Optimization of energy output in multimodal and multi-load CCHP systems with integrated electric energy storage

作者：Yu Zhang, Hongcheng Li, Zhehui Yan, Huajun Cao, Haihong Shi, Yachao Jia · 发表于：Energy Reports · 年份：2025 · DOI：10.1016/j.egyr.2025.03.055 · 被引用次数：3 · 研究领域：Integrated Energy Systems Optimization、Thermodynamic and Exergetic Analyses of Power and Cooling Systems、Hybrid Renewable Energy Systems

In energy supply networks, fluctuations in external energy inputs and internal equipment power consumption critically impact system output stability, necessitating advanced optimization strategies for multi-energy systems. To address this, a novel Combined Cooling, Heating, and Power (CCHP) system is proposed, integrating grid, internal combustion engine, gas boiler, lithium bromide absorption chiller, waste heat recovery system, electric chiller, and electric energy storage (EES). Targeting multi-energy load demand, four operation strategies are defined based on load prioritization while considering equipment power self-sufficiency and time-of-use tariffs: FPL-H (prioritize heating load after meeting electrical demand), FPL-C (prioritize cooling load after meeting electrical demand), FHL-P (prioritize cooling and electrical loads after meeting heating demand), FCL-P (prioritize heating and electrical loads after meeting cooling demand). To optimize equipment capacity and dispatch strategies, a bi-layer framework based on the P (Particle Swarm Optimization)-G (Gaussian mutation) algorithm is developed. The result shows that FPL-C strategy achieves minimal comprehensive economic cost (3471.16 ¥/day) at an optimal EES capacity of 119.26 kW, and reduction of 4.25 % in the amount of electricity purchased from the grid outside the minimum tariff period. Moreover, the study reveals the impact of the EES’s maximum discharge power and storage capacity on system performance and compre...