Pub Date : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166894
Xianglian Xu, Yifeng Gu, Jiang Guo, Yuamqing Song
When the traditional droop control is applied in the islanded microgrid system, the uneven distribution of reactive power in the system is caused by the different line characteristics of transmission lines. Based on the analysis of the traditional droop control theory and the reactive power distribution principle, an improved droop control strategy to realize the reactive power distribution is proposed. The line characteristic curves of different transmission lines are adjusted to make them intersect at one point, with a fixed droop characteristic curve. Firstly, a small voltage perturbation is injected into the system to obtain the observed line impedance, and then the reference voltage is compensated. Finally a simulation model is built with the MATLAB/Simulink software. The accuracy of the line impedance observer and the distribution effect of the reactive power in the islanded microgrid are verified with the simulation experiment.
{"title":"Research on Improved Droop Control Strategy of Microgrid in Island Mode","authors":"Xianglian Xu, Yifeng Gu, Jiang Guo, Yuamqing Song","doi":"10.1109/CEEPE58418.2023.10166894","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166894","url":null,"abstract":"When the traditional droop control is applied in the islanded microgrid system, the uneven distribution of reactive power in the system is caused by the different line characteristics of transmission lines. Based on the analysis of the traditional droop control theory and the reactive power distribution principle, an improved droop control strategy to realize the reactive power distribution is proposed. The line characteristic curves of different transmission lines are adjusted to make them intersect at one point, with a fixed droop characteristic curve. Firstly, a small voltage perturbation is injected into the system to obtain the observed line impedance, and then the reference voltage is compensated. Finally a simulation model is built with the MATLAB/Simulink software. The accuracy of the line impedance observer and the distribution effect of the reactive power in the islanded microgrid are verified with the simulation experiment.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121322590","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}
This paper proposes an improved model for tracing carbon emissions in power systems, which to some extent addresses the lack of fairness in traditional methods. The model, based on the AC power flow calculation considering network losses, first identifies key indicators for carbon emission flow calculations, such as nodal carbon intensity. Then, it calculates the carbon flow rates for each branch and node, resulting in the distribution of carbon emission flows in the system.; The improved forward carbon emission flow tracing algorithm and reverse carbon emission flow tracing algorithm are then applied to fairly and reasonably allocate the controversial carbon emission losses of the network to the power sources and loads. The results of the case study tests show that the method improves the accuracy and fairness of the carbon emission allocation in the network, making carbon responsibility traceable.
{"title":"Tracing Carbon Responsibility Based on Carbon Emission Flow Tracking Theory","authors":"Xiaofeng Ren, Yiqing Wang, Hailong Gao, Xuequan Xiao, Yushan Zhou, Hao Zhou","doi":"10.1109/CEEPE58418.2023.10166302","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166302","url":null,"abstract":"This paper proposes an improved model for tracing carbon emissions in power systems, which to some extent addresses the lack of fairness in traditional methods. The model, based on the AC power flow calculation considering network losses, first identifies key indicators for carbon emission flow calculations, such as nodal carbon intensity. Then, it calculates the carbon flow rates for each branch and node, resulting in the distribution of carbon emission flows in the system.; The improved forward carbon emission flow tracing algorithm and reverse carbon emission flow tracing algorithm are then applied to fairly and reasonably allocate the controversial carbon emission losses of the network to the power sources and loads. The results of the case study tests show that the method improves the accuracy and fairness of the carbon emission allocation in the network, making carbon responsibility traceable.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122319783","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166207
Hongyi Wang, Zhe Chen
Accuracy and simplicity issues of the widely-used aggregated model of wind farms focus on minimizing the error during the transient characteristics. In order to reduce the deviation between the detailed and reduced-order model, this paper presents a data-driven system identification method to discover a mathematical structure from the error data that possibly improve the established model. In this work, we devise a library of candidate dynamics tailored to wind farms for regression algorithm. This framework only requires fairly little data and is robust to noise, having good performance for the response to fast system variation. The simulation result illustrates the accuracy of the improved aggregation model of a wind power plant under low voltage ride-through (LVRT) mode.
