Analysis of Capacitor Placement in Power Distribution Networks Using Body Immune Algorithm

In this study we present a new technique for analysis of capacitor placement in the power distribution systems considering the most of the parameters affected in this problem. Detection of capacitance and optimal placement of capacitors in power distribution system can lead to decrement in losses, enhancement in voltage profile, increment of power factor and freeing up generation capacityand energy distribution. The majority of literatures pay more attention to solve this problem considering only some of the parameters related to the capacitor placement. In this study for the analysis and formulation of the problem we consider six distinct objectives related to the cost of losses, cost of voltage profile, cost of power factor, cost of utilities development and cost of capacitors including the purchase and installation cost. To find the optimum location and capacitance of the capacitors, a proposed method based on the Immune algorithm has been employed in simulations. The important advantage of the Immune algorithm rather than the other methods is its performance in multifunction manner that can investigate many parameters in the target function. The proposed capacitor placement and detecting optimum capacitance method has been implemented and tested in a 9-bus IEEE sample network in DIGSILENT and MATLAB environments.