Open AccessHolomorphic embedding load flow for unbalanced radial distribution networks with DFIG and tap‐changer modelling
Author(s) -
Keihan Asl Dariush,
Mohammadi Mohammad,
Reza Seifi Ali
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6239
Subject(s) - admittance parameters , control theory (sociology) , admittance , induction generator , topology (electrical circuits) , generator (circuit theory) , computer science , flow (mathematics) , mathematical optimization , mathematics , engineering , voltage , electrical impedance , physics , power (physics) , geometry , control (management) , artificial intelligence , quantum mechanics , electrical engineering , combinatorics
In this study, the holomorphic‐embedding method as a linear and non‐iterative method is developed and implemented to solve the load flow of the three‐phase unbalanced radial distribution networks. Previously, this method was used to solve the load flow problem of balanced transmission networks. The proposed methodology could be applied for a variety of unbalanced radial distribution networks with any number of buses and branches. The characteristics of unbalanced radial distribution networks including line coupling effects, unbalanced loads and unsymmetrical phases are considered in this study. The proposed method uses an unbalanced network structure and modifies the calculation approach of the admittance matrix. In this manner, an unbalanced network is modelled the same as the balanced networks. The tap‐changer, doubly‐fed induction generator (DFIG), and photovoltaic system are modelled in the admittance matrix or current injection vector. The performance of the proposed method is validated on the 19‐bus unbalanced radial distribution network. Finally, the effectiveness of the proposed method in solving the load flow problem is investigated.