Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm

• Main Authors: Jamal S., Pasupuleti J., Rahmat N.A., Tan N.M.L.
• Other Authors: 57265080900
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2025
• Subjects: Carbon dioxide; Cost effectiveness; Cost reduction; Emission control; Energy efficiency; Energy management; Multiobjective optimization; Operating costs; Power markets; Virtual storage; > emission; CO<sub xmlns:ali="; Cost effective; Improved pelican optimization algorithm; Microgrid; Multi objective; Multi-objective energy management; Nanogrids; Optimisations; Optimization algorithms; Xmlns:mml="; Xmlns:xlink="; Xmlns:xsi="; Genetic algorithms

The development of efficient energy management for nanogrid (NG) systems, while reducing both the carbon dioxide (CO2) emissions and power generation cost, is achievable through the effective utilization of available energy sources. This paper proposes a multi-objective optimal energy management str...