Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response.

ABSTRACT: Multi-Energy Microgrids (ME-MGs) represent an integrated and advanced energy system, playing a vital role in delivering optimal and sustainable energy solutions in modern societies. These systems combine various energy sources, such as electricity, heat, and storage systems, to ensure efficient resource management and operation. One of the primary challenges in managing ME-MGs is reducing operational costs and emissions while addressing uncertainties. This study investigates the optimization and energy management (EM) in ME-MGs through the application of the Multi-Objective Walrus Optimization Algorithm (MOWaOA) combined with fuzzy decision-making techniques. The main objective of the research is to minimize operational costs and emissions in the face of uncertain conditions. To achieve th

SUBMITTER: Xiao G 

PROVIDER: S-EPMC11814307 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature