Bi-level Iterative Planning of Integrated Energy System for Renewable Energy Consumption

Abstract

With the continuous increase in the penetration of renewable energy and the rapid development of integrated energy system, we propose a capacity configuration model for the electricity, heat, and hydrogen system. First, we construct the electricity, heat, and hydrogen system model. And then aiming at the impact of wind and solar output and load demand uncertainty on the system capacity configuration, we establish the typical source-load scenarios to achieve a deterministic description of uncertain variables. On this basis, to maximize the net income of the system, we establish a bi-level iterative planning model for the electricity, heat, and hydrogen system. The upper model is the optimal capacity configuration model, and the lower layer is the optimal scheduling strategy model. The collaborative optimization of capacity configuration and scheduling strategy is realized through the cyclic iteration between the upper and lower models. Finally, we take a specific system as an example to verify the feasibility and effectiveness of the proposed bi-level iterative planning model.