Multi-Objective Optimal Scheduling of Microgrids Based on
In this regard, a multi-objective optimization scheduling model for microgrids in grid-connected mode is proposed, which comprehensively considers the operational costs and
In this regard, a multi-objective optimization scheduling model for microgrids in grid-connected mode is proposed, which comprehensively considers the operational costs and
In this context, this work presents a novel Multi-objective Artificial Vultures Optimization Algorithm based on Multi-agent Deep Deterministic Policy Gradient (MOAVOA-MADDPG) planning
In this paper, we establish a stochastic multi-objective sizing optimization (SMOS) model for microgrid planning, which fully captures the battery degradation characteristics and the total carbon emissions.
Guo et al. (2025) proposed a three-objective scheduling strategy for islanded microgrids based on an improved MOPSO algorithm. By enhancing parameter adjustment strategies and
The microgrid energy management (MGEM) problem in the presence of hybrid sources of energy and storage units is approached by proposing a multi-objective optimization approach.
This paper proposes a novel multi-objective optimization algorithm for distributed microgrid grid connection, simultaneously addressing economic cost minimization, reliability maximization, and
This study designs a multi-objective planning optimization problem to determine the optimal sizes of a multi-energy microgrid comprising PV, wind, battery storage, thermal storage,
This paper proposes a scenario-based multi-objective optimization model for grid-connected microgrid considering the cost and carbon emissions to realize the optimization of economy-environmental
This section presents a multi-objective optimization model for planning and operating the microgrid. The model considers the optimal dispatch of various energy and storage resources
For microgrids with uncertainties in renewable energy generation and normal load demand, a robust multi-objective and multi-scenario performance optimization algorithm based on
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