{"title":"Error Correction for Aggregation Model of Wind Farms Considering LVRT Characteristic","authors":"Hongyi Wang, Zhe Chen","doi":"10.1109/CEEPE58418.2023.10166207","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166207","url":null,"abstract":"Accuracy and simplicity issues of the widely-used aggregated model of wind farms focus on minimizing the error during the transient characteristics. In order to reduce the deviation between the detailed and reduced-order model, this paper presents a data-driven system identification method to discover a mathematical structure from the error data that possibly improve the established model. In this work, we devise a library of candidate dynamics tailored to wind farms for regression algorithm. This framework only requires fairly little data and is robust to noise, having good performance for the response to fast system variation. The simulation result illustrates the accuracy of the improved aggregation model of a wind power plant under low voltage ride-through (LVRT) mode.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"541 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127052204","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166843
Yiyang Song, Tiance Zhang, Lin Wen, Jianxiao Wang, Dan Zeng, Lei Cui
The high proportion of renewable energy integration and the sharp fluctuation of load bring huge backup demand to the power system, which requires the auxiliary service of thermal power units to ensure the safety of the power system. However, the widely used marginal price mechanism is difficult to identify the externalities value of market members and the value of ancillary services provided by generators. To accurately identify the externality value of market members, the Vickey-Clarke-Groves (VCG) mechanism based on incremental costs was introduced. Compared with the marginal price mechanism, the VCG mechanism requires removing the generators sequentially and re-optimizing, which is computationally inefficient. An accelerated algorithm based on optimal base replacement is proposed, which uses the dual simplex method to perform optimal basis replacement based on the initial optimal basis to obtain the optimal solution of the new problem after removing generators. Case studies based on modified IEEE30-bus system demonstrate the significant improvement of the acceleration algorithm on the computational efficiency of the VCG mechanism.
{"title":"Externality Value-Based Pricing Mechanism for Energy and Ancillary Service Markets","authors":"Yiyang Song, Tiance Zhang, Lin Wen, Jianxiao Wang, Dan Zeng, Lei Cui","doi":"10.1109/CEEPE58418.2023.10166843","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166843","url":null,"abstract":"The high proportion of renewable energy integration and the sharp fluctuation of load bring huge backup demand to the power system, which requires the auxiliary service of thermal power units to ensure the safety of the power system. However, the widely used marginal price mechanism is difficult to identify the externalities value of market members and the value of ancillary services provided by generators. To accurately identify the externality value of market members, the Vickey-Clarke-Groves (VCG) mechanism based on incremental costs was introduced. Compared with the marginal price mechanism, the VCG mechanism requires removing the generators sequentially and re-optimizing, which is computationally inefficient. An accelerated algorithm based on optimal base replacement is proposed, which uses the dual simplex method to perform optimal basis replacement based on the initial optimal basis to obtain the optimal solution of the new problem after removing generators. Case studies based on modified IEEE30-bus system demonstrate the significant improvement of the acceleration algorithm on the computational efficiency of the VCG mechanism.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127058868","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10167141
Fuzeng Bao, Rao Liu, Yannan Chang, Yiwen Sun, Haixia Wang, Y. Ba
The operation safety of the power grid during the summer peak period is affected by the accuracy of short-term summer load forecasting directly. Firstly, we point out that temperature is essential to determine the summer load variation through the analysis. Then, we propose a hierarchical model based on temporal convolutional network (TCN) and long short-term memory network (LSTM) to solve the problem of forecast accuracy decline caused by the non-linearity between temperature and load. The model emphasizes the influence of temperature on load variation structurally and reflects the nonlinear correspondence between temperature and load accurately. By actual data analysis, the accumulated days of temperature and the input sequence length of the model are determined. The example shows that the established hierarchical model has higher forecast accuracy than the conventional single-layer neural network model.
{"title":"Summer Short-Term Electric Load Forecasting Based on Hierarchical Model","authors":"Fuzeng Bao, Rao Liu, Yannan Chang, Yiwen Sun, Haixia Wang, Y. Ba","doi":"10.1109/CEEPE58418.2023.10167141","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167141","url":null,"abstract":"The operation safety of the power grid during the summer peak period is affected by the accuracy of short-term summer load forecasting directly. Firstly, we point out that temperature is essential to determine the summer load variation through the analysis. Then, we propose a hierarchical model based on temporal convolutional network (TCN) and long short-term memory network (LSTM) to solve the problem of forecast accuracy decline caused by the non-linearity between temperature and load. The model emphasizes the influence of temperature on load variation structurally and reflects the nonlinear correspondence between temperature and load accurately. By actual data analysis, the accumulated days of temperature and the input sequence length of the model are determined. The example shows that the established hierarchical model has higher forecast accuracy than the conventional single-layer neural network model.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126703191","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}
In this paper, the influencing factors of planning reserve capacity under the background of constructing the new type power system are analyzed in depth. Considering the influence of the confidence rate and different error coefficients of the renewable energy prediction, two correction methods of load reserve capacity were proposed. At the same time, the influence of UHV DC project production on the hot accident reserve was considered in this paper. The changes of the planned reserve capacity of the power system for large-scale renewable energy access and DC project commissioning are studied. Taking a regional power grid as an example, the recommended value of reserve capacity of regional power grid and provincial power grid at different levels in different years was calculated under the condition of high proportion of renewable energy access. The research conclusions make important significance on accurate analysis of power system balance and reasonable guidance of future power supply planning and layout.
{"title":"Analysis of the Influence of Constructing New Type Power System on Planning Reserve Capacity","authors":"F. Luo, Xiongguang Zhao, Zhenyu Lin, Fei Li, Xia Yang, Xian Zhang","doi":"10.1109/CEEPE58418.2023.10166506","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166506","url":null,"abstract":"In this paper, the influencing factors of planning reserve capacity under the background of constructing the new type power system are analyzed in depth. Considering the influence of the confidence rate and different error coefficients of the renewable energy prediction, two correction methods of load reserve capacity were proposed. At the same time, the influence of UHV DC project production on the hot accident reserve was considered in this paper. The changes of the planned reserve capacity of the power system for large-scale renewable energy access and DC project commissioning are studied. Taking a regional power grid as an example, the recommended value of reserve capacity of regional power grid and provincial power grid at different levels in different years was calculated under the condition of high proportion of renewable energy access. The research conclusions make important significance on accurate analysis of power system balance and reasonable guidance of future power supply planning and layout.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129023702","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}
When flexible resources such as smart switches are connected to the low-voltage distribution network, the distribution network has better observability and controllability. Meanwhile, the distribution network with a high proportion of new energy faces the challenge of high dispatch costs and difficulty of renewable energy accommodation. In order to improve the economy and reliability of distribution network operation. This paper proposes a bi-level optimal scheduling model for active distribution networks considering dynamic reconfiguration. The upper layer of the model is the distribution network reconfiguration model. The optimization objectives are the minimum total operating cost and the optimal power supply quality, which is a multi-objective optimization, the decision variable is the grid structure for each reconstruction cycle. The lower layer of the model is the economic scheduling model, the optimization goal is to minimize the total operating cost, and the decision variable is the output of each flexible resource. And the improved artificial fish swarm algorithm is used to solve the proposed model. Finally, an IEEE33 node power distribution system is used for the case study. From the simulation results, the bi-level optimization model can significantly improve the operation economy and reliability of the distribution network.
{"title":"Bi-Level Optimal Dispatch Method of Active Distribution Network Based on Improved Artificial Fish Swarm Algorithm","authors":"Ding Li, Yi Luo, Shengcun Zhou, Xuancheng Yi, Yiwang Xiong, Yaning Wu","doi":"10.1109/CEEPE58418.2023.10166727","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166727","url":null,"abstract":"When flexible resources such as smart switches are connected to the low-voltage distribution network, the distribution network has better observability and controllability. Meanwhile, the distribution network with a high proportion of new energy faces the challenge of high dispatch costs and difficulty of renewable energy accommodation. In order to improve the economy and reliability of distribution network operation. This paper proposes a bi-level optimal scheduling model for active distribution networks considering dynamic reconfiguration. The upper layer of the model is the distribution network reconfiguration model. The optimization objectives are the minimum total operating cost and the optimal power supply quality, which is a multi-objective optimization, the decision variable is the grid structure for each reconstruction cycle. The lower layer of the model is the economic scheduling model, the optimization goal is to minimize the total operating cost, and the decision variable is the output of each flexible resource. And the improved artificial fish swarm algorithm is used to solve the proposed model. Finally, an IEEE33 node power distribution system is used for the case study. From the simulation results, the bi-level optimization model can significantly improve the operation economy and reliability of the distribution network.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132608924","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10165697
Runsheng Guo, Wei Niu, Liang Li, Zhixiao Zhang, Zhangyong Yao
The existing flexible arc suppression methods actively control the neutral voltage with power supply equipment, which consists of power electronic devices and non-power electronic devices. For power electronic device, the inverter with high capacity is applied to supply a reversal phase voltage to compensate the fault voltage. Otherwise, the non-power electronic devices have longer reaction time and lower precision. Herein a hybrid flexible arc suppression method combining power electronic devices and non-power electronic devices is proposed. The operating characteristics of the hybrid flexible arc suppression system under multiple operating conditions is simulated in MATLAB/Simulink. The proposed method is verified in a 10kV grid reality test field. The result shows that the method can sufficiently reduce the voltage at the fault point to less than 300V, avoiding the reignition of the arc. The method can also greatly decrease the capacity of the active inverter from usual 50kVA to 10kV A. Moreover, both speed and accuracy of the arc suppression are improved.
{"title":"A Hybrid Flexible Arc Suppression Method for Single-Phase Ground Fault of Distribution Network","authors":"Runsheng Guo, Wei Niu, Liang Li, Zhixiao Zhang, Zhangyong Yao","doi":"10.1109/CEEPE58418.2023.10165697","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165697","url":null,"abstract":"The existing flexible arc suppression methods actively control the neutral voltage with power supply equipment, which consists of power electronic devices and non-power electronic devices. For power electronic device, the inverter with high capacity is applied to supply a reversal phase voltage to compensate the fault voltage. Otherwise, the non-power electronic devices have longer reaction time and lower precision. Herein a hybrid flexible arc suppression method combining power electronic devices and non-power electronic devices is proposed. The operating characteristics of the hybrid flexible arc suppression system under multiple operating conditions is simulated in MATLAB/Simulink. The proposed method is verified in a 10kV grid reality test field. The result shows that the method can sufficiently reduce the voltage at the fault point to less than 300V, avoiding the reignition of the arc. The method can also greatly decrease the capacity of the active inverter from usual 50kVA to 10kV A. Moreover, both speed and accuracy of the arc suppression are improved.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133784206","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166762
Xueying Dai, Yuan Yuan, R. Liao, Wenjun Ci
Transmission safety and capacity of overhead transmission lines are important for the electric power system. Icing seriously threatens the security of power delivery, reflected in the line galloping and line-tower collapsing. Here, novel anti-icing aluminum (AI) conductors with different diameters were successfully prepared by anodization techniques. The superhydrophobicity and glaze icing behavior of all specimens were verified. Furthermore, the transmission capacity of prepared Al conductors was evaluated by up- current experiments. Line loss of all Al conductors was calculated and determined by mathematical formulations. Results show that anodized Al conductors exhibit good anti-icing properties and increased transmission capacity, attributed to the superhydrophobicity and heat dissipation of the nanopores micro-structure. The good anti-icing properties and large transmission capacity make the anodized overhead transmission line the potential low-cost candidate to improve transmission safety and capacity.
{"title":"Preparation and Experimental Studies of Novel Anti-icing Aluminum Conductors to Enhance the Transmission Capacity","authors":"Xueying Dai, Yuan Yuan, R. Liao, Wenjun Ci","doi":"10.1109/CEEPE58418.2023.10166762","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166762","url":null,"abstract":"Transmission safety and capacity of overhead transmission lines are important for the electric power system. Icing seriously threatens the security of power delivery, reflected in the line galloping and line-tower collapsing. Here, novel anti-icing aluminum (AI) conductors with different diameters were successfully prepared by anodization techniques. The superhydrophobicity and glaze icing behavior of all specimens were verified. Furthermore, the transmission capacity of prepared Al conductors was evaluated by up- current experiments. Line loss of all Al conductors was calculated and determined by mathematical formulations. Results show that anodized Al conductors exhibit good anti-icing properties and increased transmission capacity, attributed to the superhydrophobicity and heat dissipation of the nanopores micro-structure. The good anti-icing properties and large transmission capacity make the anodized overhead transmission line the potential low-cost candidate to improve transmission safety and capacity.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130445065","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166975
Q. Feng, Yuan Deng, Naiyuan Fan, Yulong Huang
The motor operating mechanism helps to meet the requirement of intelligent operation of high-voltage circuit breakers. However, the current motor operation mechanism needs motors with low inertia and large torque to meet the opening and closing speed requirements, which limits the development of motor driving circuit breakers to high voltage level. In order to reduce the torque demand of the motor operating mechanism, this paper studied the feasibility of applying 252kV double-motion arc extinguishing chambers to the motor mechanism, and the relative displacement between two contacts and the torque curve during the opening and closing operation are calculated. The results show that the motor operating mechanism with double-motion mechanism can meet the speed requirements of the 252 kV circuit breaker. Compared with the single-motion mechanism, the demand for the maximum motor torque can be reduced by nearly 25%. The research shows that double-motion mechanisms help to reduce the torque requirements, which provides the possibility to apply the current motor driving circuit breakers to higher voltage levels.
{"title":"Simulation of the Motor Operating Mechanism Using Double-motion Technology","authors":"Q. Feng, Yuan Deng, Naiyuan Fan, Yulong Huang","doi":"10.1109/CEEPE58418.2023.10166975","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166975","url":null,"abstract":"The motor operating mechanism helps to meet the requirement of intelligent operation of high-voltage circuit breakers. However, the current motor operation mechanism needs motors with low inertia and large torque to meet the opening and closing speed requirements, which limits the development of motor driving circuit breakers to high voltage level. In order to reduce the torque demand of the motor operating mechanism, this paper studied the feasibility of applying 252kV double-motion arc extinguishing chambers to the motor mechanism, and the relative displacement between two contacts and the torque curve during the opening and closing operation are calculated. The results show that the motor operating mechanism with double-motion mechanism can meet the speed requirements of the 252 kV circuit breaker. Compared with the single-motion mechanism, the demand for the maximum motor torque can be reduced by nearly 25%. The research shows that double-motion mechanisms help to reduce the torque requirements, which provides the possibility to apply the current motor driving circuit breakers to higher voltage levels.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130804362","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}