Optimal Power Flow of Low Carbon Power System Based on NSGA2 Algorithm and Carbon Flow Theory

Abstract

The research on optimal power flow optimization of power system considering carbon emission intensity can make full use of low-carbon resources in the system and reduce carbon emissions in the operation of power system. This paper proposes a power flow optimization method considering carbon emissions based on NSGA2 algorithm, and the TOPSIS method is used to obtain the optimal solution from the Pareto optimal solution set of multi-objective optimization. That provides a theoretical basis for low-carbon dispatching of power systems. The simulation example shows that this paper can reduce carbon emissions by 45.9% while increasing the system cost by 3.75% compared with the ordinary optimal power flow calculation. The proposed method can significantly reduce the carbon emissions of the system with a little increase in the system cost.