Congestion management in smart grids using virtual power plants as flexible resources

Min Junhua, H. S.V.Sivanand Kumar, Dipti Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

As global demand for energy continues to grow and electricity assets are aging, one of the challenges is to meet the energy demand without causing too much stress on the power system. Congestion occurs when transmission capacity is not sufficient to accommodate system constraints to meet the energy demand. This study aims to investigate how a virtual power plant (VPP), including solar photovoltaic (PV) generation and energy storage capacity, can help to alleviate congestion. In this paper, locational marginal price (LMP) is used as economic indicator to quantity the cost of congestion, the difference in LMP between two connected buses indicates the degree of congestion. After identifying the congested lines, a power flow sensitivity analysis is carried out to identify nodes that have the most impacts on those congested lines. Solar PV and energy storage is optimally installed in those nodes to manage congestion. The effectiveness of the proposed method is tested on IEEE 14-bus system.

Original languageEnglish
Title of host publication2017 IEEE Innovative Smart Grid Technologies - Asia
Subtitle of host publicationSmart Grid for Smart Community, ISGT-Asia 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538649503
DOIs
Publication statusPublished - Jun 8 2018
Event7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017 - Auckland, New Zealand
Duration: Dec 4 2017Dec 7 2017

Publication series

Name2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017

Conference

Conference7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017
CountryNew Zealand
CityAuckland
Period12/4/1712/7/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Safety, Risk, Reliability and Quality

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