Pub Date : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952331
A. I.
In general, the power system reserves some reserve capacity to balance the deviation of load forecast or wind power. If this reserve capacity is not properly prepared, the power system may be in a dangerous state. In this paper, a day-ahead generation schedule of wind-thermal-storage system considering prediction error of wind power and load is proposed to ensure the security of this reserve capacity, as well as, which effectively coordinates the economy and safety of the day-ahead generation schedule. The actual value is regarded as the sum of the predicted value and its deviation for wind power and load in the proposed method. Among them, the predicted deviation is balanced and tracked by the automatic generation control (AGC) unit, and its output active power and reserved reserve capacity are modeled. What's more, the AGC has sufficient adjustable upper and lower limits to balance the electric power by applying constraints, and has the ability to track the fluctuation of the prediction deviation. Furthermore, since the prediction deviation is a random number, the model with random parameters is transformed into a deterministic model through a robust peer-to-peer model to verify the effect in the extreme scenario, as well as, a distributed energy storage device is introduced to promote wind power consumption and optimize the system operation economy. Finally, in an IEEE 30 node system, the background of high proportion of wind power connected to the power system is set, and the security and economy of reserve capacity under the extreme scenario are analyzed through the method proposed in this paper.
{"title":"Day-Ahead Generation Schedule of Wind-Thermal-Storage System Considering Prediction Error","authors":"A. I.","doi":"10.1109/ACFPE56003.2022.9952331","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952331","url":null,"abstract":"In general, the power system reserves some reserve capacity to balance the deviation of load forecast or wind power. If this reserve capacity is not properly prepared, the power system may be in a dangerous state. In this paper, a day-ahead generation schedule of wind-thermal-storage system considering prediction error of wind power and load is proposed to ensure the security of this reserve capacity, as well as, which effectively coordinates the economy and safety of the day-ahead generation schedule. The actual value is regarded as the sum of the predicted value and its deviation for wind power and load in the proposed method. Among them, the predicted deviation is balanced and tracked by the automatic generation control (AGC) unit, and its output active power and reserved reserve capacity are modeled. What's more, the AGC has sufficient adjustable upper and lower limits to balance the electric power by applying constraints, and has the ability to track the fluctuation of the prediction deviation. Furthermore, since the prediction deviation is a random number, the model with random parameters is transformed into a deterministic model through a robust peer-to-peer model to verify the effect in the extreme scenario, as well as, a distributed energy storage device is introduced to promote wind power consumption and optimize the system operation economy. Finally, in an IEEE 30 node system, the background of high proportion of wind power connected to the power system is set, and the security and economy of reserve capacity under the extreme scenario are analyzed through the method proposed in this paper.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"11 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":"123612645","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/ACFPE56003.2022.9952232
Z. Cai, Kun Yang, Y. Gu, Sirong Pan, Sashuang Sun, Hanzheng Xie, Peilin Li
With the continuous technical economy improvement of electric energy storage, it has become a trend to integrate a large number of DESSs (Distributed Energy Storage Systems) in the distribution network. In order to make full use of the battery energy storage system to delay the upgrading and reconstruction of the distribution network, a comprehensive optimization method of selecting the site and capacity to participate in the peak load regulation of distribution network is proposed. In the proposed method, a bilevel planning model is built where the upper layer model is the capacity configuration model, which considers the investment income of DESSs and delaying the expansion and upgrade of the distribution network; whereas the lower layer model is the installation spot optimization model, which considers the characteristics and capacity limit of DESSs, and the load regulation for peak-load shifting. The validity of the proposed method is verified by the IEEE 33-bus system. Simulative results show that, the proposed comprehensive optimization method is suitable for different application scenarios with the integration of DESSs of different capacity configurations and different installation spots and can provide a technical support for the planning and managing of largescale DESSs accessing to the distribution network.
{"title":"Optimal Siting and Sizing for Distributed Energy Storage System in Active Distribution Networks for Peak Load Management","authors":"Z. Cai, Kun Yang, Y. Gu, Sirong Pan, Sashuang Sun, Hanzheng Xie, Peilin Li","doi":"10.1109/ACFPE56003.2022.9952232","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952232","url":null,"abstract":"With the continuous technical economy improvement of electric energy storage, it has become a trend to integrate a large number of DESSs (Distributed Energy Storage Systems) in the distribution network. In order to make full use of the battery energy storage system to delay the upgrading and reconstruction of the distribution network, a comprehensive optimization method of selecting the site and capacity to participate in the peak load regulation of distribution network is proposed. In the proposed method, a bilevel planning model is built where the upper layer model is the capacity configuration model, which considers the investment income of DESSs and delaying the expansion and upgrade of the distribution network; whereas the lower layer model is the installation spot optimization model, which considers the characteristics and capacity limit of DESSs, and the load regulation for peak-load shifting. The validity of the proposed method is verified by the IEEE 33-bus system. Simulative results show that, the proposed comprehensive optimization method is suitable for different application scenarios with the integration of DESSs of different capacity configurations and different installation spots and can provide a technical support for the planning and managing of largescale DESSs accessing to the distribution network.","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":"125755639","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 very promising power electronic equipment, the solid-state transformer (SST) provides favorable interfaces for distributed generation, energy storage, and various types of power loads. The research on the SST's structural topology is of significance. In this paper, a three-stage SST based on the modular multilevel converter (MMC) technology is established, and the related topology design and mathematical modeling method are presented with an elaboration of the control strategy. Finally, a simulation model of the designed SST is constructed in Simulink, and the SST connecting with 10 kV and 380 V power grids is done. From the simulation results, it is concluded that the SST can satisfactorily complete the predictive functions, thus verifying the feasibility of the proposed SST topology.
{"title":"Topology Design and Performance Analysis of a MMC Based Solid-State Transformer","authors":"Baorong Zhou, Shiyang Li, Jianing Li, Lei Chen, Xuefeng Qiao, Hongkun Chen","doi":"10.1109/ACFPE56003.2022.9952179","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952179","url":null,"abstract":"As a very promising power electronic equipment, the solid-state transformer (SST) provides favorable interfaces for distributed generation, energy storage, and various types of power loads. The research on the SST's structural topology is of significance. In this paper, a three-stage SST based on the modular multilevel converter (MMC) technology is established, and the related topology design and mathematical modeling method are presented with an elaboration of the control strategy. Finally, a simulation model of the designed SST is constructed in Simulink, and the SST connecting with 10 kV and 380 V power grids is done. From the simulation results, it is concluded that the SST can satisfactorily complete the predictive functions, thus verifying the feasibility of the proposed SST topology.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"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":"128266516","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/ACFPE56003.2022.9952237
Qiang Wang, Daoqiang Li, Wei Wang, Kai Yuan, Xuepan Tang, Tianran Li
Carbon emission trading mechanism is considered as one of the most effective tools to control carbon emissions. In this paper, the initial auction proportion of carbon emission trading (CET) market is designed, and the uniform-price auction and the discriminatory-price auction are considered, and a multi-agent simulation model of the interaction between CET market and electricity market is constructed. The simulation results show that with the increase of the auction proportion in the primary CET market, the electricity price in the electricity market keeps rising, and the discriminatory-price auction is more suitable for China's national conditions. The discriminatory-price auction can stimulate the enthusiasm of power generation firms to participate in carbon trading, and enable the government to obtain higher revenue. At the same time, the discriminatory-price auction has a more violent emission reduction effect.
{"title":"Impact of different auction mechanisms in the carbon emission auction market on the electricity market","authors":"Qiang Wang, Daoqiang Li, Wei Wang, Kai Yuan, Xuepan Tang, Tianran Li","doi":"10.1109/ACFPE56003.2022.9952237","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952237","url":null,"abstract":"Carbon emission trading mechanism is considered as one of the most effective tools to control carbon emissions. In this paper, the initial auction proportion of carbon emission trading (CET) market is designed, and the uniform-price auction and the discriminatory-price auction are considered, and a multi-agent simulation model of the interaction between CET market and electricity market is constructed. The simulation results show that with the increase of the auction proportion in the primary CET market, the electricity price in the electricity market keeps rising, and the discriminatory-price auction is more suitable for China's national conditions. The discriminatory-price auction can stimulate the enthusiasm of power generation firms to participate in carbon trading, and enable the government to obtain higher revenue. At the same time, the discriminatory-price auction has a more violent emission reduction effect.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"51 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":"127275458","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/ACFPE56003.2022.9952309
Zhenyi Wang, Bin Hu, Xuegang Lu, Ziyu Zhang, Changbin Ju, Xiaosheng Zhang, Tao Ding
As a key power system primal frequency regulation (PFR) resource, the PFR performance evaluation of thermal power units has a significant meaning. However, most PFR performance evaluation depends on the unit performance test which leads to a result different from the actual operation performance. In this paper, a PFR performance evaluation based on frequency regulation data segment identification in daily operation is proposed. Firstly, the ramping data segments from daily operating data are selected by the improved swinging door algorithm. Secondly, PFR data segments are identified by three rules. Thirdly, three evaluation indicators including the response time, the adjustment coefficient, and the stable time of the units are calculated and a comprehensive index is formulated to evaluate the PFR performance of thermal power units by the entropy-osculating value method. Finally, the effectiveness of the proposed method is verified by a practical case.
{"title":"Primary frequency regulation performance evaluation of thermal power units based on frequency regulation data segment identification using improved swinging door algorithm","authors":"Zhenyi Wang, Bin Hu, Xuegang Lu, Ziyu Zhang, Changbin Ju, Xiaosheng Zhang, Tao Ding","doi":"10.1109/ACFPE56003.2022.9952309","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952309","url":null,"abstract":"As a key power system primal frequency regulation (PFR) resource, the PFR performance evaluation of thermal power units has a significant meaning. However, most PFR performance evaluation depends on the unit performance test which leads to a result different from the actual operation performance. In this paper, a PFR performance evaluation based on frequency regulation data segment identification in daily operation is proposed. Firstly, the ramping data segments from daily operating data are selected by the improved swinging door algorithm. Secondly, PFR data segments are identified by three rules. Thirdly, three evaluation indicators including the response time, the adjustment coefficient, and the stable time of the units are calculated and a comprehensive index is formulated to evaluate the PFR performance of thermal power units by the entropy-osculating value method. Finally, the effectiveness of the proposed method is verified by a practical case.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"162 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":"122434264","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/ACFPE56003.2022.9952292
Heng Zhao, Yuyan Yang, Song Qing, T. Zhang, Jie Peng, Yongchen Jiang, Jichun Liu
Energy saving, emission reduction, and dual control of energy consumption will be the focus of energy industries in the future. Green electricity and carbon market mechanism will help China achieve the “dual carbon.” Under the existing green electricity trading mechanism, the carbon reduction benefits of wind power are quantified and converted into an environmental premium. Considering the environmental premium and carbon cost, a low carbon economic scheduling model with wind power system is established. MATLAB and CPLEX are used to solve the problem, and the influence of different carbon prices on dispatching costs is analyzed. The results show that the above model can effectively take the impact of carbon quota and environmental premium of renewable energy on the power generation cost into consideration. It can balance the economy of electricity production of the system with the responsibility of low-carbon emission.
