Optimal Capacitor Allocation for the Reconfigured Network using Ant Lion Optimization Algorithm

This paper presents an Ant Lion Optimization (ALO) algorithm for optimal allocations and sizing of capacitors for the original and reconfigured distribution systems. Feeder reconfiguration is the process of changing the distribution network topology by changing the status of sectional and tie switches. First the candidate buses for installing capacitors are identified using Fuzzy Approach. Then the proposed ALO algorithm is to find the size of capacitors. The main objective is to reduce the total real loss and consequently, to increase the net energy savings per year. The attained results via the proposed ALO algorithm are compared with original network to highlight their benefits. The proposed algorithm is to minimize the losses and total cost and to enhance the voltage profiles and net saving for various distribution systems. The proposed ALO algorithm has been tested on a standard IEEE 33bus and 69-bus test system for capacitor placement for original and reconfigured network to reduce the power loss and energy savings.

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