Stochastic security-constrained optimal power flow for a microgrid considering tie-line switching

Daichen Liu, Cuo Zhang*, Guo Chen, Yan Xu, Zhao Yang Dong

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

19 Citations (Scopus)

Abstract

With the rapid development of microgrid, its tie-line switching from grid-connected to islanded mode is a topic worth discussing for considering both main grid resilience and microgrid security. In this paper, a stochastic security-constrained optimal power flow (OPF) method is proposed to deal with these conditions under high uncertainties. Firstly, a linear load flow model and a backward forward sweep algorithm are applied to present microgrid power flow with reduced computing burdens. Secondly, with consideration of tie-line switching from grid-connected to islanded operation mode, a security-constrained OPF problem for a microgrid is proposed to minimize operating cost and by optimizing microturbine setpoints and load shedding coefficient. To promise stable islanded operation after disconnection from the main grid, a Benders decomposition method is developed to decouple the OPF problem into a grid-connected master problem and an islanded sub-problem and then solve them iteratively with Benders cuts to guarantee microgrid security after tie-line switching. Last, a stochastic optimization method with probabilistic modelling is adopted to address the uncertainty issue caused by renewable energy sources and loads. The proposed stochastic security-constrained OPF method has been verified with high computing efficiency and robust security via comprehensive numerical simulations. © 2021 Elsevier Ltd.
Original languageEnglish
Article number107357
JournalInternational Journal of Electrical Power and Energy Systems
Volume134
Online published13 Jul 2021
DOIs
Publication statusPublished - Jan 2022
Externally publishedYes

Research Keywords

  • Benders decomposition
  • Microgrid
  • Optimal power flow
  • Stochastic optimization
  • System security
  • Tie-line switching

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