A Novel VSC HVDC Frequency Control Strategy based on Neural Network Power Estimation using ROCOF

Soseul Jeong, Lee Junghun, Gilsoo Jang

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper introduces a novel VSC HVDC frequency control strategy by Active Power Estimation. Although VSC HVDC has a much faster control speed than synchronous generator, frequency control of VSC is similar to that of governor. If VSC can use the fast-control character in frequency control, frequency stability can be improved. For fast control, proper power order is important and to estimate the power, this paper uses a neural network that solves the nonlinear relationship between input and output easily. To make quick control before the frequency reaches nadir, ROCOF is used as an input variable of the neural network. It can be seen that when the load of the system is greatly changed, the frequency fluctuation is significantly lowered when the VSC changes the output by the estimated power. Control of the VSC through the neural network is expected to enable faster frequency control than previously possible.

Original languageEnglish
Pages (from-to)467-471
Number of pages5
JournalIFAC-PapersOnLine
Volume52
Issue number4
DOIs
Publication statusPublished - 2019 Jan 1
EventIFAC Workshop on Control of Smart Grid and Renewable Energy Systems, CSGRES 2019 - Jeju, Korea, Republic of
Duration: 2019 Jun 102019 Jun 12

Keywords

  • Control
  • Frequency
  • Neural Network
  • Power Estimation
  • VSC HVDC

ASJC Scopus subject areas

  • Control and Systems Engineering

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