Loss Locational Sensitivity in Distribution Systems

Alburidy, Abdullah; Fan, Lingling

doi:10.1109/naps46351.2019.9000389

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Nodal Sensitivity Factors (Nsfs)1

Distribution Systems Vvo Model1

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2021

2022

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Cited by 2 publications

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“…The control variables in this case are both active and reactive power change. In [46]- [49], NSFs are computed considering peak demand at a particular node. This can also be extended to accommodate time-series analysis with a given consumption profile [50].…”

Section: Nodal Sensitivity Factors (Nsfs)mentioning

confidence: 99%

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Abujubbeh

Natarajan

2022

IEEE Access

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Section: Nodal Sensitivity Factors (Nsfs)mentioning

confidence: 99%

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Abujubbeh

Natarajan

2022

IEEE Access

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“…Here in the presented formulation, a fictitious node (a dummy node) m with a fictitious variable V s is assigned on the secondary side of the transformer to relates the relationship of voltage and power flow between the LTC and its associated distribution branch. The presumed ideal transformer has no power losses between its terminal nodes i and m 26‐28 . The voltage ratio of the secondary‐side m to the primary‐side i is equal to the transformer turns ratio

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, and the voltage angles of both nodes are the same.…”

Section: Distribution Systems Vvo Modelmentioning

confidence: 99%

An alternating direction method of multipliers ‐based approach to solve mixed‐integer nonlinear volt/var optimization problems in distribution systems

Alburidy

Fan

2021

Int Trans Electr Energ Syst

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Summary This paper presents a tailored version of the alternating direction method of multipliers to achieve a centralized voltage and VAR optimization (VVO) in the electric distribution system. The adopted VVO model is a mixed‐integer nonlinear optimization problem derived from the generic optimal power flow problem. A novel generalized and decomposable version of the VVO model is developed first to establish the proposed approach. The approach accounts for load tap‐changers and switchable capacitor banks for illustration. However, it can be expanded to a broad range of controllable VVO equipment with discrete/integer settings. The approach performance is validated on different distribution networks. Results are compared with current leading heuristic approaches used to solve nonconvex mixed‐integer nonlinear problems such as the Branch‐and‐Bound method. Furthermore, a comparison vs the branch flow model‐based mixed integer second‐order conic programming model is conducted to illustrate the proposed model's advantages. Moreover, to benchmark the proposed approach optimality, a direct search scheme is developed to capture guaranteed globally optimal results. Experiments show the superiority of the proposed approach with noteworthy convergence rates and promising optimal solution allocation.

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Loss Locational Sensitivity in Distribution Systems

Cited by 2 publications

References 11 publications

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

An alternating direction method of multipliers ‐based approach to solve mixed‐integer nonlinear volt/var optimization problems in distribution systems

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