A two-layer active power control scheme in a DC grid for contingency situation

Yujun Li, Zhao Xu

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

Abstract

A two-stage active power control scheme by droop-controlled DC grids for energy internet system when one converter is out of operation is proposed in this paper. In the first layer, the DC-link voltage of each DC terminal is analytically deduced according to the analytical power flow model in a meshed DC grid to make sure power support during the contingency situation. However, in the second layer, it can alter the concerned control parameters including the power set points and DC droops based on the DC-link voltage calculated in the former layer. The proposed hierarchical scheme can fast track the power change during the contingency situation such as loss of one converter. A typical four-terminal DC grid was modeled and verified in the DIgSILENT/PowerFactory to illustrate the two-laryer scheme.

Original languageEnglish
Title of host publication2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538614273
DOIs
Publication statusPublished - 28 Jun 2017
Event2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Beijing, China
Duration: 27 Nov 201728 Nov 2017

Publication series

Name2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017
Country/TerritoryChina
CityBeijing
Period27/11/1728/11/17

Keywords

  • Contingency situation
  • DC droop
  • Energy Internet
  • power flow

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Control and Optimization

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