Block-Chain Assisted Strategies for Power Loss Reduction in Modern Distribution Systems

This paper presents a novel approach utilizing Golden Jack Optimization (GJO) algorithm integrated with block-chain technology for minimizing power losses and enhancing voltage profile in distribution systems (DS). The optimization framework incorporates the IEEE 69 bus system as a testbed, employing GJO to iteratively optimize capacitor placements and reactive power compensation. The backward-forward sweep technique is adopted for accurate loss calculation and voltage profile assessment. Key components of the proposed methodology include transparency, trust, decentralization, data integrity, and traceability facilitated by block-chain technology. By recording each iteration's best solution, fitness value, and capacitor placements on an immutable ledger, block-chain ensures transparency and trust among stakeholders. Moreover, the decentralized nature of block-chain prevents unauthorized modifications, enhancing data integrity. The traceability feature enables stakeholders to track the evolution of optimization results, providing insights into the optimization process. Experimental results demonstrate the effectiveness of the proposed approach in minimizing power losses and improving voltage profile, showcasing the potential of block-chain-integrated optimization algorithms for enhancing distribution system performance.