Pub Date : 2018-11-01DOI: 10.1109/POWERCON.2018.8601602
Yang Xian, Mai Zhiqin, X. Xiang, Lin Chun-yao, Rao Zhang-quan, Zhou Yuan
The influence of Garton effect on the measurement values of dielectric loss of capacitor voltage transformer (CVT) is lack of systematic research and understanding. The Garton effect in insulation theory was expounded. Using a CVT with Garton effect, the values of dielectric loss were measured before and after the lightning impulse test and the short-time running voltage test respectively. Through the analysis of the values, the law of the influence of Garton effect on the measurement values of dielectric loss of CVT is mastered. And the methods and treatment recommendations were put forward to judge if Garton effect occurs in field tests of CVT, which provides a reference for the accurate discrimination of CVT insulation condition.
{"title":"Research of Influence of Garton Effect on the Measurement Values of Dielectric Loss of Capacitor Voltage Transformer","authors":"Yang Xian, Mai Zhiqin, X. Xiang, Lin Chun-yao, Rao Zhang-quan, Zhou Yuan","doi":"10.1109/POWERCON.2018.8601602","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601602","url":null,"abstract":"The influence of Garton effect on the measurement values of dielectric loss of capacitor voltage transformer (CVT) is lack of systematic research and understanding. The Garton effect in insulation theory was expounded. Using a CVT with Garton effect, the values of dielectric loss were measured before and after the lightning impulse test and the short-time running voltage test respectively. Through the analysis of the values, the law of the influence of Garton effect on the measurement values of dielectric loss of CVT is mastered. And the methods and treatment recommendations were put forward to judge if Garton effect occurs in field tests of CVT, which provides a reference for the accurate discrimination of CVT insulation condition.","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":"124498025","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.2018.8601965
{"title":"POWERCON 2018 TOC","authors":"","doi":"10.1109/powercon.2018.8601965","DOIUrl":"https://doi.org/10.1109/powercon.2018.8601965","url":null,"abstract":"","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"28 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":"126186855","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.2018.8601740
Shuxin Tian, Yang Fu, Ping Ling, Shurong Wei, Shu Liu, Kunpeng Li
Wind power prediction is an important basis for secure and economic operation of power grid. In view of the impacts of wind power’s stochastic volatility on wind power forecasting accuracy, a novel short-term wind power prediction method based on ARIMA-LGARCH model is proposed in this paper. This method analyzes the non-stationary and autocorrelation of time series data of wind power by utilizing Auto Regression Integrated Moving Average (ARIMA) model and asymmetric positive and negative fluctuation characteristics of wind power based on Logarithmic Generalized Autoregression Conditional Heteroscedasticity (LGARCH) model. LGARCH is designed to deal with the asymmetric fluctuation and data-trailing problems of wind power through introducing logarithm process and the independent identically distributed stochastic variable into the current GARCH model. The mixed model of ARIMA-LGARCH is built to achieve high-accuracy short-term forecasting of wind power output with strong uncertainties. The comparative analysis between the predicted value and real value of the actual wind power output in a certain wind farm verifies the feasibility and effectiveness of the method proposed in this paper.
{"title":"Wind Power Forecasting Based on ARIMA-LGARCH Model","authors":"Shuxin Tian, Yang Fu, Ping Ling, Shurong Wei, Shu Liu, Kunpeng Li","doi":"10.1109/POWERCON.2018.8601740","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601740","url":null,"abstract":"Wind power prediction is an important basis for secure and economic operation of power grid. In view of the impacts of wind power’s stochastic volatility on wind power forecasting accuracy, a novel short-term wind power prediction method based on ARIMA-LGARCH model is proposed in this paper. This method analyzes the non-stationary and autocorrelation of time series data of wind power by utilizing Auto Regression Integrated Moving Average (ARIMA) model and asymmetric positive and negative fluctuation characteristics of wind power based on Logarithmic Generalized Autoregression Conditional Heteroscedasticity (LGARCH) model. LGARCH is designed to deal with the asymmetric fluctuation and data-trailing problems of wind power through introducing logarithm process and the independent identically distributed stochastic variable into the current GARCH model. The mixed model of ARIMA-LGARCH is built to achieve high-accuracy short-term forecasting of wind power output with strong uncertainties. The comparative analysis between the predicted value and real value of the actual wind power output in a certain wind farm verifies the feasibility and effectiveness of the method proposed in this paper.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"111 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":"124805564","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.2018.8602066
Siyu Lu, Baorong Zhou, Lei Chen, Wenfeng Yao
The increased focus on environmental protection and the problem of lack of fossil energy around the world has prompted the rapid development of renewable power generation technology. As the penetration of renewable power generation such as photovoltaic (PV) power generation gradually increases, its impacts on power system planning and operation are increasingly obvious. In this paper, the generation structure in China Southern Power Grid (CSG) in 2050 with high penetration of PV generation is discussed. In addition, the impacts of high penetration of PV generation on power balance and peak-load regulation, as well as the influence of investment of PV and energy storage equipment on power generation structure have also been investigated. And some conclusions and suggestions have been presented to provide reference for the future power system planning and operation in China Southern Power Grid.
