TY - JOUR
T1 - An Interval Model to Analyze the Voltage Levels of Uncertainty in Distribution Network
AU - Chen, Pengwei
AU - Tao, Shun
AU - Xiao, Xiangning
AU - Wang, Xuhui
AU - Tang, Guangfu
N1 - Publisher Copyright:
© 2018 Chin. Soc. for Elec. Eng.
PY - 2018/2/20
Y1 - 2018/2/20
N2 - In order to quantitatively assess the influence boundary of uncertainties on node voltage under the uncertainty of distribution network operating status, a new analysis model with interval linear regression was proposed in this paper from the perspective of the linear quantitative description. To obtain the model parameters defined as the voltage influence intervals, an analysis sample collection was conducted by the interval-affine power flow and virtual expected operating point. Then, according to the different requirements of interval linear regression, two kinds of parameter solving models based on quadratic programming and stochastic programming were established respectively. The verification results based on IEEE 33-bus test system and practical 113-bus system demonstrate the validity of interval linear analysis model and its solution method. The proposed model has an excellent performance and be of high accuracy in assessing the influence boundary of uncertainties on node voltage under the uncertainty of operating status.
AB - In order to quantitatively assess the influence boundary of uncertainties on node voltage under the uncertainty of distribution network operating status, a new analysis model with interval linear regression was proposed in this paper from the perspective of the linear quantitative description. To obtain the model parameters defined as the voltage influence intervals, an analysis sample collection was conducted by the interval-affine power flow and virtual expected operating point. Then, according to the different requirements of interval linear regression, two kinds of parameter solving models based on quadratic programming and stochastic programming were established respectively. The verification results based on IEEE 33-bus test system and practical 113-bus system demonstrate the validity of interval linear analysis model and its solution method. The proposed model has an excellent performance and be of high accuracy in assessing the influence boundary of uncertainties on node voltage under the uncertainty of operating status.
KW - Distribution network
KW - Interval linear regression
KW - Quadratic programming
KW - Stochastic programming
KW - Uncertain impact
UR - https://www.scopus.com/pages/publications/85046839220
U2 - 10.13334/j.0258-8013.pcsee.162273
DO - 10.13334/j.0258-8013.pcsee.162273
M3 - 文章
AN - SCOPUS:85046839220
SN - 0258-8013
VL - 38
SP - 1035
EP - 1044
JO - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
JF - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
IS - 4
ER -