Load Transfer Optimization Considering Hot-Spot and Top-Oil Temperature Limits of Transformers

Chao Lei, Siqi Bu, Qianggang Wang, Niancheng Zhou, Longjie Yang, Xiaofu Xiong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

This paper proposes a load transfer optimization (LTO) model involving hot-spot temperature (HST) and top-oil temperature (TOT) limits of transformers. This work aims to address the overload problem and transformer HST and TOT excursions via LTO. First, the equivalent thermal model for the HST and TOT of transformers under external cooling conditions are discussed, and then the corresponding linearized HST and TOT constraints with varied thermal resistances are derived using the discretization method. Moreover, the proposed LTO model is formulated on the reconfigurable topology of high voltage distribution networks (HVDNs) in China. This proposed LTO model can achieve the optimal network reconfiguration scheme subject to temperature limits and system operation constraints, with the least switching operation cost and the maximum margins of reactive power exchange between HVDNs and transmission systems. Finally, the effectiveness of the proposed LTO model is validated by the modified IEEE-14 node system and the practical HVDNs in China.

Original languageEnglish
Pages (from-to)2194-2208
Number of pages15
JournalIEEE Transactions on Power Delivery
Volume37
Issue number3
DOIs
Publication statusPublished - 1 Jun 2022

Keywords

  • Load transfer optimization
  • reconfigurable topology
  • top-oil and hot-spot temperature limits

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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