{"title":"Discuss of the future Power Generation Structure in China Southern Power Grid with High Penetration of PV Generation","authors":"Siyu Lu, Baorong Zhou, Lei Chen, Wenfeng Yao","doi":"10.1109/POWERCON.2018.8602066","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602066","url":null,"abstract":"The increased focus on environmental protection and the problem of lack of fossil energy around the world has prompted the rapid development of renewable power generation technology. As the penetration of renewable power generation such as photovoltaic (PV) power generation gradually increases, its impacts on power system planning and operation are increasingly obvious. In this paper, the generation structure in China Southern Power Grid (CSG) in 2050 with high penetration of PV generation is discussed. In addition, the impacts of high penetration of PV generation on power balance and peak-load regulation, as well as the influence of investment of PV and energy storage equipment on power generation structure have also been investigated. And some conclusions and suggestions have been presented to provide reference for the future power system planning and operation in China Southern Power Grid.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"84 4 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":"129683467","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.2018.8602197
Famous O. Igbinovia, J. Krupka
Economic growth and the use of renewable power technology in Africa now work together owing to cost parity between renewable and non-renewable energy technologies. As renewable power technology is now becoming more inexpensive, there are indications that in some markets in the continent, renewable power technologies might become easily affordable as compared to non-renewable energy. Thus, Africa’s economic success could indeed be driven by renewable energy (RE) technologies. This research paper discusses the integration of renewable energy in Africa, Electricity consumption in Nigeria, and integration of renewable energy in Nigeria. To correctly capture how renewable energy is being integrated in the continent, the effect of adoption of new technology on the performance of a public utility electricity transmission firm is examined. The Transmission Company of Nigeria was used as a case study.
{"title":"Renewable Energy Integration in Africa: A Case Study of the Adoption of New Technology by the Electricity Transmission Company of Nigeria","authors":"Famous O. Igbinovia, J. Krupka","doi":"10.1109/POWERCON.2018.8602197","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602197","url":null,"abstract":"Economic growth and the use of renewable power technology in Africa now work together owing to cost parity between renewable and non-renewable energy technologies. As renewable power technology is now becoming more inexpensive, there are indications that in some markets in the continent, renewable power technologies might become easily affordable as compared to non-renewable energy. Thus, Africa’s economic success could indeed be driven by renewable energy (RE) technologies. This research paper discusses the integration of renewable energy in Africa, Electricity consumption in Nigeria, and integration of renewable energy in Nigeria. To correctly capture how renewable energy is being integrated in the continent, the effect of adoption of new technology on the performance of a public utility electricity transmission firm is examined. The Transmission Company of Nigeria was used as a case study.","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":"129631734","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 order to accurately forecast the development trend of transformers and the trend in the early stage of faults, this paper provides a method to predict the dissolved gas content in transformer oil with DOG wavelet kernel function and artificial bee colony algorithm (ABC) based on least squares vector machine regression (LSSVR). This paper first optimizes the parameters of LSSVR by ABC, then constructs the LSSVR model with the DOG, finally evaluates the prediction performance based on the measurement of the average absolute error percentage (MAPE) and the square correlation coefficient $(r^{2})$ to prove the accuracy and effectiveness of this method.
