Pub Date : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952254
Yu Gu, Fandi Wang, Mukun Li, Lu Zhang, Wenlong Gong
In view of the problems that most load forecasting methods are difficult to achieve high-precision data processing in the process of power grid digitization, a digital power grid load forecasting method based on digital twin and improved GRU is proposed. Firstly, the digital power grid model is constructed based on the digital twin technology, and the operation mode of the digital twin power grid is introduced in detail. Then, the time convolution network (TCN) and the gated recurrent unit (GRU) network are fused to design the GRU-TCN prediction model. The high-dimensional data features extracted by TCN are input into the GRU network for learning to enhance the model prediction performance. Finally, the GRU-TCN model is applied to the load forecasting of digital twin power grid, and the high-precision forecasting results are obtained. The experimental results based on the simulation platform show that the proposed method prediction results root mean square error is 28.428KW, and mean absolute percentage error values is 2.161%, which prediction effect is good.
{"title":"A Digital Load Forecasting Method Based on Digital Twin and Improved GRU","authors":"Yu Gu, Fandi Wang, Mukun Li, Lu Zhang, Wenlong Gong","doi":"10.1109/ACFPE56003.2022.9952254","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952254","url":null,"abstract":"In view of the problems that most load forecasting methods are difficult to achieve high-precision data processing in the process of power grid digitization, a digital power grid load forecasting method based on digital twin and improved GRU is proposed. Firstly, the digital power grid model is constructed based on the digital twin technology, and the operation mode of the digital twin power grid is introduced in detail. Then, the time convolution network (TCN) and the gated recurrent unit (GRU) network are fused to design the GRU-TCN prediction model. The high-dimensional data features extracted by TCN are input into the GRU network for learning to enhance the model prediction performance. Finally, the GRU-TCN model is applied to the load forecasting of digital twin power grid, and the high-precision forecasting results are obtained. The experimental results based on the simulation platform show that the proposed method prediction results root mean square error is 28.428KW, and mean absolute percentage error values is 2.161%, which prediction effect is good.","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":"124057257","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/ACFPE56003.2022.9952220
Lin Guanqiang, L. Jinyong, Xu Quan, Wang Xiaoguang, Y. Lei, Li Fukui, Lin Jingnan
Aiming at the increasing data transmission and computation-intensive analysis and decision-making in the construction of the distribution Internet of Things, an Internet of Things system in the distribution station area based on the distributed SDN architecture is constructed. Including distributed control module, data exchange module and adaptive access of IoT devices, different types of IoT devices can be associated with heterogeneous access points, and exchange information with switches by coordinating multiple controllers. In this paper, the controller transforms the mobile device management and access point assignment problem into a joint optimization problem and solves it using adaptive time windows as a tool. Finally, a deep reinforcement learning traffic scheduling algorithm is used to optimize the capacity of the access point and reduce the delay of data transmission. The simulation results show that the method can find the best access point within the tolerable delay time, realize the interconnection technology of the IoT gateway in the distribution station area, and ensure the stable operation of the business in the distribution station area.
{"title":"A Method for IoT Device Management and Traffic Scheduling in Distribution Station Area Based on Distributed SDN Architecture","authors":"Lin Guanqiang, L. Jinyong, Xu Quan, Wang Xiaoguang, Y. Lei, Li Fukui, Lin Jingnan","doi":"10.1109/ACFPE56003.2022.9952220","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952220","url":null,"abstract":"Aiming at the increasing data transmission and computation-intensive analysis and decision-making in the construction of the distribution Internet of Things, an Internet of Things system in the distribution station area based on the distributed SDN architecture is constructed. Including distributed control module, data exchange module and adaptive access of IoT devices, different types of IoT devices can be associated with heterogeneous access points, and exchange information with switches by coordinating multiple controllers. In this paper, the controller transforms the mobile device management and access point assignment problem into a joint optimization problem and solves it using adaptive time windows as a tool. Finally, a deep reinforcement learning traffic scheduling algorithm is used to optimize the capacity of the access point and reduce the delay of data transmission. The simulation results show that the method can find the best access point within the tolerable delay time, realize the interconnection technology of the IoT gateway in the distribution station area, and ensure the stable operation of the business in the distribution station area.","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":"128867702","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/ACFPE56003.2022.9952295
Jun Wei, Shengyong Ye, Xuna Liu, Ting Li, Xinting Yang, Liyang Liu, Chuan Long, Yifan Pan
With the massive access to distributed power supply, the power grid is facing great pressure. Distributed energy storage becomes an effective method to solve this problem. With the deepening of the electric power system reform, the existing energy storage value evaluation system and scene application have been limited. Based on the reliability value, this paper further considers the influence of distributed energy storage on power grid planning and analyzes the role of distributed energy storage in delaying the expansion plan of the transmission network and alleviating congestion. Based on the reliability value, transmission and distribution value, and energy value, a comprehensive value evaluation system of distributed energy storage is constructed, and a distributed energy storage planning model based on comprehensive value is proposed.
