Tobias Massier
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Weather-Dependent AC Power Flow Algorithms

Publication data

Type:
Conference paper
Authors:
Arif Ahmed, Tobias Massier, Fiona Stevens McFadden and Ramesh Rayudu
Published in:
Proceedings of the 2020 IEEE Industry Applications Society Annual Meeting
(Electronic ISBN: 978-1-7281-7192-0, Print-on-demand ISBN: 978-1-7281-7193-7)
Publisher:
Institute of Electrical and Electronics Engineers (IEEE), New York (New York, United States of America)
Publication date:
October 2020
Pages:
1–8
Conference:
Conference location:
Online, Detroit (Michigan, United States of America)
Conference dates:
10 October 2020 – 16 October 2020
Abstract:
The weather-dependent power flow (WDPF) algorithm performs more accurate power flow analysis (PFA) due to the utilisation of the heat balance model of conductors. It is explicitly parameterised in terms of typically available measured weather parameters (ambient temperature, solar irradiance, wind speed, and wind angle) and performs more accurate (PFA) due to the utilisation of the heat balance model of conductors. It is presented in rectangular form in the extant literature. The WDPF algorithm accurately estimates the branch resistances, the system states (current and voltages), the power losses, the branch flows, and the branch loadings via PFA. In this manuscript, we propose and investigate a group of weather-dependent AC power flow algorithms. Namely, the partially decoupled WDPF, the fast decoupled WDPF, and the sequential WDPF algorithm. In addition, we also present the derivation of the WDPF algorithm in polar form. An analysis of the convergence characteristic and the computational complexity of the proposed algorithms is presented via extensive simulations.
Keywords:
Power flow analysis, Power system modelling, Weather-dependent power flow
DOI:

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Format: 
@inproceedings{Ahmed_WeatherDependentACPower_2020,
  author    = {Ahmed, Arif and Massier, Tobias and Stevens McFadden, Fiona and Rayudu, Ramesh},
  title     = {Weather-Dependent {AC} Power Flow Algorithms},
  year      = {2020},
  month     = oct,
  booktitle = {Proceedings of the 2020 IEEE Industry Applications Society Annual Meeting},
  isbn      = {978-1-7281-7192-0},
  publisher = {IEEE},
  address   = {Detroit, MI, US},
  pages     = {1--8},
  doi       = {10.1109/IAS44978.2020.9334814},
  keywords  = {Power flow analysis, Power system modelling, Weather-dependent power flow},
}
@inproceedings{Ahmed_WeatherDependentACPower_2020,
  author    = {Ahmed, Arif and Massier, Tobias and Stevens McFadden, Fiona and Rayudu, Ramesh},
  title     = {Weather-Dependent {AC} Power Flow Algorithms},
  date      = {2020-10},
  booktitle = {Proceedings of the 2020 IEEE Industry Applications Society Annual Meeting},
  isbn      = {978-1-7281-7192-0},
  publisher = {IEEE},
  location  = {Detroit, MI, US},
  pages     = {1--8},
  doi       = {10.1109/IAS44978.2020.9334814},
  keywords  = {Power flow analysis, Power system modelling, Weather-dependent power flow},
}
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