Study on the cooperative optimized operation of power system source-grid-load-storage based on Gurobi mathematical programming

The world is facing the problems of continuous growth of energy demand and a deteriorating climate environment, and the construction of clean energy systems has become an important trend in the future energy field. In recent years, the scale of wind power and photovoltaic power generation on the grid in China has been expanding, which increases the operating pressure of the power system. The integrated operation of a power system can coordinate and control the complementary power-side and flexible load-side interaction, which has important value for the sustainable development of energy systems. Based on this, this paper firstly establishes a Gurobi mathematical planning-based power system source-grid-load-storage cooperative operation optimization model under the dual carbon objective. Secondly, the system integration cost and unit output is solved by three scenarios. The results show that the source-grid load-storage coordination optimization model proposed in this paper can improve the system operation economy and new energy consumption capacity to a certain extent, and verify the effectiveness of the model.