Optimal Shunt Capacitors Placement and Sizing using MVO.

This multiverse optimizer based matlab code finds the optimal buses on which to install shunt capacitors and the optimal capacitor sizes.

This multiverse optimizer (MVO) based matlab code finds the optimal buses on which to install shunt capacitors and the corresponding optimal shunt capacitor sizes.

The presented optimization approach modifies and partially uses the conventional loss sensitivity factors (LSFs) and MATLAB's ismember and any commands to reduce the search space of optimal buses that require shunt capacitor placement. Afterwards, the MVO is used to do a concurrent search of the most optimal buses and the corresponding capacitor sizes. In the MATLAB code presented here, the developed approach is tested on the IEEE 33-bus radial distribution system for the compensation of three buses.

As part of the results, plots of the convergence curve, voltage profile improvement plot, branch real power losses reduction, and branch reactive power losses reduction plots are also generated by the code.