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There are several methods to control power flow in power systems:
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A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
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Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
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Model predictive control of three-phase voltage-source converters with improved tracking performance.

Hui Wang1, Xida Chen1, Yonglu Liu1

  • 1Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid, School of Automation, Central South University, Changsha 410083, China.

ISA Transactions
|August 2, 2022
PubMed
Summary

This study introduces an improved double-vector model predictive control (IDVB-MPC) to reduce tracking errors in power systems. The new method significantly enhances control performance and grid-connected current quality.

Keywords:
Model predictive controlTracking errorVoltage-source converter

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Area of Science:

  • Electrical Engineering
  • Control Systems

Background:

  • Conventional finite control set-model predictive control (FCS-MPC) faces limitations due to significant tracking errors and high sampling frequency requirements.
  • Double-vector-based model predictive control (DVB-MPC), incorporating deadbeat control (DBC) theory, has emerged as a promising alternative.
  • The universal DVB-MPC (UDVB-MPC) scheme struggles with satisfactory tracking performance due to limitations in selecting operation vectors within a sector, leading to voltage synthesis errors.

Purpose of the Study:

  • To propose an improved double-vector-based model predictive control (IDVB-MPC) scheme to overcome the limitations of UDVB-MPC.
  • To significantly reduce tracking errors and enhance the quality of grid-connected currents and power stability.

Main Methods:

  • The proposed IDVB-MPC scheme expands the candidate set by including two additional vectors from adjacent sectors.
  • Each sector is meticulously divided into eight distinct zones to refine control.
  • Comparative simulations and experiments were conducted between the proposed IDVB-MPC and the benchmark UDVB-MPC.

Main Results:

  • The IDVB-MPC scheme achieved a substantial reduction in quantitative tracking errors by approximately 50% compared to UDVB-MPC.
  • Total Harmonic Distortion (THD) of output currents was reduced by about 20%.
  • Quantitative active power ripple was decreased by approximately 35%.

Conclusions:

  • The IDVB-MPC scheme effectively minimizes tracking errors and improves power quality in grid-connected systems.
  • The enhanced vector selection and sector zoning strategy in IDVB-MPC offer superior performance over existing UDVB-MPC methods.
  • This advanced control strategy holds significant potential for the power industry, addressing key challenges in predictive control applications.