Multi Energy Flow Optimal Scheduling Model of Compressed Air Energy Storage Based on Matrix Modeling of Energy Hub

Abstract

Advanced adiabatic compressed air energy storage (AA-CAES) is an electric energy storage system that can realize large-capacity and long-term electric energy storage. In the process of energy storage which additional producted variety of energy flows can be used as a micro-integrated energy system(MIES). considering the multi-energy flow co-supply characteristics of AA-CASE, in order to study the multi-energy flow supply scheduling strategy. this paper builds a general energy exchange analysis model based on the energy hub (Enery Hub), and conducts modular matrix modeling for the internal components of AA-CAES, such as compressors, turbines, and heat exchangers, analyze its thermodynamic properties and energy flow generation efficiency. on this basis, in order to maximize the economy, an optimal scheduling model of AA-CAES based on matrix modeling of EH is proposed. Finally, use the common compressed air energy storage system equipment data to simulation verification.