The Virtual Resistance Control Strategy for HVRT of Doubly Fed Induction Wind Generators Based on Particle Swarm Optimization

<div class="floats-full-page floats-full-page-figure"><h2>Figure 11</h2><div class="floats-full-page-caption"><table>Rotor current and voltage with variable damping control in supersynchronization.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="350367.fig.0011a" src="https://static-01.hindawi.com/articles/mpe/volume-2014/350367/figures/350367.fig.0011a.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Rotor current and voltage with 0.5 pu virtual resistance</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="350367.fig.0011b" src="https://static-01.hindawi.com/articles/mpe/volume-2014/350367/figures/350367.fig.0011b.jpg" /></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Rotor current and voltage with 1.5 pu virtual resistance</td></tr></table></td></tr></table></div></div>

Figure 11 | The Virtual Resistance Control Strategy for HVRT of Doubly Fed Induction Wind Generators Based on Particle Swarm Optimization

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Figure 11: The Virtual Resistance Control Strategy for HVRT of Doubly Fed Induction Wind Generators Based on Particle Swarm Optimization

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Figure 11

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<p><em>Mathematical Problems in Engineering</em> is a broad-based journal publishing&nbsp;results of rigorous engineering research across all disciplines, carried out using mathematical tools.</p>


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<p>Chief Editor, Professor Guangming Xie, is currently a full professor of dynamics and control with the College of Engineering, Peking University. His research interests include complex system dynamics and control and intelligent and biomimetic robots.</p>


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