{"title":"Distributed energy storage planning method considering the comprehensive value of energy storage","authors":"Jun Wei, Shengyong Ye, Xuna Liu, Ting Li, Xinting Yang, Liyang Liu, Chuan Long, Yifan Pan","doi":"10.1109/ACFPE56003.2022.9952295","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952295","url":null,"abstract":"With the massive access to distributed power supply, the power grid is facing great pressure. Distributed energy storage becomes an effective method to solve this problem. With the deepening of the electric power system reform, the existing energy storage value evaluation system and scene application have been limited. Based on the reliability value, this paper further considers the influence of distributed energy storage on power grid planning and analyzes the role of distributed energy storage in delaying the expansion plan of the transmission network and alleviating congestion. Based on the reliability value, transmission and distribution value, and energy value, a comprehensive value evaluation system of distributed energy storage is constructed, and a distributed energy storage planning model based on comprehensive value is proposed.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"16 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":"122520806","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}
Aiming at the difficult problem to accurately separate the wind speed - power abnormal data of wind turbine from the normal data before the process of wind power curve fitting, this paper proposes an abnormal data cleaning method considering multi-scene parameter adaptation. Firstly, the data is preprocessed based on the time series characteristics and correlation relationship of wind speed and power data to reduce the density of abnormal data, and then the data is cleaned by DBSCAN (Density-Based Spatial Clustering of Applications with Noise), in which the parameters are optimized by the improved particle swarm optimization (PSO) algorithm according to different wind farms and type of wind turbines. The method makes the decrease of the evaluation values by 56.94% and 58.65% respectively with different abnormal data distribution characteristics compared with change point- quartile method, thus making better cleaning effect on the wind speed- power data.
针对风电机组风速功率异常数据在风电功率曲线拟合前难以准确从正常数据中分离出来的问题，提出了一种考虑多场景参数自适应的异常数据清洗方法。首先根据风速和功率数据的时间序列特征和相关关系对数据进行预处理，降低异常数据密度，然后采用DBSCAN (density - based Spatial Clustering of Applications with Noise)对数据进行清洗，其中根据不同风电场和风力机类型，采用改进的粒子群算法(PSO)对参数进行优化。与变点-四分位数法相比，该方法对不同异常数据分布特征的评价值分别降低了56.94%和58.65%，对风速-功率数据具有较好的清洗效果。
{"title":"Wind Turbine Abnormal Data Cleaning Method Considering Multi-Scene Parameter Adaptation","authors":"Yu Wang, Yangfan Zhang, Hui Liu, Linlin Wu, Weixin Yang, Kai-Fu Liang","doi":"10.1109/ACFPE56003.2022.9952182","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952182","url":null,"abstract":"Aiming at the difficult problem to accurately separate the wind speed - power abnormal data of wind turbine from the normal data before the process of wind power curve fitting, this paper proposes an abnormal data cleaning method considering multi-scene parameter adaptation. Firstly, the data is preprocessed based on the time series characteristics and correlation relationship of wind speed and power data to reduce the density of abnormal data, and then the data is cleaned by DBSCAN (Density-Based Spatial Clustering of Applications with Noise), in which the parameters are optimized by the improved particle swarm optimization (PSO) algorithm according to different wind farms and type of wind turbines. The method makes the decrease of the evaluation values by 56.94% and 58.65% respectively with different abnormal data distribution characteristics compared with change point- quartile method, thus making better cleaning effect on the wind speed- power data.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"60 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":"116157577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The new round of reform of power systems in China brings out the implementation opinions on establishing relatively independent power trading institutions and standardized operations. To ensure the stability of the market operation during the transition stage of the low-carbon power system, supervision methods for market adjustment models and adjustment mechanisms are of vital importance. To handle the uncertainties and fluctuations of renew ables, the construction of ancillary service markets has drawn special attention. However, the supervision methods for ancillary service markets in China are lacking. As one of the earliest countries in the world to carry out the reform of the electricity market, the supervision system of the US electricity market is relatively mature, which can provide enlightenment to the establishment of China's supervision system. With this in mind, the current supervision system of the US electricity market is reviewed from the perspectives of power regulators and supervision content and measures in this paper. The evolution of the regulatory structure of the US electricity market is reviewed and supervision measures of various types of ancillary services markets are introduced and analyzed. Then, based on the construction status of ancillary service markets in various provinces in China, the supervision suggestions for ancillary service markets are proposed.
{"title":"A Review of Supervision Measures in the US Ancillary Service Markets and Suggestions for China","authors":"Pengyu Di, Yue Zhao, Guobing Wu, Sijie Liu, Qiuna Cai, Xinyu Meng, Pengcheng Zha, Yuguo Chen","doi":"10.1109/ACFPE56003.2022.9952217","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952217","url":null,"abstract":"The new round of reform of power systems in China brings out the implementation opinions on establishing relatively independent power trading institutions and standardized operations. To ensure the stability of the market operation during the transition stage of the low-carbon power system, supervision methods for market adjustment models and adjustment mechanisms are of vital importance. To handle the uncertainties and fluctuations of renew ables, the construction of ancillary service markets has drawn special attention. However, the supervision methods for ancillary service markets in China are lacking. As one of the earliest countries in the world to carry out the reform of the electricity market, the supervision system of the US electricity market is relatively mature, which can provide enlightenment to the establishment of China's supervision system. With this in mind, the current supervision system of the US electricity market is reviewed from the perspectives of power regulators and supervision content and measures in this paper. The evolution of the regulatory structure of the US electricity market is reviewed and supervision measures of various types of ancillary services markets are introduced and analyzed. Then, based on the construction status of ancillary service markets in various provinces in China, the supervision suggestions for ancillary service markets are proposed.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"2019 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":"127258361","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 recent years, power system blackouts caused by extreme weather have occurred more frequently. Based on the analysis of the characteristics of large scale failures of the distribution network in extreme weather, a fault recovery strategy considering repair sequence is proposed to improve the power supply capacity of the distribution network. A two-layer distribution network reconfiguration model considering both reliability and costs is established. Considering both the reliability and the economy, the loss load and the cost of distributed generation are minimized at the upper layer and the lower layer, respectively. Firstly, the statues of tie switches are adjusted after the network failure to construct the new radial network and obtain the topology based on the graph theory. Then the dynamic programming method is utilized to determine the optimal topology and the fault repair sequence. Taking the improved PG&E 69 node system as an example, the effectiveness and practicability of the proposed method for fault recovery under extreme disasters are verified.
{"title":"Fault Recovery Strategy for Active Distribution Network Considering Repair Sequence Under Extreme Weather","authors":"Wei He, Xiaolei Liu, Qi Wang, Lunjian Mu, Zhenyuan Qin, X. Lei","doi":"10.1109/ACFPE56003.2022.9952327","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952327","url":null,"abstract":"In recent years, power system blackouts caused by extreme weather have occurred more frequently. Based on the analysis of the characteristics of large scale failures of the distribution network in extreme weather, a fault recovery strategy considering repair sequence is proposed to improve the power supply capacity of the distribution network. A two-layer distribution network reconfiguration model considering both reliability and costs is established. Considering both the reliability and the economy, the loss load and the cost of distributed generation are minimized at the upper layer and the lower layer, respectively. Firstly, the statues of tie switches are adjusted after the network failure to construct the new radial network and obtain the topology based on the graph theory. Then the dynamic programming method is utilized to determine the optimal topology and the fault repair sequence. Taking the improved PG&E 69 node system as an example, the effectiveness and practicability of the proposed method for fault recovery under extreme disasters are verified.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"4 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":"134438077","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/ACFPE56003.2022.9952207
Hong Cao, Z. Wang
The performance of HVDC transmission line protection is closely related to the operation of power system. The currently single-ended protections, configured as primary protection in HVDC projects, have inadequate sensitivity with high resistance faults. To overcome these shortcomings, a novel protection scheme using single-ended line current from already existing measurement unit in HVDC projects is proposed in this paper. With current fluctuation extracted, floating threshold current criterion is proposed to distinguish internal and remote external faults. Based on variable current, fault direction and faulty line can be reliably identified. RTDS simulation results verify that the proposed protection scheme can act sensitively and quickly. The action time is not more than 1.2ms and 3.2ms when faults with $0Omega$ and $800 Omega$ resistance respectively occur in the range of the whole line. Compared with other single-ended protections, the proposed method has advantages of detecting the high resistance fault, small operation time.
{"title":"A Novel Whole-line Fast Protection Scheme Based on Single-end Line Current for HVDC Transmission Lines","authors":"Hong Cao, Z. Wang","doi":"10.1109/ACFPE56003.2022.9952207","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952207","url":null,"abstract":"The performance of HVDC transmission line protection is closely related to the operation of power system. The currently single-ended protections, configured as primary protection in HVDC projects, have inadequate sensitivity with high resistance faults. To overcome these shortcomings, a novel protection scheme using single-ended line current from already existing measurement unit in HVDC projects is proposed in this paper. With current fluctuation extracted, floating threshold current criterion is proposed to distinguish internal and remote external faults. Based on variable current, fault direction and faulty line can be reliably identified. RTDS simulation results verify that the proposed protection scheme can act sensitively and quickly. The action time is not more than 1.2ms and 3.2ms when faults with $0Omega$ and $800 Omega$ resistance respectively occur in the range of the whole line. Compared with other single-ended protections, the proposed method has advantages of detecting the high resistance fault, small operation time.","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":"131132103","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/ACFPE56003.2022.9952349
Qian Weijie, Zhang Zhongfeng, Li Jiapeng, Wang Jianhua, Huang Binhui
With the massive connection of photovoltaic power plant to the electrified wire netting, the influence of peak residual power brought by the generation peak on the electrified wire netting is more and more obvious, and it will endanger the safety of the electrified wire netting and equipment in serious cases. Therefore, it is necessary to flexibly limit the power of photovoltaic power generation for purpose of reduce the influence on the electrified wire netting during peak power generation. In this paper, a combined control policy based on maximum power tracking and power loop is proposed to achieve flexible limit of photovoltaic power plant. In this paper, the realization principle of photovoltaic power limiting policy is described in detail, and then a single-phase two-stage photovoltaic grid-connected system is built on PLECS simulation platform to simulate and verify the power limiting control policy, and the analysis results prove the availability of the policy.
{"title":"Research on power limiting strategy of PV Power generation based on MPPT and power loop","authors":"Qian Weijie, Zhang Zhongfeng, Li Jiapeng, Wang Jianhua, Huang Binhui","doi":"10.1109/ACFPE56003.2022.9952349","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952349","url":null,"abstract":"With the massive connection of photovoltaic power plant to the electrified wire netting, the influence of peak residual power brought by the generation peak on the electrified wire netting is more and more obvious, and it will endanger the safety of the electrified wire netting and equipment in serious cases. Therefore, it is necessary to flexibly limit the power of photovoltaic power generation for purpose of reduce the influence on the electrified wire netting during peak power generation. In this paper, a combined control policy based on maximum power tracking and power loop is proposed to achieve flexible limit of photovoltaic power plant. In this paper, the realization principle of photovoltaic power limiting policy is described in detail, and then a single-phase two-stage photovoltaic grid-connected system is built on PLECS simulation platform to simulate and verify the power limiting control policy, and the analysis results prove the availability of the policy.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"7 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":"131000445","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/ACFPE56003.2022.9952334
Zhu Feng, Rongquan Fan, Chen Ren, Dong Bin, Li Tao, W. Liang, Keliang Liu
This paper mainly studies the bearing performance of the cone-column foundation and the optimal inclination angle of anti-frost heave in the peat seasonal frozen soil area of the Zoige Plateau,combining numerical simulation, laboratory tests and theoretical calculations. The conclusions are as follows: (1)The isotherm level at the same depth.the isotherm value increases with the increase of depth.and finally tends to be stable.and the base temperature of the same soil depth is higher than the surrounding soil temperature. (2)At different foundation inclinations of $8^{circ}, 9^{circ},10^{circ},11^{circ}$ and $12{}^{circ}$, the frost heaving resistance of the cone column foundation increases with the increase of the angle of the foundation inclined plane, and it is proposed that the optimal angle of the cone column foundation frost heaving resistance is $10^{circ}$ under this geological condition.
{"title":"Simulation Study On Frost Heave Resistance Characteristics Of transmission Line Tower Foundation In Peat Season Permafrost Region","authors":"Zhu Feng, Rongquan Fan, Chen Ren, Dong Bin, Li Tao, W. Liang, Keliang Liu","doi":"10.1109/ACFPE56003.2022.9952334","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952334","url":null,"abstract":"This paper mainly studies the bearing performance of the cone-column foundation and the optimal inclination angle of anti-frost heave in the peat seasonal frozen soil area of the Zoige Plateau,combining numerical simulation, laboratory tests and theoretical calculations. The conclusions are as follows: (1)The isotherm level at the same depth.the isotherm value increases with the increase of depth.and finally tends to be stable.and the base temperature of the same soil depth is higher than the surrounding soil temperature. (2)At different foundation inclinations of $8^{circ}, 9^{circ},10^{circ},11^{circ}$ and $12{}^{circ}$, the frost heaving resistance of the cone column foundation increases with the increase of the angle of the foundation inclined plane, and it is proposed that the optimal angle of the cone column foundation frost heaving resistance is $10^{circ}$ under this geological condition.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"27 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":"123565865","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/ACFPE56003.2022.9952338
Shicong Wang, Chun-juan Jia, Jun Fu, Chunqiao Jin
In practical application, the voltage and current loop of virtual synchronous generator (VSG) usually adopt PI controller in rotating coordinate system, so its parameters play a significant part on the system stability. Therefore, we leveraged the $boldsymbol{dq}$ impedance modeling method and established the model of VSG, which factors in the effect of the voltage and current loop. Then, according to the established model, the influence of parameters on the $boldsymbol{dq}$ impedance of VSG and the system stability are analyzed. The theoretical analysis shows that the decrease of the proportional coefficient and the increase of the integral coefficient of the voltage controller, and the decrease of the proportional coefficient of the current controller reduces the system stability; the integral coefficient of the current controller has little effect on the system stability. Finally, the 10kW VSG simulation model is built to verify the theoretical analysis.
{"title":"DQ impedance modeling and stability analysis of virtual synchronous generator considering voltage current loop","authors":"Shicong Wang, Chun-juan Jia, Jun Fu, Chunqiao Jin","doi":"10.1109/ACFPE56003.2022.9952338","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952338","url":null,"abstract":"In practical application, the voltage and current loop of virtual synchronous generator (VSG) usually adopt PI controller in rotating coordinate system, so its parameters play a significant part on the system stability. Therefore, we leveraged the $boldsymbol{dq}$ impedance modeling method and established the model of VSG, which factors in the effect of the voltage and current loop. Then, according to the established model, the influence of parameters on the $boldsymbol{dq}$ impedance of VSG and the system stability are analyzed. The theoretical analysis shows that the decrease of the proportional coefficient and the increase of the integral coefficient of the voltage controller, and the decrease of the proportional coefficient of the current controller reduces the system stability; the integral coefficient of the current controller has little effect on the system stability. Finally, the 10kW VSG simulation model is built to verify the theoretical analysis.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"33 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":"125062856","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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