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A three-phase generator produces three voltages that are equal in magnitude but have a phase difference of 120 degrees. This identical magnitude and equal phase separated voltages are known as the balanced voltages and help to minimize power loss while ensuring a steady delivery of energy to connected loads. As voltage sources in a three-phase system can be configured in a wye or a delta formation, the loads connected to these systems can also be arranged in either configuration. This...
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Methodology for interaction identification in modular multi-level converter-based HVDC systems.

Saman Dadjo Tavakoli1, Eduardo Prieto-Araujo1, Enric Sánchez-Sánchez1

  • 1Department of Electrical Engineering, Universitat Politècnica de Catalunya, Spain.

ISA Transactions
|August 2, 2021
PubMed
Summary

This study presents a new method to identify and classify interactions in modular multi-level converter (MMC) based high-voltage direct current (HVDC) links. The approach uses frequency-domain analysis for accurate interaction evaluation.

Keywords:
HVDC linkInteractionsMMCStability analysisState-space model

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Area of Science:

  • Electrical Engineering
  • Power Systems Engineering

Background:

  • High-voltage direct current (HVDC) links utilizing modular multi-level converters (MMCs) are increasingly prevalent in modern power grids.
  • Understanding and mitigating interactions within these complex systems is crucial for grid stability and reliability.

Purpose of the Study:

  • To develop a systematic methodology for identifying, classifying, and evaluating diverse interaction types within MMC-based HVDC links.
  • To provide a framework for analyzing these interactions using appropriate analytical tools.

Main Methods:

  • Derivation of a detailed nonlinear model for an MMC-based HVDC link, including AC grids and the DC transmission system.
  • Linearization of the nonlinear model to obtain a multi-input multi-output (MIMO) linear model representing the system dynamics.
  • Classification of interactions into four categories: state variable, disturbance, control loop, and overall system interactions.
  • Application of frequency-domain analysis with suitable analytical tools for each interaction category.

Main Results:

  • A comprehensive methodology for interaction analysis in MMC-based HVDC systems is proposed.
  • Four distinct categories of interactions are defined and analyzed.
  • Frequency-domain analysis effectively identifies and evaluates different interaction types.
  • Time-domain simulations validate the accuracy of the frequency-domain analysis results.

Conclusions:

  • The proposed methodology offers a robust approach for understanding and managing interactions in MMC-based HVDC systems.
  • Frequency-domain analysis is a powerful tool for evaluating system dynamics and interactions.
  • The validated methodology contributes to the reliable operation of future HVDC grids.