Research on Simulation and Optimization of Electric Carbon Model of Power Grid under the Lowest Carbon Emission Loss

The carbon consumption calculation model of power system is established by considering the carbon consumption of each link in power system. The first thing to consider is the economy and security of the grid and the carbon dioxide emissions from the grid damage. This paper proposes a cooperation model between enterprises based on fuzzy dynamic clustering. The total carbon emission rate index of network loss is introduced and the carbon emission optimization model of power grid based on quantum genetic algorithm is established. In this model, the objective function value is used as the evaluation basis of individual fitness value. This method can improve the optimization results and avoid the problems of premature convergence and local convergence. The simulation of IEEE57 nodes proves the feasibility of the proposed method in power system.