Coordinated planning of multi-area multi-energy systems by a novel routing algorithm based on random scenarios

As an important Energy Internet technology, energy router (ER) can implement routing and information interconnection for the electrical grid within a certain geography range. However, multi-energy supply allocation between routers (MERs) has to be resolved, which connect isolated area networks expand scale of Internet. In this paper, equipment capacity network are planned multi-area system (MAMES), integrates multiple MERs with virtual (VMER). Firstly, based on VMER, concept MAMES is proposed. Then, correlation model in VMER constructed, MER transmission conversion extension hybrid power flow model. And novel algorithm proposed determine candidate set integrated networks. During planning, random scenario generation Latin hypercube sampling (LHS) reduction k-means clustering applied. Finally, simulation shows that planning method effectively obtain inside layout MAMES. Proposed operation scenarios greatly improve efficiency planning. Correlated helps efficiency, environment protection, economic benefits