An Uncertainty involved Optimization Model of Renewable Hosting Capacity Enhancement

Xu Xu, Jiayong Li, Youwei Jia, Zhao Xu, Jian Zhao, Xue Lyu

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


Renewable hosting capacity normally serves as an important real-time operational index for assessing the capability of accommodating renewables in a distribution network (DN). This paper proposes a two-stage operation model to coordinate energy storage system (ESS) and static var compensator (SVC) to avoid violations of voltage magnitude and line capacity caused by intermittent renewables so as to enhance the renewable hosting capacity. This model comprehensively considers the uncertainties involved in photovoltaic (PV), wind generation and electrical load demand in the first stage and real-time operation states in the second stage. Furthermore, to improve the computational efficiency, a Benders decomposition based solution method is developed to tackle the time-coupling constraints at the first-stage optimization problem. The effectiveness of the proposed model and solution method are demonstrated through case studies on IEEE 33-bus distribution system.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
Publication statusPublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: 4 Aug 20198 Aug 2019

Publication series

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


Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States


  • a two-stage operation model
  • Benders decomposition
  • distribution network
  • Renewable hosting capacity
  • uncertainties

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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