| Abstract: |
The power distribution systems are the key final link to provide end-users with access to the electrical grid, making their operational reliability one of the primary drivers influencing global power quality and customer satisfaction. This review paper tells a comprehensive higher-fidelity meta An analysis of the historical work associated with systematic normalization of distribution network reliability indices. This study evaluates and classifies the previous success of various grid improvement approaches by synthesizing both empirical datasets and architectural frameworks from thirty foundational studies printed over the previous two decades. In particular, the analysis focuses on key performance indicators such as System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI) and Momentary Interruption Frequency Index (MAIFI). Historical literature, you can be categorized in the field of three main types of technical intervention: optimal positioning of automatic transformers switches, integration of distribution price generator and network reconfiguration strategies. This paper makes a statistical synthesis of case study outcomes to identify historical performance correlations, demonstrating that the highest levels of incremental reduction in SAIDI and SAIFI, with an average mitigation between 35% and 52%, corresponded to hybrid topologies with automated sectionalizing links deployed along with decentralized DG resources. Moreover, this review methodologically dissects the predictive frameworks developed previously by inspecting their evolution from analytical models to state-of-the-art meta-heuristic optimization algorithms and deep learning architectures. This work reviews the methodological pitfalls highlighted in earlier research, including insufficient modeling of stochastic operational parameters and the omission of high-impact, low-probability (HILP) weather disturbances. In conclusion this systematic review provi |