{"title":"Low Carbon Economic Scheduling of Wind Power System Including Environmental Premium and Carbon Cost","authors":"Heng Zhao, Yuyan Yang, Song Qing, T. Zhang, Jie Peng, Yongchen Jiang, Jichun Liu","doi":"10.1109/ACFPE56003.2022.9952292","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952292","url":null,"abstract":"Energy saving, emission reduction, and dual control of energy consumption will be the focus of energy industries in the future. Green electricity and carbon market mechanism will help China achieve the “dual carbon.” Under the existing green electricity trading mechanism, the carbon reduction benefits of wind power are quantified and converted into an environmental premium. Considering the environmental premium and carbon cost, a low carbon economic scheduling model with wind power system is established. MATLAB and CPLEX are used to solve the problem, and the influence of different carbon prices on dispatching costs is analyzed. The results show that the above model can effectively take the impact of carbon quota and environmental premium of renewable energy on the power generation cost into consideration. It can balance the economy of electricity production of the system with the responsibility of low-carbon emission.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"61 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":"122444083","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/ACFPE56003.2022.9952264
Hong Yin, Shourui Liu, Xuan Liu, Yuan Zhang, Chunbo Li
Due to the large amount of uncertain energy, the new power system makes the power grid status data more nonlinear and non-stationary, which poses a great challenge to the fault location of protection devices. In this paper, empirical mode decomposition algorithm and deep network model are combined to realize accurate fault location analysis and judgment for complex power system. The introduction of permutation entropy function can realize the processing of set empirical mode decomposition algorithm and optimize the sensitive components that can best represent the characteristics of fault signals. The state data of power system has obvious time characteristics. Using long-term and short-term memory network for fault location analysis can effectively extract the effective information in the fault characteristic data and achieve accurate and efficient fault location analysis. The results prove that the PE-CEEMDAN-LSTM method can obviously realize the accurate fault analysis of complex power system, which the maximum error distance is only 15 m.
{"title":"Fault location method based on deep learning in new power system","authors":"Hong Yin, Shourui Liu, Xuan Liu, Yuan Zhang, Chunbo Li","doi":"10.1109/ACFPE56003.2022.9952264","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952264","url":null,"abstract":"Due to the large amount of uncertain energy, the new power system makes the power grid status data more nonlinear and non-stationary, which poses a great challenge to the fault location of protection devices. In this paper, empirical mode decomposition algorithm and deep network model are combined to realize accurate fault location analysis and judgment for complex power system. The introduction of permutation entropy function can realize the processing of set empirical mode decomposition algorithm and optimize the sensitive components that can best represent the characteristics of fault signals. The state data of power system has obvious time characteristics. Using long-term and short-term memory network for fault location analysis can effectively extract the effective information in the fault characteristic data and achieve accurate and efficient fault location analysis. The results prove that the PE-CEEMDAN-LSTM method can obviously realize the accurate fault analysis of complex power system, which the maximum error distance is only 15 m.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"213 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":"116516828","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/ACFPE56003.2022.9952303
Xiao Zhang, Xinyan Fang
With the development of new energy, switching from AC to DC has become a development trend of the power system. The urban distribution network has high requirements on power quality, and the use of flexible DC technology is the best choice at present. Different from traditional motors, the flexible DC system has low inertia and small damping. When the fault occurs on DC line, the current rising rate is extremely fast, which seriously threatens the safe operation of the urban distribution network. It is necessary to design high-reliability and fast protection according to its fault characteristics. This paper proposes a pilot protection method based on transient high-frequency impedance by analyzing the variation characteristics of transient electrical quantities after a DC line fault. And regional protection can also be formed through the cooperation of adjacent lines. Finally, a simulation was built to verify the accuracy of the principle.
{"title":"Transient High-Frequency Impedance Pilot Protection for Urban Flexible DC Distribution Network","authors":"Xiao Zhang, Xinyan Fang","doi":"10.1109/ACFPE56003.2022.9952303","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952303","url":null,"abstract":"With the development of new energy, switching from AC to DC has become a development trend of the power system. The urban distribution network has high requirements on power quality, and the use of flexible DC technology is the best choice at present. Different from traditional motors, the flexible DC system has low inertia and small damping. When the fault occurs on DC line, the current rising rate is extremely fast, which seriously threatens the safe operation of the urban distribution network. It is necessary to design high-reliability and fast protection according to its fault characteristics. This paper proposes a pilot protection method based on transient high-frequency impedance by analyzing the variation characteristics of transient electrical quantities after a DC line fault. And regional protection can also be formed through the cooperation of adjacent lines. Finally, a simulation was built to verify the accuracy of the principle.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"1 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":"125847236","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/ACFPE56003.2022.9952299
Bin Che, Zelong Zhang, Dongni Wei, Panlong Jin, Yan Yang
With the increase of wind and solar power plants, the uncertainty of their output also brings challenges to the power system. These factors should also be considered in long-term planning of the power system. Therefore, a source-grid-load-storage power system coordinated expansion planning model that considers demand response services is proposed in this paper. In this way, the ability to absorb large-scale renewable energy such as light and wind in the power system is improved. First, the power system operation model is proposed in this paper; secondly, the demand response services and electricity storage facility are modeled in detail; then demand response and electricity storage facility resources are used to alleviate the intermittent output of wind and solar power plants on the power side. A load-side demand response service planning model is proposed, and a source-network-load coordination planning model is proposed. Finally, the rationality of the model is verified through the analysis of simulation examples, and the advantages of the coordinated planning of source-grid-load-storage power system are proved. In addition, it can effectively guarantee the safety of power system operation and improve the absorption capacity of wind and light energy.
