TSO and DSO with large-scale distributed energy resources: A security constrained unit commitment coordinated solution

Aamir Nawaz, Hongtao Wang*, Qiuwei Wu, Manesh Kumar Ochani

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Modern power system requires optimally coordinated operation between transmission and distribution systems due to large-scale integration of distributed energy resources (DERs). Commonly, transmission system operator (TSO) solves its own cost optimization problem and evaluates required targets for each distribution system operator (DSO). Thus, TSO problem becomes more complex and highly scaled with increase in number of connected distribution systems, which requires more computational time and resources. Therefore, this paper proposed a method to reduce computational burden on TSO and solve coordinated security constrained unit commitment (C-SCUC) problem by involving a coordinator in upper level hierarchy. Coordinator is required to solve system-wide problem to adjust targets for transmission system (TS) and all distribution systems (DS). Besides, TSO and DSO only need to solve their own cost optimization problems. In this paper, we have proposed analytical target cascading (ATC) along with hybridized particle swarm optimization with differential evolution (PSO-DE) for solving increased complexity of the coordinated problem. ATC provides coordination between transmission and distribution sections of power system while hybrid PSO-DE provides better accuracy of optimization in ATC layers. For evaluation of efficacy of proposed method, this paper has taken IEEE 118-bus system as TS and IEEE 33-bus system as DS. Results has depicted that proposed method could help TSO in reducing computational resources and improving computational time.

Original languageEnglish
Article numbere12233
JournalInternational Transactions on Electrical Energy Systems
Volume30
Issue number3
ISSN1430-144X
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • analytical target cascading
  • differential evolution
  • distribution system
  • particle swarm optimization
  • transmission system
  • TSO-DSO coordination

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