Node identification for placing EVs and PAs in a distribution network

Venkata Ramana Kasi, Kannan Thirugnanam, Praveen Kumar, Somanath Majhi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Voltage support to the Distribution Node (DN) is necessary requirement due to fluctuations of time varying reactive load. The Photovoltaic's Arrays (PAs) and Electric Vehicles (EVs) provide active and reactive power support to DN. Voltage support can be achieved at DN node from RES and EVs. In this paper, coordination of EVs and PAs are integrated with DN to improve the voltage profile. The coordination can be achieved by providing active and reactive power support through PAs and the EVs charge/discharge (support/inject) based on the node voltage. The bulk numbers of EVs are connected to the DN through point of common coupling (PCC) which is called as Charging Station (CS). Many PAs are used to generate power for DN support; it's known as DN Supporting Point (DNSP). The main focus of this work is to predict the most accurate location of CS and DNSP. A 33kV Distribution System (DS) of Guwahati city is modeled in MATLAB Simulink environment with four types of active and reactive load profiles. Typical DS having 48 nodes, the CS and DNSP are connected in each node of the DS. To control the power flow of the CS and DNSP, fuzzy based control strategies and optimal aggregator has been implemented. Also, probability distribution function has been used to find the scheduled arrival of EVs at CS. Voltage, power and energy of the CS and DNSP are compared.

Original languageEnglish
Title of host publication2014 IEEE PES General Meeting / Conference and Exposition
PublisherIEEE Computer Society
EditionOctober
ISBN (Electronic)9781479964154
DOIs
StatePublished - Oct 29 2014
Externally publishedYes
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Publication series

NameIEEE Power and Energy Society General Meeting
NumberOctober
Volume2014-October
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2014 IEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CityNational Harbor
Period07/27/1407/31/14

Keywords

  • charging station
  • distribution node
  • electric vehicles
  • photovoltaic arrays
  • probability distribution function

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