Optimal scheduling of combined cooling, heating, and power system-based microgrid coupled with carbon capture storage system

The paramount role of microgrids (MGs) in strengthening the energy network and supply of many users in more cost-effective, safe, and sustainable manner cannot be overlooked. Energy carriers' interdependence on each other, as well as the rapid rise of tri-generation technologies, provide several obstacles to ensuring the network's best performance. A combined-cooling heat and power (CCHP) system based on various renewable-based re-sources and MGs is capable of supplying electricity, thermal, and cooling loads, in which the operation of CHP-based MG (CBM) is heavily influenced by the interaction between these carriers. On this basis, this paper is proposed a comprehensive analysis of CBM operation, which is coupled with electrical and absorption chillers (ACs), energy storage, and renewable-based units like solar and wind power under a multi-objective optimization (MOO) technique. In addition, a Power-to-Gas (PtG) technology is utilized in the proposed system to enhance the overall operation, reduce CO2 emission, and to contribute to the cooling and heat supply in the presence of various uncertainties. The suggested MOO methodology evaluates the operation cost of the system as the first objective and the reduction of CO2 emission as the second objective. An epsilon-constrained approach and Pareto solution are considered to assess the methodology. As a result, this study examines the system's reliance on individual carriers as well as the interdependence of those carriers. The results reveal the effectiveness of the proposed model to reduce CO2 emission and operational costs.