Joint chance-constrained multi-objective optimal function of multi-energy microgrid containing energy storages and carbon recycling system

Abstract

Nowadays, the emission of CO 2 has become a serious issue around the globe, upon which the Earth's temperature has dramatically risen. In this concern, a multi-energy CHP-based microgrid (MG) is considered to meet the multi-energy energy smart cities. As many generation units emit carbon dioxide, a power-to-gas (P2G) facility is considered in this paper to capture CO 2 emissions, upon which the environmental and economic perspectives of the system can be developed. The captured carbon dioxide can be used inside the CHP-based MG or sold to the natural gas network. Additionally, the presence of uncertainties in the loads, renewable energy resources (wind and PV), and electricity market potentially affect the flexibility and optimal function of the system, for which the joint chance constraint (JCC) approach as a scenario-based optimization method is applied for assessment of uncertain parameters. Based on the results, using the P2G facility can increase nearly 10 % of operation costs, while the emission is reduced by 50 %. Also, the applied JCC approach leads to reach the increased cost by 25 %, which shown the conservativeness behavior of the system's operator.