A Parallel Implementation of Unscheduled Flow Control in Interconnected Power Systems

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td align="left"></td><td align="center">min (μ) </td><td align="center">μ 
									Path 1</td><td align="center">μ 
									Path 2 </td><td align="center">μ 
									Path3</td><td align="center">μ P
									 loss</td><td align="center">μ Qloss</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td align="left">Base case</td><td align="center">0.0001</td><td align="center">0.1163</td><td align="center">0.0001</td><td align="center">1.000</td><td align="center">0.4451</td><td align="center">0.4451</td></tr><tr><td align="left">Test results</td><td align="center">0.3750</td><td align="center">0.8255</td><td align="center">0.4382</td><td align="center">0.8350</td><td align="center">0.4391</td><td align="center">0.4422</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Averaged fuzzy membership values for objectives and constraints (population size is 100, iteration number is 100).

Mathematical Problems in Engineering

tab5

Table 5

Table 5: A Parallel Implementation of Unscheduled Flow Control in Interconnected Power Systems 