Optimization design and full life cycle feasibility analysis of energy system in power grid interactive building

As the energy crisis, extreme weather, and power grid supply-demand imbalance become increasingly severe, the global demand for green and low-carbon energy operation and system configuration is also growing. Equipping renewable energy systems and energy storage systems in grid interactive buildings and conducting effective dispatching is one of the ultimate ways to solve the energy supply problem. To achieve collaborative optimization of power grid interactive building energy system and operation strategy, this paper proposes the determination method of reasonable weight intervals and system capacities under different objectives, and conducts feasibility and rationality analysis of the full life cycle, so as to realize the optimization design of the energy system and improve the economic benefits, flexible gains, and energy efficiency of the system. In this study, the capacity interval of the system design is further optimized and precision, thus supplementing the capacity determination model with a reasonable weight interval calculation method that comprehensive flexibility, economy, and energy conservation. This method can provide substantive solutions and technical guidance for system optimization configuration of different target subjects (users, power grid, or government) projects, thereby establishing an integrated optimization framework for system capacity configuration, operation scheduling, and lifecycle benefits. Furthermore, the rationality of the weight interval and the feasibility of the full life cycle are verified by means of simulation analysis. The research results indicate that precooling/preheating does not have the feasibility of the full life cycle during the system design phase. The weight interval calculation method provides a reasonable and precise capacity interval that comprehensive various weight requirements. The average investment, energy saving, and flexible yield rates across various weight change cases can reach 242.04%, 1684.97%, and 5452.66%.