The identification of minimum control node set of multi — Energy system

This paper studies the minimum control node set (MCNS) which can make a unified controllability of Energy Internet (EI) considering electrical, natural gas, and district heating networks all together. The important reasons of such a view are the increasing energy types and scales which make control difficulties and costs higher. Note that the maximum matching algorithm treats the nodes in the network as the same and then performs random matching resulting in existence of the invalid driver nodes and controlling difficulties. Here, we generate the MCNS by fusing the complexity, compatibility and degree of the node in matching process, then, the modified algorithm is used to identify the MCNS of a 34-node multi-energy coupled network, the results indicate that it can avoid obtaining failed driver nodes and realize network controllability. In addition, we find that the complexities of the driver nodes in the MCNS are relatively small and primarily located at the periphery in the network, which are consistent with the driver nodes tending to avoid the hubs. Thus, the practicality and rationality are verified.