Research on line loss analysis and intelligent diagnosis of abnormal causes in distribution networks: artificial intelligence based method.

ABSTRACT: The primary source of energy losses in distribution networks (DNs) is rooted in line losses, which is crucial to conduct a thorough and reasonable examination of any unusual sources of line losses to guarantee the power supply in a timely and safe manner. In recent studies, identifying and analyzing abnormal line losses in DNs has been a widely and challenging research subject. This article investigates a key technology for the line loss analyses of DNs and intelligent diagnosis of abnormal causes by implementing artificial intelligence (AI), resulting in several prominent results. The proposed algorithm optimizes the parameters of the support vector machine (SVM) and suggests an intelligent diagnosis algorithm called the Improved Sparrow Search Algorithm and Support Vector Machine (ISSA-S

SUBMITTER: Liao Y 

PROVIDER: S-EPMC10773768 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature