Robust Optimal Operation of Smart Microgrid Considering
This paper proposes a closed-loop technical framework combining high-confidence interval prediction, second-order cone convex relaxation, and robust optimization to facilitate
Robust Optimization for Microgrid Management With Compensator,
The model primarily addresses challenges arising from the integration of power electronics-based generation units, the unpredictable nature of demand in microgrids, and the integration of small-scale
A single and multiobjective robust optimization of a microgrid in
In this paper, single and multi-objective robust optimization of a microgrid (MG) including photovoltaic (PV) and wind turbine (WT) sources with battery storage has been performed in a radial...
An Adaptive Robust Optimization Model for Microgrids Operation
A three-stage adaptive robust optimization model for microgrids operation, considering the uncertainties of PV and WT generation, consumer demand, and price of electric power, was presented in this paper.
Robust optimization of microgrid based on renewable distributed
Based on the expected values of wind, photovoltaic, and load, the robust optimization scheduling model of grid-connected microgrid proposed in this paper is analyzed through simulation
Multi-Energy Microgrid Low-Carbon Optimization Scheduling and Robust
Read online [Objective] To address the negative impacts of renewable energy and load uncertainty on the economic performance and low-carbon optimization operation of multi-energy microgrids,this
A robust optimization model for microgrid considering hybrid
To address this, we proposed a robust mixed-integer linear programming model for the microgrid to minimize the day-ahead cost. To validate the proposed model piecewise linear curve is to deal with
Robust optimization model for micro-energy grid accounting for
The robust optimization model for micro-energy grids accounting for demand response and carbon-green certificate market transactions, proposed in this paper, can provide decision
A novel multi-stage robust optimization model for carbon-free microgrid
This paper presents a novel two-stage robust optimization framework that explicitly models decision-dependent uncertainties (DDUs), where uncertainty sets dynamically adapt to operational