Application of Archimedes Optimization Algorithm for Network Reconfiguration to Minimize Power Loss and Voltage Deviation

Abstract

An optimal Network Reconfiguration (NR) is presented in this paper using a Chaotic sinusoidal map-based Archimedes Optimization Algorithm (CAOA) to address the issues of poor voltage profile and incurred power loss in the distribution system. The chaotic sinusoidal map was used to improve AOA sluggish and premature convergence. AOA was derived from the law Archimedes principle of physics, which mimics the buoyant force exerted upward on an object, fully or partially immersed in a fluid and proportional to the weight of fluid displaced. The exceptional qualities of AOA are efficiency, simplicity, and robustness. The initialization phase of AOA was improved using the chaotic sinusoidal map to improve the diversity strength of the AOA and obtain a better solution. Searching begins with random acceleration, volume, and densities in the search space. CAOA is applied for optimal NR in power distribution to minimize power loss and Voltage Deviation (VD). The verification of CAOA is tested on the IEEE 30 bus system, and the power loss decreases to 139.365 KW from the base case of 202.68 KW. This has led to a 31.238% reduction. The least voltage magnitude increases to 0.948 p.u using the proposed CAOA from 0.913 p.u of the base case. The base case (before reconfiguration) VD is 0.0035498 p.u and decreased to 0.0013403 p.u after reconfiguration. The result reveals that CAOA is suitable for lowering power loss and VD, thereby improving the bus voltage. The comparison with other methods proves that CAOA is effective in lower power loss and VD. It can be concluded from the simulation that CAOA led to improvement in system distribution performance for quality power supply and reliability.