| Popis: |
With the rapid development of AC-DC hybrid microgrid and the widespread application of power electric components, AC-DC hybrid park micro-grid based on the topology of electric energy router application(EERA) emerged. In this paper, the matching of the DC/AC devices and DC/DC devices capacity in the planning stage be optimized based on the port model of the electric energy router application. At the same time, the economic operation of the park microgrid is realized by quantifying the life loss cost of energy storage. Therefore, a bi-level optimization model that takes into account both the economic operation of the park microgrid and the investment of PV-energy storage combined power generation system containing the electric energy routers application is proposed. Given the different characteristics of the operating variables and planning variables, the optimization target is solved by the method of combining improved particle swarm algorithm using the Shannon information entropy model and mixed-integer quadratic programming (MIQP) based on the ideas of hierarchical decoupling. Through simulation calculation in different scenarios, it is verified that the effectiveness of the model and the feasibility of the algorithm. Finally, this model can provide a certain reference for the configuration of the park microgrid capacity based on the electric energy router application. |
