Voltage Control of Distribution Network Based on Parallel Control System

  • Zhiwu Wang
  • , Xiangyang Zhao*
  • , Yuan Zhu
  • , Linze Yang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the increasing penetration of renewable energy sources in distribution networks, the node voltage crossing limits caused by distributed generation (DG) has brought a very big challenge to the operation and scheduling of distribution networks. Therefore, this paper constructs a parallel control system for distribution network to guarantee the safe and reliable operation of the actual distribution network system. Firstly, we build an equivalent digital twin of the actual distribution network system based on NI PXI controller; then, proposes a centralized distribution network scheduling model based on second-order cone optimization, and coordinates the centralized optimization model based on the digital twin to determine the best voltage control strategy for the actual distribution network system through computational experiments and evaluation; secondly, improves the voltage control ability of the distribution network by parallel execution and coordinated optimization between the constructed artificial system and the actual system; finally verifies the feasibility and significant advantages of the parallel voltage control system for distribution networks by using the IEEE33 distribution network system as an example.

Original languageEnglish
Title of host publication2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350318470
DOIs
StatePublished - 2023
Event3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023 - Orlando, United States
Duration: 7 Nov 20239 Nov 2023

Publication series

Name2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

Conference

Conference3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
Country/TerritoryUnited States
CityOrlando
Period7/11/239/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • digital twin
  • distribution network voltage control
  • parallel control system
  • second order cone optimization

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