A Market Framework for Decentralized Congestion Management in Smart Distribution Grids Considering Collaboration among Electric Vehicle Aggregators

Arash Asrari, Meisam Ansari, Javad Khazaei, Poria Fajri

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

This paper proposes a day-ahead market framework for congestion management in smart distribution networks. The presented scheme provides a platform for collaboration between distribution-level market operator (DMO) and data traffic operator (DTO) to alleviate congested feeders such that data transmission traffic between market participants is effectively managed in a smart grid. In addition, a decentralized mechanism is developed for collaboration of electric vehicle (EV) aggregators with common clients to take advantage of EVs not only as flexible loads but also as mobile distributed storage (MDS) for congestion management. Moreover, the proposed framework outlines an administrative action for distribution system operator (DSO) to support the market when the decentralized competitions among distributed generation (DG) aggregators and EV aggregators do not fully relieve a serious congestion. The proposed day-ahead congestion management scheme is validated on an unbalanced 136-bus distribution system massively integrated with wind turbine DGs (WTDGs), photovoltaic DGs (PVDGs), diesel-engine DGs (DEDGs), and EVs.

Original languageEnglish (US)
Article number8786152
Pages (from-to)1147-1158
Number of pages12
JournalIEEE Transactions on Smart Grid
Volume11
Issue number2
DOIs
StatePublished - Mar 2020

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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