This paper proposes a method to identify the equipment anomalies based on convolution neural network, aiming at the weak-light situation inside the cable tunnel. This paper has proposed a method to identify the equipment anomalies with weak light situation inside the cable tunnel, based on the convolution neural network. On the basis of the gray image, this method adds the Sobel operator to enhance edge-preprocessing effect and start training through Convolution Neural Network (CNN). The convergence criteria is the Loss Function related with the Weight Parameter W and Bias Parameter b. The convergence method is the one named Backpropagation, which updates the parameters each time to reduce the loss. The fast operating speed of full connection layer can help getting the direct classification result of equipment status in the image. Based on the experimental analysis of the internal images of the Zhuhai tunnel, it can be seen that this method is suitable for the dark and chaotic environment of the tunnel. Additionally, it has a high recognition rate for the image segmentation of the lighting equipment and a high accuracy for the classification of the abnormal situation of the image.
{"title":"An improved Convolutional Neural Network used in abnormality identification of Indicating Lighting in Cable Tunnels","authors":"Xingyu Pei, Shuntao Huang, Jiangjing Cui, Wei Qiu, D. Liu, Anbo Meng","doi":"10.1109/POWERCON.2018.8602272","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602272","url":null,"abstract":"This paper proposes a method to identify the equipment anomalies based on convolution neural network, aiming at the weak-light situation inside the cable tunnel. This paper has proposed a method to identify the equipment anomalies with weak light situation inside the cable tunnel, based on the convolution neural network. On the basis of the gray image, this method adds the Sobel operator to enhance edge-preprocessing effect and start training through Convolution Neural Network (CNN). The convergence criteria is the Loss Function related with the Weight Parameter W and Bias Parameter b. The convergence method is the one named Backpropagation, which updates the parameters each time to reduce the loss. The fast operating speed of full connection layer can help getting the direct classification result of equipment status in the image. Based on the experimental analysis of the internal images of the Zhuhai tunnel, it can be seen that this method is suitable for the dark and chaotic environment of the tunnel. Additionally, it has a high recognition rate for the image segmentation of the lighting equipment and a high accuracy for the classification of the abnormal situation of the image.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612641","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602338
Jian Shao, Rong Sun, Zhi-nong Wei, Jianchun Mei, Xin-dong Zhao, W. Dai, Qian Lu
In order to accommodate large-scale grid-connected wind power, it is needed to configure rationally the reserve capacity in system dispatch decision-making. But the uncertainty of wind power increases the system's economic cost in reserve capacity optimal configuration and also makes it more difficult to coordinate the security risk. For this problem, a forward-looking risk decision-making model for economic dispatch is established with an aim to reduce the risk involved in the implementation of the dispatch plan for future time periods. This model is, by means of probability analysis of wind power output random scenarios, to optimize reasonably the output plans of each unit and the reserve capacity of the system and enhances the security-economy coordinating of dispatch decisions. The simulating result in IEEE 30-bus system verifies the rationality and effectiveness of this model.
{"title":"Risk Decision-making Model for Scheduling for Wind Integrated Power System Considering Optimal Configuration of Reserve Capacity","authors":"Jian Shao, Rong Sun, Zhi-nong Wei, Jianchun Mei, Xin-dong Zhao, W. Dai, Qian Lu","doi":"10.1109/POWERCON.2018.8602338","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602338","url":null,"abstract":"In order to accommodate large-scale grid-connected wind power, it is needed to configure rationally the reserve capacity in system dispatch decision-making. But the uncertainty of wind power increases the system's economic cost in reserve capacity optimal configuration and also makes it more difficult to coordinate the security risk. For this problem, a forward-looking risk decision-making model for economic dispatch is established with an aim to reduce the risk involved in the implementation of the dispatch plan for future time periods. This model is, by means of probability analysis of wind power output random scenarios, to optimize reasonably the output plans of each unit and the reserve capacity of the system and enhances the security-economy coordinating of dispatch decisions. The simulating result in IEEE 30-bus system verifies the rationality and effectiveness of this model.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124404236","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602026
Anlong Zhang, Yan Li, Yuhan Huang, Fuquan Huang, Zijun Liu
Closed-loop distribution network can improve power supply reliability and adapt to the injection of DGs. However, problems such as power flowing in both directions have brought challenges to protection and control. A wide area protection and control scheme based on information sharing is proposed, which includes wide area protection control devices and integrated distribution terminals. The scheme uses extensible differential protection principle and load resection method based on load sensitivity to realize adaptive protection and self-healing control for closed-loop distribution network. Finally, the wide area protection and control scheme is compared with the traditional scheme. It shows that the wide area protection and control scheme is feasible, controllable and detectible. In addition, the wide area protection and control scheme has economic advantages such as less space and operation maintenance workload.
{"title":"Research on Wide-Area Protection and Control Scheme for Closed-Loop Distribution Network","authors":"Anlong Zhang, Yan Li, Yuhan Huang, Fuquan Huang, Zijun Liu","doi":"10.1109/POWERCON.2018.8602026","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602026","url":null,"abstract":"Closed-loop distribution network can improve power supply reliability and adapt to the injection of DGs. However, problems such as power flowing in both directions have brought challenges to protection and control. A wide area protection and control scheme based on information sharing is proposed, which includes wide area protection control devices and integrated distribution terminals. The scheme uses extensible differential protection principle and load resection method based on load sensitivity to realize adaptive protection and self-healing control for closed-loop distribution network. Finally, the wide area protection and control scheme is compared with the traditional scheme. It shows that the wide area protection and control scheme is feasible, controllable and detectible. In addition, the wide area protection and control scheme has economic advantages such as less space and operation maintenance workload.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123167713","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601970
Linlin Wu, Man Xu, Hui Liu, Jun Zhang
Nowadays the first four terminals VSC-HVDC grid project in the world is building in North China. Two sending isolated island systems are consist of millions of kilowatts renewable energy and single converter station. Their reactive power and voltage control faces challenge. Aiming at this, this paper proposes a comprehensive voltage control strategy for renewable energy isolated island system aggregated by VSC-HVDC. The control strategy includes steady state voltage control and emergency voltage modulation. For steady state voltage control, the voltage control is achieved through a multi-objective optimization strategy considering the network loss and the reactive power margin of the sending terminal VSC station. An improved genetic algorithm is used to solve the optimization problem. For emergency voltage modulation, reactive power and voltage droop modulation is applied to the sending terminal converter. Case study shows that the strategy takes into account the safety and economic operation of island system and maintains the reactive power of sending terminal VSC converter within the safe operation range as well.
{"title":"Comprehensive Voltage Control Strategy for New Energy Isolated Island System Aggregated by VSC-HVDC","authors":"Linlin Wu, Man Xu, Hui Liu, Jun Zhang","doi":"10.1109/POWERCON.2018.8601970","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601970","url":null,"abstract":"Nowadays the first four terminals VSC-HVDC grid project in the world is building in North China. Two sending isolated island systems are consist of millions of kilowatts renewable energy and single converter station. Their reactive power and voltage control faces challenge. Aiming at this, this paper proposes a comprehensive voltage control strategy for renewable energy isolated island system aggregated by VSC-HVDC. The control strategy includes steady state voltage control and emergency voltage modulation. For steady state voltage control, the voltage control is achieved through a multi-objective optimization strategy considering the network loss and the reactive power margin of the sending terminal VSC station. An improved genetic algorithm is used to solve the optimization problem. For emergency voltage modulation, reactive power and voltage droop modulation is applied to the sending terminal converter. Case study shows that the strategy takes into account the safety and economic operation of island system and maintains the reactive power of sending terminal VSC converter within the safe operation range as well.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"76 1‐2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120854709","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602252
Zhao Yao-hong, Yang Zhuang, Qian Yihua, Li Li, Peng Lei, Z. Qu
On the basis of the principle of multi-frequency ultrasound, genetic algorithm GA and back propagation neural network BPNN, this paper proposed a prediction study of density of transformer oil. Taking 110 sets of transformer oil belonged to China southern power grid as an example, a prediction model of density of transformer oil was established based on BPNN, with the 242 dimensional multi-frequency ultrasonic data of oil sample as the input and density as the output. By adjusting the number of hidden layer neurons, the network was trained. Moreover, the genetic algorithm GA was introduced to optimize the network parameters. All results show that compared with the traditional standard BPNN model, the output value of density of transformer oil with the GA-BPNN model is much close to the real value with small errors, which lays a solid foundation to test transformer oil other parameters with tell multi-frequency ultrasonic technology
{"title":"Recognizing the Density of Transformer Oil Based one GA-BPNN with MFU Technology","authors":"Zhao Yao-hong, Yang Zhuang, Qian Yihua, Li Li, Peng Lei, Z. Qu","doi":"10.1109/POWERCON.2018.8602252","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602252","url":null,"abstract":"On the basis of the principle of multi-frequency ultrasound, genetic algorithm GA and back propagation neural network BPNN, this paper proposed a prediction study of density of transformer oil. Taking 110 sets of transformer oil belonged to China southern power grid as an example, a prediction model of density of transformer oil was established based on BPNN, with the 242 dimensional multi-frequency ultrasonic data of oil sample as the input and density as the output. By adjusting the number of hidden layer neurons, the network was trained. Moreover, the genetic algorithm GA was introduced to optimize the network parameters. All results show that compared with the traditional standard BPNN model, the output value of density of transformer oil with the GA-BPNN model is much close to the real value with small errors, which lays a solid foundation to test transformer oil other parameters with tell multi-frequency ultrasonic technology","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036592","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602195
Shanyi Xie, Fei Xiao, Q. Ai, Gang Zhou
This paper develops a data fusion technology based modeling framework for classifying the underlying cause of power quality (PQ) disturbances. First, the moving-window technique is used to cluster disturbance period with the consideration of the temporal propagation of disturbance energy. Secondly, the PQ disturbance measurements, equipment switching action data and alarm events are integrated by utilizing entity matching method. Then, the distributed mining of association rules is designed to obtain strong association rules within integrated data for describing the relationship between PQ features and event causes. The analysis results have good generalization performance. Finally, the real grid data were taken as an example to verify the effectiveness and practicability of the proposed method. The test results show that the proposed method can analyze the relationship between the typical PQ disturbance features and event causes effectively. This relationship is meaningful for power quality improvement.
{"title":"Classification of Underlying Causes of Power Quality Disturbances Using Data Fusion","authors":"Shanyi Xie, Fei Xiao, Q. Ai, Gang Zhou","doi":"10.1109/POWERCON.2018.8602195","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602195","url":null,"abstract":"This paper develops a data fusion technology based modeling framework for classifying the underlying cause of power quality (PQ) disturbances. First, the moving-window technique is used to cluster disturbance period with the consideration of the temporal propagation of disturbance energy. Secondly, the PQ disturbance measurements, equipment switching action data and alarm events are integrated by utilizing entity matching method. Then, the distributed mining of association rules is designed to obtain strong association rules within integrated data for describing the relationship between PQ features and event causes. The analysis results have good generalization performance. Finally, the real grid data were taken as an example to verify the effectiveness and practicability of the proposed method. The test results show that the proposed method can analyze the relationship between the typical PQ disturbance features and event causes effectively. This relationship is meaningful for power quality improvement.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121254082","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602264
Cao Guohai, Wang Jiachang, Zhao Xin, L. Ying, Zhang Ming, Wang Lin, Wang Yafeng
serious accidents in nuclear power plants (npps) may cause environmental radioactive contamination, resulting in significant social negative effects. The research of serious accidents in npps is gaining increasing concern. The operation support software for serious accident simulation is consists of real-time monitoring, intelligent SAMG and forecast analysis module. The main technologies of real-time intervention in the process of serious accident analysis and dynamic generation for guided SAMG are described in the paper. Last but not least, taking Fangjiashan NO.1 power plant as the research object, then a serious accident of SBO with LOCA and restore power is calculated by software, and Judged whether the main parameters of the system are consistent with the changes of major characteristics in the process of serious accidents. The results show that the software is reasonable in calculation, stable in operation and convenient in graphical interface operation. It is in line with the use habit of serious accident management personnel in npps, and can provide technical support for the operation of nuclear power plants.
{"title":"The Research and Development of Operation Support Software for Serious Accidents Simulation","authors":"Cao Guohai, Wang Jiachang, Zhao Xin, L. Ying, Zhang Ming, Wang Lin, Wang Yafeng","doi":"10.1109/POWERCON.2018.8602264","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602264","url":null,"abstract":"serious accidents in nuclear power plants (npps) may cause environmental radioactive contamination, resulting in significant social negative effects. The research of serious accidents in npps is gaining increasing concern. The operation support software for serious accident simulation is consists of real-time monitoring, intelligent SAMG and forecast analysis module. The main technologies of real-time intervention in the process of serious accident analysis and dynamic generation for guided SAMG are described in the paper. Last but not least, taking Fangjiashan NO.1 power plant as the research object, then a serious accident of SBO with LOCA and restore power is calculated by software, and Judged whether the main parameters of the system are consistent with the changes of major characteristics in the process of serious accidents. The results show that the software is reasonable in calculation, stable in operation and convenient in graphical interface operation. It is in line with the use habit of serious accident management personnel in npps, and can provide technical support for the operation of nuclear power plants.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121364993","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601835
Mingyu Zhou, Yuzhen Zhou, Q. Zhuang, Zhengyi Han, X. Lei
In the booming market of high voltage DC cables, the progress of developing accessories become a main bottleneck. In this paper, we firstly introduce our DC cable accessories insulated with silicone rubber, a material currently applied much more frequently in AC than in DC. Then, our experience on testing the 320 kV system, as well as our preliminary experience on diagnosing the 500 kV system in factory will be introduced and discussed. Based on the discussion, we recommend to perform partial discharge tests before load cycle tests to control the quality of installation.
{"title":"Measuring Partial Discharge on EHV DC Cable Accessories Insulated with Silicone Rubber in Development Tests","authors":"Mingyu Zhou, Yuzhen Zhou, Q. Zhuang, Zhengyi Han, X. Lei","doi":"10.1109/POWERCON.2018.8601835","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601835","url":null,"abstract":"In the booming market of high voltage DC cables, the progress of developing accessories become a main bottleneck. In this paper, we firstly introduce our DC cable accessories insulated with silicone rubber, a material currently applied much more frequently in AC than in DC. Then, our experience on testing the 320 kV system, as well as our preliminary experience on diagnosing the 500 kV system in factory will be introduced and discussed. Based on the discussion, we recommend to perform partial discharge tests before load cycle tests to control the quality of installation.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127112133","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601848
Hongsheng Xu, Jixiang Lu, Zhihong Yang
Recently, the rapid development of Artificial Intelligence (AI) has attracted more and more attention. It has been over two decades since AI techniques emerged in power systems as effective tools to solve many complex problems. The new generation AI technologies will promote energy transition and support future power system with no doubt. This paper tried to grasp the research hotspots, frontiers and mainstream trends of AI research in power systems through a literature data collected from the Web of Science (WOS) database between 2010 and 2018, by using a widely used tool in knowledge mapping—CiteSpace. The collaboration networks were analyzed among different countries/regions and institutions contributing to the publications. A detailed discussion was given based on the general statistical data and the visualized knowledge maps. The pivotal and mushrooming articles were identified and reviewed by introducing the betweenness centrality and citation bursts as indicators.
{"title":"CiteSpace Based Knowledge Mapping Research of Artificial Intelligence Technology in Power System","authors":"Hongsheng Xu, Jixiang Lu, Zhihong Yang","doi":"10.1109/POWERCON.2018.8601848","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601848","url":null,"abstract":"Recently, the rapid development of Artificial Intelligence (AI) has attracted more and more attention. It has been over two decades since AI techniques emerged in power systems as effective tools to solve many complex problems. The new generation AI technologies will promote energy transition and support future power system with no doubt. This paper tried to grasp the research hotspots, frontiers and mainstream trends of AI research in power systems through a literature data collected from the Web of Science (WOS) database between 2010 and 2018, by using a widely used tool in knowledge mapping—CiteSpace. The collaboration networks were analyzed among different countries/regions and institutions contributing to the publications. A detailed discussion was given based on the general statistical data and the visualized knowledge maps. The pivotal and mushrooming articles were identified and reviewed by introducing the betweenness centrality and citation bursts as indicators.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124989878","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601618
Deng Lijun, Guo Qi, L. Xuehua, Liu Shuyong, H. Libin
With the large scale VSC-HVDC project put into operation, the black start based on the VSC-HVDC has become the key consideration for the dispatching operation department to formulate the black start scheme of power grid. In this paper, the mechanism of the black start control strategy and the feasibility of the black start with the target network charging were studied. An improved control strategy was proposed to optimize the timing of the switch closing, that made the network voltage raising from zero to rated during VSC-HVDC system charging process. Meanwhile, a RTDS black start simulation model using Luxi Back-to-back VSC-HVDC system as power supply of Yunnan power grid/Guangxi power grid was built. With VSC-HVDC C & P system and the RTDS model, a closing loop simulation platform of power grid black-start system was built. Simulation results verified the effectiveness of the proposed strategy.
{"title":"Study of the VSC-HVDC Black Start Strategy Improvement Based on RTDS Closed Loop Simulation","authors":"Deng Lijun, Guo Qi, L. Xuehua, Liu Shuyong, H. Libin","doi":"10.1109/POWERCON.2018.8601618","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601618","url":null,"abstract":"With the large scale VSC-HVDC project put into operation, the black start based on the VSC-HVDC has become the key consideration for the dispatching operation department to formulate the black start scheme of power grid. In this paper, the mechanism of the black start control strategy and the feasibility of the black start with the target network charging were studied. An improved control strategy was proposed to optimize the timing of the switch closing, that made the network voltage raising from zero to rated during VSC-HVDC system charging process. Meanwhile, a RTDS black start simulation model using Luxi Back-to-back VSC-HVDC system as power supply of Yunnan power grid/Guangxi power grid was built. With VSC-HVDC C & P system and the RTDS model, a closing loop simulation platform of power grid black-start system was built. Simulation results verified the effectiveness of the proposed strategy.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125850537","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：