*Result*: Advanced optimization of distributed generation and network reconfiguration in power distribution networks: Challenges, methodologies, and strategic insights.
*Further Information*
*The integration of Distributed Generation (DG) and Network Reconfiguration (NR) serve as a crucial strategy for optimizing the performance of large-scale, complex distribution networks. This review examines advanced methodologies for DG planning alongside NR, emphasizing the influence of voltage-dependent load models, including constant power, constant current, constant impedance, and composite models. It explores conventional, metaheuristic, and hybrid optimization frameworks, assessing their effectiveness in alleviating active and reactive power losses, voltage deviations, and enhancing network resilience. The study examines the computational challenges associated with optimizing large-scale distribution networks, highlighting the difficulties in managing high-dimensional search spaces and complex constraints. It also explores the trade-off between achieving optimal solutions and ensuring algorithmic efficiency. Through a comparative assessment of existing techniques, this review identifies the strengths and limitations of contemporary optimization strategies, highlighting the importance of adaptive, scalable, and computationally efficient frameworks. The insights presented contribute to the advancement of DG planning and NR strategies, facilitating the development of resilient, sustainable, and intelligent power distribution networks. • Reviews DG deployment and NR as key strategies for distribution network optimization. • Evaluates voltage-dependent load models in modern optimization frameworks. • Compare classical, metaheuristic, and hybrid methods for power loss mitigation. • Identifies computational challenges in large-scale network optimization. • Advocates scalable and efficient approaches for resilient smart power systems. [ABSTRACT FROM AUTHOR]
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