The power outputs of photovoltaic generators (PVs) are strongly random
and appreciably correlated in close proximity. The research on probabilistic load flow of distribution network mainly focuses on how to deal with correlated random variables. Nataf transformation is used to sample correlated non-normal random variables and the method of combining Nataf transformation with the point estimate method (PEM) is proposed to develop a new correlated probabilistic load flow method. Compared with the orthogonal transformation
Nataf transformation is able to reflect the changes of correlation coefficients in different sampling spaces
and therefore it is more accurate. The method is applied in a modified IEEE 33-bus test system with PVs integration for calculation of average relative errors in bus voltages. Compared with orthogonal transformation
the advantage of Nataf transformation is verified. Furthermore
a sensitivity analysis is made on three factors
the correlation coefficients of solar radiation
the load power fluctuation and different estimating points. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228203).
Day-ahead Spatio-Temporal Interaction Method of Electric Vehicles, Aggregators and Distribution Network for Photovoltaic Accommodation
Bi-level Voltage Regulation Strategy for Active and Reactive Power of Distribution Network with Hybrid Grid-forming/Grid-following Photovoltaic Inverters
Dynamic State Estimation for Distribution Network with Photovoltaic Based on Improved Cubature Kalman Filter
Optimal Configuration Scheme of Multi-staged Protection in Distribution Network for Integration of High Proportion of Distributed Photovoltaic
Distributionally Robust Optimization of Distribution Network Considering Distributed Generator Support and Agricultural Facility Coordination
Related Author
ZHANG Qiang
CAO Boran
LIU Hong
HAN Jun
CAI Chao
PAN Wenjie
FU Lida
JIA Qingquan
Related Institution
Key Laboratory of Smart Grid of Ministry of Education (Tianjin University)
Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co., Ltd.
Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University)
Langfang Power Supply Company, State Grid Jibei Electric Power Company Limited
Smart Distribution Network Center, State Grid Jibei Electric Power Company Limited