A Novel Unscented Transformation-Based Framework for Distribution Network Expansion Planning Considering Smart EV Parking Lots

Alireza Zare, C. Y. Chung, Benyamin Khorramdel, Nima Safari, Sherif Omarfaried

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Public parking lots equipped with electric vehicle (EV) charging facilities place huge power demands on distribution networks. These huge demands, if not carefully considered at the planning stage, can create several operational problems. To address this issue, this paper proposes a novel distribution network expansion planning framework, which gives full consideration to the charging power demands of large EV parking lots. This framework provides several alternatives for construction/reinforcement of feeders and substations, while taking all the necessary constraints into account. Furthermore, the unscented transformation (UT) method is employed to model the uncertainties of load demands and EV parking lot demands. The ability of the UT method to accurately model correlated uncertain parameters makes it highly applicable in the context of distribution network expansion planning, where considerable correlated uncertainties exist. The proposed UT-based framework is formulated as a mixed-integer linear programming (MILP) problem, which can be solved using off-the-shelf mathematical programming solvers that guarantee convergence to the global optimal solution. A 24-node distribution system is used to verify the effectiveness of the proposed methodology.

Original languageEnglish
Title of host publication2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538624104
DOIs
Publication statusPublished - 27 Aug 2018
Externally publishedYes
Event2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 - Quebec City, Canada
Duration: 13 May 201816 May 2018

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2018-May
ISSN (Print)0840-7789

Conference

Conference2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
Country/TerritoryCanada
CityQuebec City
Period13/05/1816/05/18

Keywords

  • Distribution expansion planning (DEP)
  • Electric vehicle (EV)
  • Mixed-integer linear programming (MILP)
  • Smart parking lot
  • Unscented transformation (UT)

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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