Research on multi-objective optimization of energy power system under low carbon constraints

Abstract

The optimization of energy saving and application of power system under low carbon constraint is the improvement of energy security theory and economic theory. To realize the optimization of China’s energy structure, develop low-carbon energy, and strengthen the reform of the energy structure, it is conducive to promoting the development of China’s low-carbon economy and achieving the goal of energy conservation and emission reduction. In order to realize the sustainable development of the economy, energy, and environment, a multi-objective optimization study of this paper proposes an energy power system based on low carbon constraints. The multi-objective optimization structure of the energy power system is analyzed, the model assumptions are established, the decision variables are selected, the objective function is set, the constraints are determined, and the multi-objective optimization model of the energy power system under the low-carbon constraints is constructed to realize the multi-objective optimization of the energy power system. It can be seen from the analysis of the optimization results that the use of this optimization model can effectively reduce CO2 emissions, thereby promoting the healthy development of a low-carbon economic system.