it is sensitive to external disturbances. It has been suggested that Sliding Mode Control (SMC) be used in the speed loop rather than PI control. This would eliminate the overshoot of the speed, make the speed fluctuation small when the load is suddenly applied, and allow the speed to be quickly restored to stability, all of which would improve the system’s ability to withstand shocks. Because the conventional vector control system for permanent magnet synchronous motors needs to execute three coordinate changes, an improved proportional resonance (PR) controller is utilized in the current loop. This particular controller does not include compensation items related to motor parameters. the complex nature of the computation. The findings of a Matlab/Simulink simulation indicate that combining the aforementioned control strategies in a PMSM vector control system is a workable possibility.","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":"126505345","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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