An Optimization-Based Reliability Enhancement Framework of Distribution Systems through Distributed Generation Integration and Network Reconfiguration

Abstract

Distribution network reconfiguration is a key strategy for achieving a secure, reliable, and economically efficient electricity supply. This paper proposes an optimization-based reliability enhancement framework for distribution systems through network reconfiguration and distributed generation (DG) integration using a Hybrid Tunicate Swarm Bat Algorithm (TSBA). The proposed approach simultaneously minimizes active power losses while improving the operational reliability of the distribution network. A comprehensive reliability evaluation framework is incorporated to address the uncertainties and imprecision associated with reliability data by considering multidimensional reliability assessment indicators. The proposed optimization and reliability evaluation framework is validated on the IEEE 33-bus and IEEE 69-bus distribution systems. The simulation results demonstrate substantial improvements in network performance, achieving 66% and 92% reductions in active power losses for the IEEE 33-bus and IEEE 69-bus systems, respectively. Furthermore, the proposed framework significantly enhances system reliability, improves the voltage profile, and reduces voltage deviation while maintaining secure network operation. These results confirm the effectiveness of the TSBA-based optimization framework as a robust and practical solution for improving the efficiency, reliability, and operational performance of modern distribution networks with DG integration.