Open AccessAffine-Type Model of Variable Renewable Energy and Its Application in the Uncertain Power Flow
Author(s) -
Gengye Huang,
Zhenguo Shao,
Yan Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1639/1/012022
Subject(s) - affine transformation , affine arithmetic , iterative method , computer science , renewable energy , mathematical optimization , variable (mathematics) , monte carlo method , newton's method , type (biology) , power flow , electric power system , power (physics) , algorithm , mathematics , nonlinear system , statistics , engineering , mathematical analysis , physics , quantum mechanics , pure mathematics , electrical engineering , ecology , biology
The intermittent variable renewable energy (VRE) results in uncertainty in distribution networks, and the existing affine iterative algorithm cannot consider the characteristics of VRE. To deal with such issues, an affine-type model of VRE considering its regulation characteristics was proposed in this paper. Furthermore, an alternating iterative algorithm based on Newton-Raphson iterative algorithm was proposed, which can consider both power flow equations and the VRE models. Finally, the effectiveness of the affine-type model of VRE and the affine iterative algorithm were evaluated on the modified IEEE 33-bus system and PG&E 69-bus system. The simulation results showed that the proposed method has sufficient completeness and slight conservativeness. Moreover, the proposed method with VRE models is superior over Monte Carlo method, particularly in terms of calculation burden.