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RISS 인기검색어
- 검색키워드
- 저자 : Pei Xiping (검색결과 4 건)
- 무료
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- 유료
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Wei CHEN,Hongqiang YAN,Xiping PEI 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.5
Since there are multiple random variables in the probabilistic load flow (PLF) calculation of distribution system containing distributed generation (DG) and electric vehicle charging load (EVCL), a Monte Carlo method based on composite sampling method is put forward according to the existing simple random sampling Monte Carlo simulation method (SRS-MCSM) to perform probabilistic assessment analysis of voltage quality of distribution system containing DG and EVCL. This method considers not only the randomness of wind speed and light intensity as well as the uncertainty of basic load and EVCL, but also other stochastic disturbances, such as the failure rate of the transmission line. According to the different characteristics of random factors, different sampling methods are applied. Simulation results on IEEE9 bus system and IEEE34 bus system demonstrates the validity, accuracy, rapidity and practicability of the proposed method. In contrast to the SRSMCSM, the proposed method is of higher computational efficiency and better simulation accuracy. The variation of nodal voltages for distribution system before and after connecting DG and EVCL is compared and analyzed, especially the voltage fluctuation of the grid-connected point of DG and EVCL.
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CHEN, Wei,YAN, Hongqiang,PEI, Xiping The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.5
Since there are multiple random variables in the probabilistic load flow (PLF) calculation of distribution system containing distributed generation (DG) and electric vehicle charging load (EVCL), a Monte Carlo method based on composite sampling method is put forward according to the existing simple random sampling Monte Carlo simulation method (SRS-MCSM) to perform probabilistic assessment analysis of voltage quality of distribution system containing DG and EVCL. This method considers not only the randomness of wind speed and light intensity as well as the uncertainty of basic load and EVCL, but also other stochastic disturbances, such as the failure rate of the transmission line. According to the different characteristics of random factors, different sampling methods are applied. Simulation results on IEEE9 bus system and IEEE34 bus system demonstrates the validity, accuracy, rapidity and practicability of the proposed method. In contrast to the SRS-MCSM, the proposed method is of higher computational efficiency and better simulation accuracy. The variation of nodal voltages for distribution system before and after connecting DG and EVCL is compared and analyzed, especially the voltage fluctuation of the grid-connected point of DG and EVCL.
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Chen Wei,Zhang Lei,Pei Xiping 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
Traditional deterministic power fl ow analysis does not take into account the randomness of the charging load due to electric vehicles. In order to accurately assess the impact of charging load on the voltage quality of a distribution network, we present a method of evaluating the probability of excessive voltage in a distribution network with an uneven charging electric vehicle load, based on Latin hypercube sampling. First, we establish a probability model of uneven charging load of an electric vehicle, and construct a sample matrix for the uneven charging scenario using Latin hypercube sampling. The dynamic probability distribution of the voltage across the nodes is obtained using a probabilistic power fl ow calculation and non-parametric kernel density estimation to realize a probability assessment of the voltage quality of the distribution network. Finally, a simulation analysis using an IEEE 30-node system shows that the proposed method is accurate and eff ective
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Sun Xuebo,Chen Wei,Wei Zhanhong,Shi Jinhui,Pei Xiping 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.5
The subsynchronous oscillation power caused by large-scale wind power connection to the grid and the large-scale propagation of oscillation energy in the grid leads to system power fluctuations and may result in grid cascading accidents. This paper proposes a quantitative analysis method for the propagation and distribution characteristics of the oscillation power. First, the manifestation and formation mechanism of subsynchronous oscillation power is studied based on instantaneous power theory. Second, two quantitative indicators, namely the oscillating power node propagation intensity and branch transfer coefficient, are proposed to characterize the oscillating power propagation characteristics. Analysis of the oscillating power propagation characteristics and their influencing factors shows that the frequency of the oscillating power is the frequency of the system power frequency minus that of the oscillating current. The two quantitative indicators provide an effective method for locating the critical nodes and identifying the propagation path of the oscillating power propagation. Finally, simulations are conducted to verify the accuracy of the theoretical analysis and demonstrate the validity of the proposed quantitative analysis method.
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