Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Method</td><td align="center">Voltage deviation (p.u.)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left"><b>MABC</b></td><td align="center"><b>0.0841</b></td></tr><tr><td align="left">ABC</td><td align="center">0.1040</td></tr><tr><td align="left">DE [<a href="/journals/mpe/2014/961069/#B15">15</a>]</td><td align="center">0.1357</td></tr><tr><td align="left">BBO [<a href="/journals/mpe/2014/961069/#B39">39</a>]</td><td align="center">0.1020</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparisons of the results obtained by different algorithms for Case <a href="https://static.hindawi.com/articles/mpe/volume-2014/961069/figures/#casee4">4</a>.

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm 