Reactive Power Planning Using Evolutionary Programming For IEEE 26-Bus

Abdul Munaf, Raziyah Maznah (2016) Reactive Power Planning Using Evolutionary Programming For IEEE 26-Bus. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text Reactive Power Planning Using Evolutionary Programming For IEEE 26-Bus - Raziyah Maznah Abdul Munaf - 24 Pages.pdf - Submitted Version Download (102kB)

Abstract

Reactive Power Planning (RPP) is become a vital issue for power system planning and operation in order to avoid voltage instability event which lead to severe blackout incident. The relationship between reactive power reserve and Voltage Stability Margin (VSM) also been studied which found that variation caused changes in network operation For that reason, most researches intended to enhance voltage stability condition by sustaining the reactive power across power networks. In consequence, this study introduced Evolutionary Programming (EP) technique as a simulation tool in optimizing RPP, on standard IEEE 26 bus system using MATLAB programming. The Maximum Loading Point (MLP) selected as the individual objective function to be optimized with varying on their identified control variables while total system loss minimization is observed during the implementation. From findings, the EP is capable to improve the MLP as well less total loss as referred to results obtained without RPP optimization. Upon completion, this technique also provided the better voltage profile to avoid the unsecured operation condition during any load changes.

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