Open AccessImprovement of backward/forward sweep power flow method by using modified breadth‐first search strategy
Author(s) -
Alinjak Tomislav,
Pavić Ivica,
Stojkov Marinko
Publication year - 2017
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.2016.0566
Subject(s) - convergence (economics) , power flow , incidence matrix , reduction (mathematics) , mathematical optimization , algorithm , power (physics) , iterative method , flow (mathematics) , power flow study , voltage , computer science , matrix (chemical analysis) , mathematics , electric power system , control theory (sociology) , engineering , materials science , physics , geometry , quantum mechanics , structural engineering , electrical engineering , control (management) , artificial intelligence , node (physics) , economics , composite material , economic growth
This study presents an improvement of three phase backward/forward sweep (BFS) power flow calculation algorithm for radial distribution systems. BFS power flow method is an iterative method that is usually used for power flow calculations in distribution networks due to its convergence and easy applicability. The improvement of commonly used BFS method is based on using breadth‐first search method for creation of modified incidence matrix. Such incidence matrix ensures minimum number of searching for connections between nodes. The result is much faster algorithm without accuracy loss. The calculation duration is especially important for real time calculations in active management of distribution system. Reduction of calculation duration by the proposed method is especially expressed in power flow calculations of unbalanced radial networks such as low voltage networks. The proposed method is tested on several unbalanced distribution networks and compared with commonly used BFS method. Results show that the proposed algorithm is accurate and more efficient than compared method.