{"title":"Forecasting of Dissolved Gases in Power Transformer Oil Based on DOG -LSSVM Regression and Artificial Bee Colony","authors":"Yiyi Zhang, Liuliang Zhao, Jiake Fang, Jian Jiao, Changyi Liao, Xin Li","doi":"10.1109/POWERCON.2018.8601863","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601863","url":null,"abstract":"In order to accurately forecast the development trend of transformers and the trend in the early stage of faults, this paper provides a method to predict the dissolved gas content in transformer oil with DOG wavelet kernel function and artificial bee colony algorithm (ABC) based on least squares vector machine regression (LSSVR). This paper first optimizes the parameters of LSSVR by ABC, then constructs the LSSVR model with the DOG, finally evaluates the prediction performance based on the measurement of the average absolute error percentage (MAPE) and the square correlation coefficient $(r^{2})$ to prove the accuracy and effectiveness of this method.","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":"127417852","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.2018.8602071
Jinqing Linghu, L. Kang, Ming Liu, Wanye Jin, Huabing Rao
State of charge (SOC) estimation is a core technology for battery management system (BMS), which plays an important role to make electric vehicles (EVs) operate safely, reliably and economically. In this paper, a new approach based on the Spherical Simplex-Radial Cubature Kalman Filter (SSRCKF) algorithm is presented to improve the accuracy of SOC estimation. The superiority of the proposed approach has been proved through the Worldwide harmonized Light Vehicles Test Procedure, which came into effect last year in the European Union. In addition, noise are added to the measured data of current and voltage to verify the its anti-interference ability. By comparing with the Unscented Kalman Filter (UKF) and the Cubature Kalman Filter (CKF), the experimental results show that the SSRCKF algorithm estimated the SOC more accurately than the UKF and CKF.
{"title":"State of Charge Estimation for Ternary Battery in Electric Vehicles Using Spherical Simplex-Radial Cubature Kalman Filter","authors":"Jinqing Linghu, L. Kang, Ming Liu, Wanye Jin, Huabing Rao","doi":"10.1109/POWERCON.2018.8602071","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602071","url":null,"abstract":"State of charge (SOC) estimation is a core technology for battery management system (BMS), which plays an important role to make electric vehicles (EVs) operate safely, reliably and economically. In this paper, a new approach based on the Spherical Simplex-Radial Cubature Kalman Filter (SSRCKF) algorithm is presented to improve the accuracy of SOC estimation. The superiority of the proposed approach has been proved through the Worldwide harmonized Light Vehicles Test Procedure, which came into effect last year in the European Union. In addition, noise are added to the measured data of current and voltage to verify the its anti-interference ability. By comparing with the Unscented Kalman Filter (UKF) and the Cubature Kalman Filter (CKF), the experimental results show that the SSRCKF algorithm estimated the SOC more accurately than the UKF and CKF.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"6 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":"129950848","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.2018.8602296
Yixuan Peng, Feng Ji, X. Cui, Lu Gao
In the simulations of voltage source converter (VSC) based DC grids, fast protection schemes for overhead lines, such as traveling wave protection unavoidably require a small time step when simulating high voltage direct current (HVDC) circuit breakers. In order to present protection processes accurately and realize hardware-in-the-loop (HIL) simulation, this paper proposes a modeling method of HVDC circuit breakers for small time-step real-time simulation. After using the transmission line modeling method(TLM) to solve the arrester and constant impedance model of the switch, the admittance matrix of the HVDC breaker will keep constant, which reduces computing time greatly. A simplified HVDC breaker is used to interpret the modeling method. And a test circuit is implemented on a field programmable gate array (FPGA) board, on which efficient and accurate simulation results are obtained.
{"title":"The Modeling of HVDC Circuit Breakers for Small Time-step Real-time Simulation","authors":"Yixuan Peng, Feng Ji, X. Cui, Lu Gao","doi":"10.1109/POWERCON.2018.8602296","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602296","url":null,"abstract":"In the simulations of voltage source converter (VSC) based DC grids, fast protection schemes for overhead lines, such as traveling wave protection unavoidably require a small time step when simulating high voltage direct current (HVDC) circuit breakers. In order to present protection processes accurately and realize hardware-in-the-loop (HIL) simulation, this paper proposes a modeling method of HVDC circuit breakers for small time-step real-time simulation. After using the transmission line modeling method(TLM) to solve the arrester and constant impedance model of the switch, the admittance matrix of the HVDC breaker will keep constant, which reduces computing time greatly. A simplified HVDC breaker is used to interpret the modeling method. And a test circuit is implemented on a field programmable gate array (FPGA) board, on which efficient and accurate simulation results are obtained.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"84 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":"130134274","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.2018.8602347
Zhipeng Jing, Hui Ren, Shiyao Hu, Yixin Wang, D. Watts, Bo Yuan
The electric vehicle (EV), when aggregated by an agent (Aggregator), is a suitable candidate for participating demand response in power system operation. This paper proposes a method for the calculation of the optimal charging and V2G decision through aggregator with consideration of the trade-off between EV users' charging willingness and cost, and trade-off between the capacity loss and revenue due to V2G. Following this optimal decision, EV users' charging/V2G capacity can be well predicted in advance. However, if EV users' order at aggregators can be 100% fulfilled depends on the facility level and technology of aggregators. Moreover, the aggregators' DR capability is also affected by the sitting of aggregator because of the driving behavior of EVs. In this paper, aggregator's DR capacity is studied under multiple scenarios with different facility conditions, different technologies (V2V) through a test case including 2 aggregators in business area and residential area respectively. Along the increasing of the no. of charging/discharging piles, aggregators' DR capability is increasing. There is an upper limit on its facility level due to the size of the EVs users group, above which, investment on piles is unnecessary. DR capabilities of aggregators at different locations are correlated when serving the same group of EV users because EV users are pursuing benefit maximization.
