Optimized allocation of energy storage for integrated energy systems with coordinated source-load-storage interaction

Abstract

With the realization of the “carbon peak and carbon neutrality”goals,the significance of energy storage technology in integrated energy systems has become increasingly prominent. To address the uncertainty of photovoltaic power generation under varying weather conditions and the strain imposed on the power system by large-scale demand on the load side, this study proposes a multidimensional advanced adiabatic compressed air energy storage model encompassing electricity, heat, cooling, and gas. This model incorporates the uncertainty of power supply in the integrated energy system, taking into account three weather scenarios (sunny, cloudy, and rainy) and optimizing energy storage configuration based on different load dimensions of electricity, heat, and cooling. Utilizing regional meteorological data and historical power datasets, an economic dispatch optimization model for the integrated energy system is established, with the objective of maximizing economic efficiency, for experimental evaluation.The results show that on a sunny day, for example, the degree of energy storage compensation for electric loads at peak hours is 3.42 %, the degree of compensation for heat loads is about 42 %, and the demand pressure of 50 % for cold loads can be relieved, which improves the degree of smoothing of the electric, heat, and cold load curves, and achieves peak shaving and valley filling; The total operating cost is $687,966 before optimisation and $647,027 after optimisation, with a 5.9 % reduction in user-side costs and a significant improvement in system economics, which is of some reference value for future energy system planning and operation.