The third-order polynomial normal transformation(TPNT) technique was employed to transform a multivariate non-normal dependent random variables group into a multivariate standard normal independent one. Sampling points were obtained in the standard normal independent variable space and transformed into multivariate non-normal dependent ones. Incorporating three-point estimate method with TPNT technique, a TPNT-based three-point estimate method is proposed to solve probabilistic power flow problems with non-normal dependent variables. A case study on a slightly modified IEEE 118-bus system shows that, the proposed method has high accuracy and computational efficiency. It is a qualified tool to discuss the probabilistic power flow problems with non-normal dependent variables.
Probabilistic Power Flow Method Based on Arbitrary Probability Distribution Modeling and Improved Polynomial Chaos Expansion
Holomorphic Embedding Probabilistic Power Flow Calculation Method for AC/DC System Based on Polynomial Chaos Expansion
Expansion Planning of Active Distribution Network Considering High-dimensional Temporal Correlation Between Renewable Energy and Load
Related Author
LI Guoqing
JIANG Tao
ZHAO Shukang
LI Xue
LI Kemeng
LU Juanjuan
SHAN Xin
WANG Yi
Related Institution
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
NARI Technology Co., Ltd.
NARI Group Corporation(State Grid Electric Power Research Institute)
College of Energy and Electrical Engineering, Hohai University
Smart Grid Research Institute, Nanjing Institute of Technology