A collaborative training approach for multi energy systems in low-carbon parks accounting for response characteristics

Existing researches lack systematic design of the operation mechanism and overall implementation process of park oriented multi-state energy system; The existing researches on multi-state energy systems ignored the dynamic response characteristics of load and the coupling effect of units considering the impact of carbon emissions, and did not go deep into the collaborative management of multiple multi state energy system parks. To this end, this paper first proposes a two-stage multi-energy system operation architecture for low carbon parks, and establishes a mathematical model considering carbon emissions, operating costs and other objectives. The response space of load is optimized by considering the dynamic interaction characteristics of load response and the coupling characteristics of unit operation. Then, considering the problems of data security and training efficiency, F-DDPG technology is used to conduct collaborative training for multiple campus systems. Finally, an example is given to prove the effectiveness of the method, which is not only conducive to reducing the operating cost of the system and the carbon emissions on the supply side, but also improves the convergence of model training. In the case of collaborative training in multiple parks, the method in this paper converges faster and has better economic benefits. This paper, the dynamic interaction characteristics of load response and the coupling characteristics of unit operation are combined to optimize the load response space. Considering the problems of data security and training efficiency, F-DDPG technology is used to conduct collaborative training for multiple campus systems, and an example is given to prove the effectiveness of the method in this paper.image