A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2017/4030146/figures/4030146.fig.009a.svgz" name="4030146.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>68-node testing system</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2017/4030146/figures/4030146.fig.009b.svgz" name="4030146.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Sichuan power grid system</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2017/4030146/figures/4030146.fig.009c.svgz" name="4030146.fig.009c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Sichuan power system with data duplication</td></tr></table>

<div>The computation efficiency of HBPNN on the testing power systems.</div>

Mathematical Problems in Engineering

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Figure 9

Figure 9: A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems 