Optimal Real-Time Scheduling of Energy Storage Systems to Accommodate PV Generation in Distribution Networks

Jiayong Li, Jian Zhao, Zhao Xu

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

Abstract

The increasing penetration of renewables in the distribution networks (DN) can cause severe operation constraint violations, such as voltage violation and branch line overload. To deal with the significant variability of renewables like photovoltaic (PV), a novel real-time scheduling (RTS) approach for energy storage systems (ESSs) in distribution networks is proposed in this paper. The distribution network operators (DNO) dispatch the PV, ESS and the substation together to minimized the weighted cost and ensure the security of system operation. The AC OPF in DN is formulated as a second-order cone programming (SOCP) problem where we can obain the global optimal solution using some off-the-shelf solvers. Case studies on 37-bus system demonstrate the effectiveness of the proposed approach as well as the exactness of the relaxation.

Original languageEnglish
Title of host publicationInternational Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
EditorsQuan Hao, Anurag Sharma
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1289-1293
Number of pages5
ISBN (Electronic)9781538642917
DOIs
Publication statusPublished - 18 Sep 2018
Event2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 - Singapore, Singapore
Duration: 22 May 201825 May 2018

Publication series

NameInternational Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

Conference

Conference2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Country/TerritorySingapore
CitySingapore
Period22/05/1825/05/18

Keywords

  • Active distribution network
  • energy storage system
  • photovoltaic
  • second-order cone programming

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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