Pub Date : 2018-11-01DOI: 10.1109/POWERCON.2018.8601955
Liu Qianjin, Yu Longfei, Li Zhuohuan, Zeng Jiang, Chen Siyuan
In the traditional strategy of voltage control, the only consideration of the region's voltage and reactive power optimization is maintaining each bus voltage within the qualified range, Power grid at all levels Beneath the bus bar control its voltage according to the upper level voltage. However, in actual operation, the voltage regulation capability of the medium-low voltage distribution network is often insufficient to ensure its voltage qualification rate, and the upper-level power grid needs to adjust its voltage according to the actual requirements of the lower-level power grid. This paper presents a regional voltage reactive power optimization strategy based on the voltage qualification rate evaluation function. By establishing the voltage pass rate model of the low-voltage distribution network zone and medium-pressure zone in turn, a three-level voltage reactive power optimization strategy for the low-voltage zone, medium-pressure zone and regional power grid is formed. The voltage qualification rate evaluation function is established step by step, making the regional voltage and reactive power optimization strategy well consider the impact on the voltage qualification rate of the lower-level power grid, and solving the problem of coordination and optimization of voltage and reactive power of the upper and lower three-level power grid. The simulation results show that this strategy greatly improves the comprehensive voltage qualification rate of the regional power grid and has high economic benefits.
{"title":"Regional grid voltage reactive power optimization strategy based on voltage qualification rate evaluation function","authors":"Liu Qianjin, Yu Longfei, Li Zhuohuan, Zeng Jiang, Chen Siyuan","doi":"10.1109/POWERCON.2018.8601955","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601955","url":null,"abstract":"In the traditional strategy of voltage control, the only consideration of the region's voltage and reactive power optimization is maintaining each bus voltage within the qualified range, Power grid at all levels Beneath the bus bar control its voltage according to the upper level voltage. However, in actual operation, the voltage regulation capability of the medium-low voltage distribution network is often insufficient to ensure its voltage qualification rate, and the upper-level power grid needs to adjust its voltage according to the actual requirements of the lower-level power grid. This paper presents a regional voltage reactive power optimization strategy based on the voltage qualification rate evaluation function. By establishing the voltage pass rate model of the low-voltage distribution network zone and medium-pressure zone in turn, a three-level voltage reactive power optimization strategy for the low-voltage zone, medium-pressure zone and regional power grid is formed. The voltage qualification rate evaluation function is established step by step, making the regional voltage and reactive power optimization strategy well consider the impact on the voltage qualification rate of the lower-level power grid, and solving the problem of coordination and optimization of voltage and reactive power of the upper and lower three-level power grid. The simulation results show that this strategy greatly improves the comprehensive voltage qualification rate of the regional power grid and has high economic benefits.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"58 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":"132094155","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.2018.8602046
Huang Xiangmin, Liu Xuan, Zhang Yongjun, Fan Suchun, Xie Xiaoyu
Due to the difficult data acquisition and invisible equipment state in mid-voltage and low-voltage distribution network, it is relatively unsatisfying in operation and maintenance of distribution system. Aiming at the situation, a concept of transparent distribution network is proposed in this paper, based on which, a data acquisition terminal is also designed. The terminal can be used for data collection and communication of various kinds of distributing equipment. Furthermore, a data operation & maintenance platform of transparent distribution network is presented, as well as the architecture and implementation of it. Taking a rural distribution network in the southern China as a pilot, by analyzing operation data that has been collected, it is helpful to achieve intelligent operation & maintenance and auxiliary decision-making in transparent distribution network, which greatly improves the efficiency and level of management.
