Dispatch of Multi-Energy Systems with District Heating Network Considering the Renewable Power Generation Uncertainties

Abstract

The electrification of the heating system and transport sector facilitates the process of the multi-energy system integration, with the technologies of electric vehicles and district heating. In this paper, a multi-energy system consisting of renewable energy generation, electric vehicles, heat storages, electric heat pumps, energy storage, is presented and modeled to maximize its economic and environmental benefits. The uncertainty in the renewable generation is incorporated utilizing the K-means clustering method to generate representative scenarios, whilst the heat demand is simulated with the day-ahead outdoor temperature forecast. The dispatch of the system under a flexible price signal is modeled to minimize the energy costs and carbon dioxide emissions along with several cases utilized to test the applicability of the proposed model. Numerical results confirm the effectiveness of the proposed model, as the system energy cost from grid importation as well as the peak net demand decrease compared with no energy storage.