Multi-objective optimization models for power load balancing in distributed energy systems

• Published in: Energy Informatics Vol. 8; no. 1; pp. 104 - 22
• Main Authors: Wang, Zhuo, Luo, Yuchen, Wu, Wei, Cao, Lei, Li, Zhun
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2025; Springer Nature B.V; SpringerOpen
• Subjects: Alternative energy sources; Artificial intelligence; Climate change; Computer Science; Deep reinforcement model grid, energy sources; Distributed generation; Efficiency; Electrical loads; Electricity; Electricity distribution; Emissions; Energy consumption; Energy management; Energy resources; Energy storage; Information Systems and Communication Service; Investigations; Multi-objective optimization; Multiple objective analysis; Operating costs; Optimization; Optimization models; Photovoltaics; Power load, distributed generation; Power supply; Probability density functions; Renewable energy sources; Renewable resources; Solar energy; Supply & demand; Uncertainty; Wind power; Power load, distributed generation; Multi-objective optimization; Deep reinforcement model grid, energy sources

When it comes to smart power grid (SPG) reliability and energy balancing, multi-objective energy optimization is a must. Uncertainty and several competing criteria on the demand and generation sides make multi-objective optimization difficult. Selecting a model capable of resolving scheduling issues...