{"title":"Data Operation & Maintenance Technology Based on Comprehensive Measurement of Transparent Distribution Network","authors":"Huang Xiangmin, Liu Xuan, Zhang Yongjun, Fan Suchun, Xie Xiaoyu","doi":"10.1109/POWERCON.2018.8602046","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602046","url":null,"abstract":"Due to the difficult data acquisition and invisible equipment state in mid-voltage and low-voltage distribution network, it is relatively unsatisfying in operation and maintenance of distribution system. Aiming at the situation, a concept of transparent distribution network is proposed in this paper, based on which, a data acquisition terminal is also designed. The terminal can be used for data collection and communication of various kinds of distributing equipment. Furthermore, a data operation & maintenance platform of transparent distribution network is presented, as well as the architecture and implementation of it. Taking a rural distribution network in the southern China as a pilot, by analyzing operation data that has been collected, it is helpful to achieve intelligent operation & maintenance and auxiliary decision-making in transparent distribution network, which greatly improves the efficiency and level of management.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"76 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":"132099988","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.2018.8601834
Lixia Zhao, Zhigang Wu
The day-ahead optimal dispatch for independent community microgrid (ICMG) is studied in this paper. The ICMGs are those power grids in underdeveloped countries usually cannot be connected to traditional high-voltage power networks, at the same time, there are always plenty of renewable energy in those grids, while the grid are with small or medium scales. Special characteristics for ICMG are analyzed in detail in this paper, then a dynamic programming model of day-ahead optimal dispatch is introduced for ICMG, in which load fulfillment, stochastic behavior of load and renewable energy as well as the importance of generation cost are considered seriously. Sample case based on test network is analyzed to verify the validity and efficiency of the proposed model.
{"title":"The Day-Ahead Economical Optimal Dispatch for Independent Community Microgrid","authors":"Lixia Zhao, Zhigang Wu","doi":"10.1109/POWERCON.2018.8601834","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601834","url":null,"abstract":"The day-ahead optimal dispatch for independent community microgrid (ICMG) is studied in this paper. The ICMGs are those power grids in underdeveloped countries usually cannot be connected to traditional high-voltage power networks, at the same time, there are always plenty of renewable energy in those grids, while the grid are with small or medium scales. Special characteristics for ICMG are analyzed in detail in this paper, then a dynamic programming model of day-ahead optimal dispatch is introduced for ICMG, in which load fulfillment, stochastic behavior of load and renewable energy as well as the importance of generation cost are considered seriously. Sample case based on test network is analyzed to verify the validity and efficiency of the proposed model.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"34 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":"132140886","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.2018.8601948
Li Guomin, Niu Maolong, Cao Ying
The safety parameters of the nuclear power plant reactor protection system directly affect the safe operation of the power plant. The application of digital technology in the control system of the nuclear power plant provides the basis for the research and development of the safety parameter management tool SPMS. This paper classifies the safety parameters of the reactor protection system. Based on the maintenance terminal of the digital protection system, the safety parameter management tool SPMS is developed, which realizes the unified online management of the safety parameters. Through the application of SPMS, the power station personnel can control the whole process of parameter management, and achieve the purpose of centralized, efficient and safe management of parameters by modification, storage and comparison.
{"title":"Safety Parameter Management System for Reactor Protection System","authors":"Li Guomin, Niu Maolong, Cao Ying","doi":"10.1109/POWERCON.2018.8601948","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601948","url":null,"abstract":"The safety parameters of the nuclear power plant reactor protection system directly affect the safe operation of the power plant. The application of digital technology in the control system of the nuclear power plant provides the basis for the research and development of the safety parameter management tool SPMS. This paper classifies the safety parameters of the reactor protection system. Based on the maintenance terminal of the digital protection system, the safety parameter management tool SPMS is developed, which realizes the unified online management of the safety parameters. Through the application of SPMS, the power station personnel can control the whole process of parameter management, and achieve the purpose of centralized, efficient and safe management of parameters by modification, storage and comparison.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"146 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":"132266846","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.2018.8601825
X. Zhao, Linhuan Luo, Guolong Ma, Z. Cai, Zhanji Gu, Qinghai Wang
The operation and maintenance management of the distribution network (DN) mainly includes fault analysis, active early-warning and differentiated operation and maintenance. In the context of multi-time-scale and multi-spatial-temporal data in DN, this paper deals with the application of data mining for distribution network operation and maintenance management. In the paper, the one-dimensional fault feature is extracted from fault information by K-means clustering algorithm. Then, we employed Apriori algorithm to mine association rules of different failure modes and establish key performance matrix. The spatial-temporal characteristics are analyzed based on high-dimensional random matrix theory (RMT). Afterwards, one-dimensional and multi-dimensional fault features are combined based on D-S evidence theory so that the fault diagnosis criteria of DN is obtained. At the same time, comprehensively considering the DN operating state and the variation for power users, health index and importance index of equipment are established, which could help to significantly reduce the decision-making risk of DN operation and maintenance. The result of simulation proves the effectiveness of the proposed method.
