A novel real-time dynamic performance evaluation and capacity configuration optimization method of generation-storage-load for integrated energy system

The generation-grid-load-storage integrated energy system holds great significance for the effective integration of large-scale new energy sources and ensuring the stable operation of the modern power system. In this paper, the dynamic comprehensive evaluation and capacity configuration and optimization of the integrated energy system are studied. The real-time transient energy analysis model of a typical integrated energy system is constructed. It integrates components, subsystems and the integrated system across different scales. The generation-storage-load dynamic performance of the integrated energy system are analyzed. A comprehensive performance evaluation method that consider efficiency, economy, environmental friendliness (3E), self-balancing, sufficiency, stability (3S) characteristics is developed. Furthermore, the configuration optimization flow of “decoupling dimension reduction - sample test - data training” is proposed. Results demonstrate the optimal configuration is achieved when the rated power generation capacity is 100 MW, the energy storage proportion is 40%, and the energy storage duration is 5 h. The system's comprehensive performance is optimized by an improvement of 2.72% compared to the initial configuration.