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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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RTDS implementation of an improved sliding mode based inverter controller for PV system.

Gazi Islam1, S M Muyeen1, Ahmed Al-Durra1

  • 1The Petroleum Institute, Electrical Engineering Department, PO Box 2533, Abu Dhabi, UAE.

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|November 27, 2015
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Summary

This study introduces a new method for real-time testing of large photovoltaic systems using a Real Time Digital Simulator (RTDS). The approach enhances controller performance and simplifies filter design for improved grid stability.

Keywords:
Current control schemeDC–AC power converterDC–DC power converterLow voltage ride throughParameter optimizationPhotovoltaic systemPower system transientsSliding mode controller

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Control Systems

Background:

  • Large-scale photovoltaic (PV) systems require robust control strategies for grid integration.
  • Fast controllers often exhibit wide harmonic distribution, complicating filter design.
  • Real-time digital simulators (RTDS) present implementation challenges for high-bandwidth control schemes.

Purpose of the Study:

  • To propose a novel methodology for real-time testing of PV system dynamics and control using RTDS.
  • To address controller parameter design hindrances and improve harmonic profiles.
  • To optimize controller parameters for enhanced low voltage ride-through (LVRT) performance.

Main Methods:

  • Implementation of a novel control strategy on RTDS with small time steps.
  • Controller parameter optimization using Particle Swarm Optimization (PSO).
  • Analytical modeling of voltage profile parameters (recovery time, overshoot, settling time, steady-state error) using Response Surface Methodology (RSM).

Main Results:

  • The proposed control strategy achieves an improved voltage harmonic profile, distributing harmonics around the switching frequency.
  • Fast transient response and simplified filter design were demonstrated.
  • PSO-based optimization significantly improved LVRT performance compared to Genetic Algorithm (GA).

Conclusions:

  • The developed methodology facilitates the real-time implementation of high-bandwidth control strategies in RTDS for PV systems.
  • Controller parameter optimization using PSO and RSM provides a systematic approach for enhancing system performance.
  • The findings are applicable to other renewable and distributed generation control applications.