{"title":"Coordinated planning of source-grid-load-storage power system to promote large-scale renewable energy consumption","authors":"Bin Che, Zelong Zhang, Dongni Wei, Panlong Jin, Yan Yang","doi":"10.1109/ACFPE56003.2022.9952299","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952299","url":null,"abstract":"With the increase of wind and solar power plants, the uncertainty of their output also brings challenges to the power system. These factors should also be considered in long-term planning of the power system. Therefore, a source-grid-load-storage power system coordinated expansion planning model that considers demand response services is proposed in this paper. In this way, the ability to absorb large-scale renewable energy such as light and wind in the power system is improved. First, the power system operation model is proposed in this paper; secondly, the demand response services and electricity storage facility are modeled in detail; then demand response and electricity storage facility resources are used to alleviate the intermittent output of wind and solar power plants on the power side. A load-side demand response service planning model is proposed, and a source-network-load coordination planning model is proposed. Finally, the rationality of the model is verified through the analysis of simulation examples, and the advantages of the coordinated planning of source-grid-load-storage power system are proved. In addition, it can effectively guarantee the safety of power system operation and improve the absorption capacity of wind and light energy.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"104 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":"127997062","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/ACFPE56003.2022.9952277
Xinwen Zhang, Canlong Wang, F. Gao, Dunwen Song, Xukai Zhu
Dual active full bridge (DAB) converter produces large return power under traditional phase shift modulation, and its dynamic characteristics are poor. For purpose of solv the above problems, this paper proposes a return power optimization method combining the output voltage model prediction of DAB converter based on EPS modulation and the Lagrange multiplier method. Through in-depth analysis of the mechanism of return power generation, the mathematics model of power of DAB converter is built. The model prediction equation of output voltage of DAB converter is obtained by state space averaging method, and the return power is suppressed by Lagrange multiplier method. Finally, the circuit model is built to verify the analysis conclusion, and these results are compared with those of the traditional SPS modulation and EPS modulation. The results demonstrate that this method can significantly inhibit the return power of the DAB converter, and can effectively improve its output properties.
{"title":"Return power optimization strategy of DAB converter based on model predictive control","authors":"Xinwen Zhang, Canlong Wang, F. Gao, Dunwen Song, Xukai Zhu","doi":"10.1109/ACFPE56003.2022.9952277","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952277","url":null,"abstract":"Dual active full bridge (DAB) converter produces large return power under traditional phase shift modulation, and its dynamic characteristics are poor. For purpose of solv the above problems, this paper proposes a return power optimization method combining the output voltage model prediction of DAB converter based on EPS modulation and the Lagrange multiplier method. Through in-depth analysis of the mechanism of return power generation, the mathematics model of power of DAB converter is built. The model prediction equation of output voltage of DAB converter is obtained by state space averaging method, and the return power is suppressed by Lagrange multiplier method. Finally, the circuit model is built to verify the analysis conclusion, and these results are compared with those of the traditional SPS modulation and EPS modulation. The results demonstrate that this method can significantly inhibit the return power of the DAB converter, and can effectively improve its output properties.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"10 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":"133717647","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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