A Linear Branch Flow Model for Radial Distribution Networks and Its Application to Reactive Power Optimization and Network Reconfiguration

This article presents a cold-start linear branch flow model named modified DistFlow. In modified DistFlow, the active and reactive power are replaced by their ratios to voltage magnitude as state variables, so that errors introduced by conventional branch flow linearization approaches due to their c...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2021-05, Vol.12 (3), p.2027-2036
Main Authors: Yang, Tianshu, Guo, Ye, Deng, Lirong, Sun, Hongbin, Wu, Wenchuan
Format: Article
Language:English
Subjects:
Analytical models
Cold flow
Cold starts
cold-start model
Computational modeling
Distribution network
Electric potential
Load flow
Mathematical model
Mixed integer
network reconfiguration
Optimization
Power flow
power flow analysis
Quadratic programming
Radial distribution
Reactive power
reactive power optimization
Reconfiguration
Sun
Voltage
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Summary:This article presents a cold-start linear branch flow model named modified DistFlow. In modified DistFlow, the active and reactive power are replaced by their ratios to voltage magnitude as state variables, so that errors introduced by conventional branch flow linearization approaches due to their complete ignoring of network loss terms are reduced. Based on the path-branch incidence matrix, branch power flows and nodal voltage magnitudes can be written in succinct matrix forms. Subsequently, the proposed modified DistFlow model is applied to the problem of reactive power optimization and network reconfiguration, transforming it into a mixed-integer quadratic programming (MIQP). Simulations show that the proposed modified DistFlow has a better accuracy than existing cold-start linear branch flow models, and the resulting MIQP model for reactive power optimization and network reconfiguration is much more computationally efficient than existing benchmarks.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2020.3039984