Design of information management model based on multiobjective optimization algorithm in intelligent electric financial system.

ABSTRACT: The electric power infrastructure is the cornerstone of contemporary society's sustenance and advancement. Within the intelligent electric power financial system, substantial inefficiency and waste in information management persist, leading to an escalating depletion of resources. Addressing diverse objectives encompassing economic, environmental, and societal concerns within the power system helps the study to undertake a comprehensive, integrated optimal design and operational scheduling based on a multiobjective optimization algorithm. This article centers on optimizing the power financial system by considering fuel cost, active network loss, and voltage quality as primary objectives. A mathematical model encapsulates these objectives, integrating equations and inequality constraints an

SUBMITTER: Hu J 

PROVIDER: S-EPMC11636976 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature