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A Novel Dynamic Index of Voltage Instability Expectation with Power System Contingency
Duy-Phuong N. Do,오웅진,이연찬,최재석,이병준 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.4
This paper proposes a novel dynamic voltage instability expectation index which takes into account dynamic voltage stability characteristics, the long-term phenomena and probability state of power system contingency. This index is a meter to measure the general robust power system under critical cases which are identifi ed by contingency analysis. The critical contingencies are precisely analyzed by steady-state power load fl ow in perturbations to fi gure out violation cases, the weakness of the power system. The probability states of each of violation cases are calculated through availability and unavailability values of devices. The degree of voltage instability is estimated newly by the smallest determinant of dynamic load fl ow Jacobian matrix in evolution time of power system simulation. The variables of dynamic devices such as under load tap changer of the transformer, excitation limiters of generator unit, aff ected on a long-term characteristic of the power system, are considered in dynamic load fl ow Jacobian matrix. Combining the voltage instability rate and the probability state, a novel index, namely voltage instability expectation in dynamic index, is proposed. This index refl ects the mutual correlation between the voltage instability rate and probable contingency cases which result in either voltage violation, overload fl ow, or voltage instability. The new index is demonstrated in IEE 9-bus test system and actual Vietnam power system. It should be a new measure to make a decision of transmission system expansion planning.
Hourly Average Wind Speed Simulation and Forecast Based on ARMA Model in Jeju Island, Korea
Do, Duy-Phuong N.,Lee, Yeonchan,Choi, Jaeseok The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.6
This paper presents an application of time series analysis in hourly wind speed simulation and forecast in Jeju Island, Korea. Autoregressive - moving average (ARMA) model, which is well in description of random data characteristics, is used to analyze historical wind speed data (from year of 2010 to 2012). The ARMA model requires stationary variables of data is satisfied by power law transformation and standardization. In this study, the autocorrelation analysis, Bayesian information criterion and general least squares algorithm is implemented to identify and estimate parameters of wind speed model. The ARMA (2,1) models, fitted to the wind speed data, simulate reference year and forecast hourly wind speed in Jeju Island.
Hourly Average Wind Speed Simulation and Forecast Based on ARMA Model in Jeju Island, Korea
Duy-Phuong N. Do,Yeonchan Lee,Jaeseok Choi 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.6
This paper presents an application of time series analysis in hourly wind speed simulation and forecast in Jeju Island, Korea. Autoregressive – moving average (ARMA) model, which is well in description of random data characteristics, is used to analyze historical wind speed data (from year of 2010 to 2012). The ARMA model requires stationary variables of data is satisfied by power law transformation and standardization. In this study, the autocorrelation analysis, Bayesian information criterion and general least squares algorithm is implemented to identify and estimate parameters of wind speed model. The ARMA (2,1) models, fitted to the wind speed data, simulate reference year and forecast hourly wind speed in Jeju Island.
소규모 전력계통에서 풍력발전기와 결합한 BESS의 기여도 평가
오웅진(Ungjin Oh),이연찬(Yeonchan Lee),도응우옌데풍(Duy-Phuong N. Do),최재석(Jaeseok Choi),장병훈(Byunghoon Chang) 대한전기학회 2016 대한전기학회 학술대회 논문집 Vol.2016 No.5
This paper presents a study on reliability assessment and new contribution function development of power system including Wind Turbine Generator(WTG) combined with Battery Energy Storage System(BESS). The methodology of reliability assessment, using Monte Carlo Simulation(MCD) method to simulate sample state duration, is proposed in detail. Using small size system as similar as Jeju island power system, a cas study of reliability evaluation and new proposed contribution function of power system containing WTG combined with BESS is demonstrated in this paper.