{"title":"Operation and Maintenance Management and Decision Analysis in Distribution Network Based on Big Data Mining","authors":"X. Zhao, Linhuan Luo, Guolong Ma, Z. Cai, Zhanji Gu, Qinghai Wang","doi":"10.1109/POWERCON.2018.8601825","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601825","url":null,"abstract":"The operation and maintenance management of the distribution network (DN) mainly includes fault analysis, active early-warning and differentiated operation and maintenance. In the context of multi-time-scale and multi-spatial-temporal data in DN, this paper deals with the application of data mining for distribution network operation and maintenance management. In the paper, the one-dimensional fault feature is extracted from fault information by K-means clustering algorithm. Then, we employed Apriori algorithm to mine association rules of different failure modes and establish key performance matrix. The spatial-temporal characteristics are analyzed based on high-dimensional random matrix theory (RMT). Afterwards, one-dimensional and multi-dimensional fault features are combined based on D-S evidence theory so that the fault diagnosis criteria of DN is obtained. At the same time, comprehensively considering the DN operating state and the variation for power users, health index and importance index of equipment are established, which could help to significantly reduce the decision-making risk of DN operation and maintenance. The result of simulation proves the effectiveness of the proposed method.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"29 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":"132733177","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.2018.8601688
Zhisheng Wang, Xuemin Zhang, Bin Liu, Zhankui Zhang
Off shore wind farms have experienced rapid growth in China, providing adequate power for coastal load centers. While, the investment of off shore wind farms is much higher than that of land-based wind farms. Meanwhile, the transmission loss inside an off shore wind farm (typical value >3%) is much higher than that in a land-based one (typical value <1%) for larger installed capacity, wider space distribution and significant capacitive reactance of long submarine cables. Therefore, minimization of transmission loss becomes important to reduce the cost of off shore wind farms. Due to nonlinear relation and uncertainty of wind, minimizing active power loss caused by reactive power transmission remains a challenging task. This paper presents a two-step optimization strategy to reduce transmission loss inside off shore wind farm. Discrete devices such as on load tap changing transformer (OLTC) and static var compensator (SVC) are built in, and the uncertainty of wind speed is considered. Step I controls discrete devices with a scenarios based method, while step II fine tunes the reactive power generation of wind turbines. In the optimization, second-order cone relaxation (SOCR) is applied for better computational performance. In contrast with automatic voltage control (AVC), transmission loss decreases by30% without significant increase of voltage fluctuation.
{"title":"A Two-step Reactive Power optimization Method of OffShore Wind Farms with Discrete Devices Considered","authors":"Zhisheng Wang, Xuemin Zhang, Bin Liu, Zhankui Zhang","doi":"10.1109/POWERCON.2018.8601688","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601688","url":null,"abstract":"Off shore wind farms have experienced rapid growth in China, providing adequate power for coastal load centers. While, the investment of off shore wind farms is much higher than that of land-based wind farms. Meanwhile, the transmission loss inside an off shore wind farm (typical value >3%) is much higher than that in a land-based one (typical value <1%) for larger installed capacity, wider space distribution and significant capacitive reactance of long submarine cables. Therefore, minimization of transmission loss becomes important to reduce the cost of off shore wind farms. Due to nonlinear relation and uncertainty of wind, minimizing active power loss caused by reactive power transmission remains a challenging task. This paper presents a two-step optimization strategy to reduce transmission loss inside off shore wind farm. Discrete devices such as on load tap changing transformer (OLTC) and static var compensator (SVC) are built in, and the uncertainty of wind speed is considered. Step I controls discrete devices with a scenarios based method, while step II fine tunes the reactive power generation of wind turbines. In the optimization, second-order cone relaxation (SOCR) is applied for better computational performance. In contrast with automatic voltage control (AVC), transmission loss decreases by30% without significant increase of voltage fluctuation.","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":"133194065","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.2018.8601847
Deyu Yuan, Zheng Qian, Bo Jing, Yan Pei
With the rapid growth of wind power, wind speed forecasting becomes more and more significant to ensure stable and efficient operations of wind power system. This paper proposes an improved hybrid methodology for short-term wind speed forecasting. After data preprocessing, MI algorithm is used to select proper wind speed features, then Ensemble Empirical Mode Decomposition (EEMD) is utilized to decompose the original wind speed series in order to make the chaotic series more stable. A novel model named ST-LSSVM is proposed to forecast the decomposed sub-series, which combines the Least Squares Support Vector Machine (LSSVM) and State Transition method (ST). In order to further enhance the model performance, Particle Swarm Optimization (PSO) is utilized to fine-tune the parameter values of the ST-LSSVM. Finally, real world wind speed data are used to estimate the proposed hybrid forecasting model. The results demonstrate that proposed ST-LSSVM hybrid model has the best prediction accuracy in one to six step’s forecasting, compared with Persistence, Autoregressive Integrated Moving Average (ARIMA), Back-Propagation Neutral Network (BPNN) and Least Squares Support Vector Machine (LSSVM) models.
{"title":"Short-term wind speed forecasting using STLSSVM hybrid model","authors":"Deyu Yuan, Zheng Qian, Bo Jing, Yan Pei","doi":"10.1109/POWERCON.2018.8601847","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601847","url":null,"abstract":"With the rapid growth of wind power, wind speed forecasting becomes more and more significant to ensure stable and efficient operations of wind power system. This paper proposes an improved hybrid methodology for short-term wind speed forecasting. After data preprocessing, MI algorithm is used to select proper wind speed features, then Ensemble Empirical Mode Decomposition (EEMD) is utilized to decompose the original wind speed series in order to make the chaotic series more stable. A novel model named ST-LSSVM is proposed to forecast the decomposed sub-series, which combines the Least Squares Support Vector Machine (LSSVM) and State Transition method (ST). In order to further enhance the model performance, Particle Swarm Optimization (PSO) is utilized to fine-tune the parameter values of the ST-LSSVM. Finally, real world wind speed data are used to estimate the proposed hybrid forecasting model. The results demonstrate that proposed ST-LSSVM hybrid model has the best prediction accuracy in one to six step’s forecasting, compared with Persistence, Autoregressive Integrated Moving Average (ARIMA), Back-Propagation Neutral Network (BPNN) and Least Squares Support Vector Machine (LSSVM) models.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"44 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":"127867857","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.2018.8601972
Qun Li, Feng Wu
A large-scale wind farm usually consists of many wind turbine generators, and the model of such wind farm will be complicated if every wind turbine generator is modeled in detail. Therefore, an equivalent model is necessary to simplify the model and reduce the order of wind farm model. An appropriate grouping method is important for equivalent modeling. In this paper, a grouping method of wind turbine generators based on Fréchet distance is proposed, and the theory of this method is introduced. An example of wind farm is built and wind turbine generators in this wind farm are grouped by this method. The effectiveness of this method is confirmed by the output variables simulation curves of detailed model and equivalent model.
