A Model Predictive Control-Based Voltage Optimization Method for Highway Transportation Power Supply Networks With Soft Open Points

Wentao Huang*, Congzhe Gao, Ran Li, Rohit Bhakar, Nengling Tai, Moduo Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Increasing renewable energy penetration exacerbates voltage violation in highway transportation power supply networks (HTPSNs). The technique of flexible connectivity based on soft open points (SOPs) could improve the controllability and voltage stability of the network. However, the generally used voltage control of SOPs may be too sluggish to accommodate the frequent voltage fluctuations and requires further investigation. This article proposes a real-time model predictive control (MPC)-based voltage optimization method for SOPs in HTPSNs. Combining the sensitivity analysis and the operational constraints of the network with SOPs, a localized real-time optimization model is established. With the rolling of the control horizon, the SOPs regulate the voltage and optimize the power flow at a time scale of seconds. Using simply the voltage at the connected node of the SOPs, the proposed method can significantly enhance the voltage stability of the HTPSNs and decrease power losses under the rapid fluctuations of the network voltage. To further improve the performance of voltage control, the optimization model is modified through feedback correction. The case studies demonstrate the effectiveness of the proposed method under different scenarios.

Original languageEnglish
Pages (from-to)1141-1150
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume60
Issue number1
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes

Keywords

  • Highway transportation power supply networks (HTPSNs)
  • model predictive control (MPC)
  • sensitivity analysis
  • soft open points (SOPs)
  • voltage optimization

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