In the context of a low-carbon economy

power to gas(P2 G) technology

which has the ability to absorb wind

light

and capture carbon

is an important supporting technology for the microgrid system to achieve clean and low-carbon utilization of energy. This research constructs a microgrid system containing P2 G equipment and focuses on modeling and analysis of gas turbines

carbon capture and P2 G equipment. A multi-objective optimal scheduling model is established on the basis of taking the economy

comfort and low-carbon environmental protection of microgrid with P2 G as the objective function

and the network power balance and equipment power limitations as the constraints. The non-dominated sorting genetic optimization algorithm(NSGA-II) is used to solve the Pareto solution set. The calculation example analyzes the impact of P2 G and carbon capture equipment on the system. The results show that

the micro-grid system with P2 G can effectively reduce the abandonment of wind and light

and the carbon capture system can capture the carbon dioxide emitted by gas turbines

which improves the environmental protection dramatically. The energy conversion of P2 G equipment increases the profit of micro-grid system.