Research on Hierarchical and Distributed Control for Smart Generation Based on Virtual Wolf Pack Strategy

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/2782314/figures/2782314.fig.004a.svgz" name="2782314.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The convergence result of Q(<i>λ</i>)</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/2782314/figures/2782314.fig.004b.svgz" name="2782314.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The convergence result of HDC-VWPS</td></tr></table>

<div>The convergence result of Q-function differences obtained in each GSG during prelearning.</div>

Complexity

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Figure 4

Figure 4: Research on Hierarchical and Distributed Control for Smart Generation Based on Virtual Wolf Pack Strategy 