Abstract

This paper presents a hybrid intelligent control method that enables frequency support control for permanent magnet synchronous generators (PMSGs) wind turbines. The proposed method for a wind energy conversion system (WECS) is designed to have PMSG modeling and full-scale back-to-back insulated-gate bipolar transistor (IGBT) converters comprising the machine and grid side. The controller of the machine side converter (MSC) and the grid side converter (GSC) are designed to achieve maximum power point tracking (MPPT) based on an improved hill climb searching (IHCS) control algorithm and de-loaded (DL) operation to obtain a power margin. Along with this comprehensive control of maximum power tracking mode based on the IHCS, a method for kinetic energy (KE) discharge control of the supporting primary frequency control scheme with DL operation is developed to regulate the short-term frequency response and maintain reliable operation of the power system. The effectiveness of the hybrid intelligent control method is verified by a numerical simulation in PSCAD/EMTDC. Simulation results show that the proposed approach can improve the frequency regulation capability in the power system.

Highlights

  • Increasing concerns over the energy crisis and environmental problems have significantly promoted the development of wind energy for sustainable, efficient, and clean electric power systems all over the world [1]

  • This paper presented a hybrid intelligent control method that combines active power control and an advanced frequency support control method based on the permanent magnet synchronous generators (PMSGs) for application under varying wind speed conditions

  • The machine side converter (MSC) control focused on achieving maximum power point tracking (MPPT) based on the improved hill climb searching (IHCS) algorithm for tracking the maximum power point (MPP) and using DL operation to obtain a power margin, while the grid side converter (GSC) control was used to keep the DC-link voltage at a set value for minimizing energy losses

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Summary

Introduction

Increasing concerns over the energy crisis and environmental problems have significantly promoted the development of wind energy for sustainable, efficient, and clean electric power systems all over the world [1]. To fully exploit the benefits of a variable speed wind turbine without a gearbox, it is important to develop advanced control methods to extract the maximum power output from wind turbines. Previous research on this topic has focused on two control methods for extracting maximum power, namely tip speed ratio (TSR) control and power signal feedback (PSF) control [4,5].

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