MPC-Based Local Voltage Control Strategy of DGs in Active Distribution Networks

Peng Li, Jie Ji, Haoran Ji, Jie Jian, Fei Ding, Jianzhong Wu, Chengshan Wang

Research output: Contribution to journalArticlepeer-review

66 Scopus Citations

Abstract

The increasing penetration of distributed generators (DGs) exacerbates the voltage violations in active distribution networks (ADNs). The commonly used centralized voltage control may aggravate the burden of computation and communication. Local voltage control can realize fast response to frequent voltage fluctuations. However, effective local control for DGs still needs to be further investigated. In this paper, a model predictive control (MPC)-based local voltage control strategy of DGs is proposed to cope with voltage violation problems and enhance the adaptation to the DG volatility. DGs are regulated with local Q-V control curves to respond to voltage fluctuations rapidly. Based on the dynamic network partition, a unified control curve for DGs is set in the same area to realize efficient operation. To further improve the performance of voltage control, the parameter tuning of control curves is regularly conducted based on decentralized inter-area coordination with the rolling of the control horizon. Finally, case study is verified on the modified IEEE 33-node distribution system. The proposed local control strategy of DGs can effectively improve the voltage profile and reduce power losses of the whole network without high computation and communication burden.

Original languageAmerican English
Article number9039722
Pages (from-to)2911-2921
Number of pages11
JournalIEEE Transactions on Sustainable Energy
Volume11
Issue number4
DOIs
StatePublished - Oct 2020

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.

NREL Publication Number

  • NREL/JA-5D00-79410

Keywords

  • Active distribution network (ADN)
  • decentralized coordination
  • distributed generator (DG)
  • local control curve
  • model predictive control (MPC)

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