Assessment of daily cost of reactive power procurement by smart inverters

Journal Article (2021)
Author(s)

Martha N. Acosta (University of South-Eastern Norway, Autonomous University of Nuevo León)

Francisco González-Longatt (University of South-Eastern Norway)

Manuel Andrade (Autonomous University of Nuevo León)

Jose Luis Rueda Torres (TU Delft - Intelligent Electrical Power Grids)

Harold R. Chamorro (KTH Royal Institute of Technology)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2021 Martha N. Acosta, Francisco Gonzalez-Longatt, Manuel A. Andrade, José L. Rueda, Harold R. Chamorro
DOI related publication
https://doi.org/10.3390/en14164834
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Martha N. Acosta, Francisco Gonzalez-Longatt, Manuel A. Andrade, José L. Rueda, Harold R. Chamorro
Research Group
Intelligent Electrical Power Grids
Issue number
16
Volume number
14
Pages (from-to)
1-11
Reuse Rights

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Abstract

The reactive power control mechanisms at the smart inverters will affect the voltage profile, active power losses and the cost of reactive power procurement in a different way. Therefore, this paper presents an assessment of the cost–benefit relationship obtained by enabling nine different reactive power control mechanisms at the smart inverters. The first eight reactive power control mechanisms are available in the literature and include the IEEE 1547−2018 standard requirements. The ninth control mechanism is an optimum reactive power control proposed in this paper. It is formulated to minimise the active power losses of the network and ensure the bus voltages and the reactive power of the smart inverter are within their allowable limits. The Vestfold and Telemark distribution network was implemented in DIgSILENT PowerFactory and used to evaluate the reactive power control mechanisms. The reactive power prices were taken from the default payment rate document of the National Grid. Simulation results demonstrate that the optimal reactive power control mechanism provides the best cost–benefit for the daily steady-state operation of the network.