Multi-area energy Internet collaborative planning method based on virtual energy hub

As an important energy Internet technology, energy hub can realize energy routing and information interconnection of power grid within a certain geographical range. Virtual energy hubs can connect multiple isolated energy hubs and expand the scale of energy Internet. However, the problem of optimal allocation of multiple energy sources considering uncertainty remains to be solved. This paper presents a stochastic programming method for device capacity and topology of multi-zone energy Internet. Firstly, based on the virtual energy hub, the integrated energy system with multi-area interconnection is modeled. Then, based on the extended energy transfer model and mixed power flow model, a multi-energy network association model considering virtual energy hub is established. A two-layer stochastic optimization algorithm for path planning is proposed. The outer layer determines the energy network candidate set, and the inner layer determines the cost optimal device capacity under uncertain scenarios. The simulation results show that the proposed method can give the installed capacity and topology structure of multi-area energy Internet, and the proposed planning algorithm greatly improves the planning efficiency. The relevant planning results are helpful to improve energy efficiency, reduce carbon emission, and improve the economic benefits of energy Internet.