Block-chain Enabled Strategies for Efficient Power Loss Management in Distribution Networks

This study proposes a novel methodology for optimizing capacitor placement in distribution networks, employing the War Strategy Optimization (WSO) algorithm integrated with adaptive parameter tuning and block-chain technology. The WSO algorithm, inspired by military strategies, strategically positions fixed kVAR capacitors at variable locations to minimize power losses and enhance voltage profiles. The adaptive parameter tuning dynamically adjusts algorithm parameters to improve optimization efficiency, while the incorporation of block-chain ensures secure and verifiable optimization results. The methodology is tested on the IEEE 33-bus test system under different loading conditions (80%, 100%, and 120%), representing light, normal, and heavy load scenarios. Simulation results demonstrate significant reductions in power losses and improvements in voltage stability compared to traditional methods. The adaptive parameter tuning within WSO enhances the algorithm's performance, demonstrating better convergence speed and solution quality. Additionally, the block-chain integration provides a robust verification mechanism, ensuring data integrity and security. This research highlights the advantages of using WSO with adaptive parameter tuning and block-chain in optimizing capacitor placement, offering a reliable and efficient solution for improving the performance of electrical distribution systems.