{"title":"On Aggregator's Demand Response Capability with Consideration of EV Battery's SOH","authors":"Zhipeng Jing, Hui Ren, Shiyao Hu, Yixin Wang, D. Watts, Bo Yuan","doi":"10.1109/POWERCON.2018.8602347","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602347","url":null,"abstract":"The electric vehicle (EV), when aggregated by an agent (Aggregator), is a suitable candidate for participating demand response in power system operation. This paper proposes a method for the calculation of the optimal charging and V2G decision through aggregator with consideration of the trade-off between EV users' charging willingness and cost, and trade-off between the capacity loss and revenue due to V2G. Following this optimal decision, EV users' charging/V2G capacity can be well predicted in advance. However, if EV users' order at aggregators can be 100% fulfilled depends on the facility level and technology of aggregators. Moreover, the aggregators' DR capability is also affected by the sitting of aggregator because of the driving behavior of EVs. In this paper, aggregator's DR capacity is studied under multiple scenarios with different facility conditions, different technologies (V2V) through a test case including 2 aggregators in business area and residential area respectively. Along the increasing of the no. of charging/discharging piles, aggregators' DR capability is increasing. There is an upper limit on its facility level due to the size of the EVs users group, above which, investment on piles is unnecessary. DR capabilities of aggregators at different locations are correlated when serving the same group of EV users because EV users are pursuing benefit maximization.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"4 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":"129064438","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.2018.8601807
Fang Zhao, Z. Du, Chuanyong Shao, Baorong Zhou
Due to the rectification and inversion links of frequency conversion module, the variable frequency motor has different load characteristics from the traditional motor, and with massive grid-connection of variable frequency motors, the grid is presenting new load characteristics. In this paper, specific models of variable frequency motor and the traditional asynchronous motor were built based on the MATLAB/Simulink simulation platform, and on that basis, we compared and analyzed the influence of voltage sag on their respective load characteristics, and their tolerance of voltage sag. During simulation of the load characteristics of variable frequency motor, the magnitude of voltage sag was used as the control variable to obtain and analyze the active power and reactive power curves under different voltages levels. Then, the grid system model was built to study the stability of power system under two different loads of variable frequency motor and asynchronous motor respectively, and discuss the influence of variable frequency motor on the security and stability of power grid. The simulation results show that under voltage sag, the active power and reactive power demands of variable frequency motor and asynchronous motor were different; after the voltage was recovered from the voltage sag, the active power demand of variable frequency motor was significantly higher than that of asynchronous motor. If the common asynchronous motor model is solely used for calculation of grid stability in the environment having large percentage of electronically connected loads, the results would be too optimistic.
{"title":"Modeling of Voltage Characteristics of Variable Frequency Motors and Comparison with Asynchronous Motors","authors":"Fang Zhao, Z. Du, Chuanyong Shao, Baorong Zhou","doi":"10.1109/POWERCON.2018.8601807","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601807","url":null,"abstract":"Due to the rectification and inversion links of frequency conversion module, the variable frequency motor has different load characteristics from the traditional motor, and with massive grid-connection of variable frequency motors, the grid is presenting new load characteristics. In this paper, specific models of variable frequency motor and the traditional asynchronous motor were built based on the MATLAB/Simulink simulation platform, and on that basis, we compared and analyzed the influence of voltage sag on their respective load characteristics, and their tolerance of voltage sag. During simulation of the load characteristics of variable frequency motor, the magnitude of voltage sag was used as the control variable to obtain and analyze the active power and reactive power curves under different voltages levels. Then, the grid system model was built to study the stability of power system under two different loads of variable frequency motor and asynchronous motor respectively, and discuss the influence of variable frequency motor on the security and stability of power grid. The simulation results show that under voltage sag, the active power and reactive power demands of variable frequency motor and asynchronous motor were different; after the voltage was recovered from the voltage sag, the active power demand of variable frequency motor was significantly higher than that of asynchronous motor. If the common asynchronous motor model is solely used for calculation of grid stability in the environment having large percentage of electronically connected loads, the results would be too optimistic.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"27 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":"129165014","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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