{"title":"A Grouping Method of Wind Turbine Generators Based on Fréchet Distance","authors":"Qun Li, Feng Wu","doi":"10.1109/POWERCON.2018.8601972","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601972","url":null,"abstract":"A large-scale wind farm usually consists of many wind turbine generators, and the model of such wind farm will be complicated if every wind turbine generator is modeled in detail. Therefore, an equivalent model is necessary to simplify the model and reduce the order of wind farm model. An appropriate grouping method is important for equivalent modeling. In this paper, a grouping method of wind turbine generators based on Fréchet distance is proposed, and the theory of this method is introduced. An example of wind farm is built and wind turbine generators in this wind farm are grouped by this method. The effectiveness of this method is confirmed by the output variables simulation curves of detailed model and equivalent model.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"22 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":"131863521","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.2018.8602159
Haoyong Chen, Ming Qiu, H. Ngan
The fundamental theory of energy networks in different energy forms is established following an in-depth analysis of the nature of energy for comprehensive energy utilization. Based on the physical theories of analytical mechanics, thermodynamics, heat transfer, fluid mechanics (fluid network), electromagnetic field theory (electric network), the generalized equations of energy transfer and transformation are established. Then the generalized lumped element models are derived, which include the generalized resistance, capacitor and inductance. To establish the equations of energy networks, the Kirchhoff’s Law in electric networks is extended to energy networks, which is called the Generalized Kirchhoff’s Law. The equations are finally unified into a complete energy network equation system. A numerical example is given to testify the effectiveness of energy network theory.
{"title":"Energy Network Theory for Modeling and Analysis of Integrated Energy Systems","authors":"Haoyong Chen, Ming Qiu, H. Ngan","doi":"10.1109/POWERCON.2018.8602159","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602159","url":null,"abstract":"The fundamental theory of energy networks in different energy forms is established following an in-depth analysis of the nature of energy for comprehensive energy utilization. Based on the physical theories of analytical mechanics, thermodynamics, heat transfer, fluid mechanics (fluid network), electromagnetic field theory (electric network), the generalized equations of energy transfer and transformation are established. Then the generalized lumped element models are derived, which include the generalized resistance, capacitor and inductance. To establish the equations of energy networks, the Kirchhoff’s Law in electric networks is extended to energy networks, which is called the Generalized Kirchhoff’s Law. The equations are finally unified into a complete energy network equation system. A numerical example is given to testify the effectiveness of energy network theory.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"24 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":"133850074","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.2018.8601855
Ertao Lei, Ming Ma, Ling Wang, Xiaobing Liang, Xianggen Yin
To improve the accuracy of semi-physical simulation, this paper mainly discussed interpolation and extrapolation algorithms for switching events compensation of cascaded static synchronous compensators (STATCOM). The moment of the switching events was captured by Field-programmable gate array (FPGA). Two linear interpolations and one extrapolation were adopted to compensate the error caused by multiple switching events during one simulation step. In addition, a linear interpolation was also applied for time delay compensation in hardware in loop test. Both rapid control prototyping and hardware in loop tests were performed to verify the effectiveness of the interpolation algorithms. Experimental results indicated that the time delay was almost eliminated and the output waveform was improved after compensation.
{"title":"Interpolation and Extrapolation Algorithm for Switching Events Compensation in Semi-Physical Simulation of Cascaded STATCOM","authors":"Ertao Lei, Ming Ma, Ling Wang, Xiaobing Liang, Xianggen Yin","doi":"10.1109/POWERCON.2018.8601855","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601855","url":null,"abstract":"To improve the accuracy of semi-physical simulation, this paper mainly discussed interpolation and extrapolation algorithms for switching events compensation of cascaded static synchronous compensators (STATCOM). The moment of the switching events was captured by Field-programmable gate array (FPGA). Two linear interpolations and one extrapolation were adopted to compensate the error caused by multiple switching events during one simulation step. In addition, a linear interpolation was also applied for time delay compensation in hardware in loop test. Both rapid control prototyping and hardware in loop tests were performed to verify the effectiveness of the interpolation algorithms. Experimental results indicated that the time delay was almost eliminated and the output waveform was improved after compensation.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"62 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":"115533247","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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