English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The adoption of distributed energy resources such as photovoltaics (PVs) hasincreased dramatically during the previous decade. The increased penetration ofPVs into distribution networks (DNs) can cause voltage fluctuations that haveto be mitigated. One of the key utility assets employed to this end arestep-voltage regulators (SVRs). It is desirable to include tap selection ofSVRs in optimal power flow (OPF) routines, a task that turns out to bechallenging because the resultant OPF problem is nonconvex with addedcomplexities stemming from accurate SVR modeling. While several convexrelaxations based on semi-definite programming (SDP) have been presented in theliterature for optimal tap selection, SDP-based schemes do not scale well andare challenging to implement in large-scale planning or operational frameworks.This paper deals with the optimal tap selection (OPTS) problem forwye-connected SVRs using linear approximations of power flow equations.Specifically, the $\textit{LinDist3Flow}$ model is adopted and the effectiveSVR ratio is assumed to be continuous--enabling the formulation of a problemcalled $\textit{LinDist3Flow-OPTS}$, which amounts to a linear program. Thescalability and optimality gap of $\textit{LinDist3Flow-OPTS}$ are evaluatedwith respect to existing SDP-based and nonlinear programming techniques foroptimal tap selection in three standard feeders, namely, the IEEE 13-bus,123-bus, and 8500-node DNs. For all DNs considered,$\textit{LinDist3Flow-OPTS}$ achieves an optimality gap of approximately $1\%$or less while significantly lowering the computational burden.

Assessing the Optimality of LinDist3Flow for Optimal Tap Selection of Step Voltage Regulators in Unbalanced Distribution Networks