A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO2 Emissions in a Multi-Carrier Microgrid (MCMG)

This paper proposes a probabilistic model with the aim to reduce solar energy operation cost and CO2 emissions of multi-carrier microgrid. The MCMG in this study includes various elements such as combined heat power (CHP), electrical pump (EHP), absorption chiller, panels, thermal storages. A MILP is proposed manage commitment producers, storage equipment, amount selling/buying upstream network, consumption responsible loads for day-ahead optimal formulated multi-objective optimization based on two environmental economic objectives, using weighted sum technique fuzzy satisfying approach. In paper, 2 m + 1-point estimate strategy has been used uncertainties caused by output panels supply price. order evaluate performance model, also minimizing emissions, simulation was conducted typical cold hot days. Numerical results show model’s effect electrifying heating cooling microgrid through EHP unit greenhouse gas scenarios considered.