Abstract
To solve the inefficient operation problem of integrated energy systems, a multi-objective collaborative optimization operation of integrated energy system considering automatic demand response and energy storage was constructed in this paper. And the model is solved by Tent mapping chaos optimization NSGA - II algorithm, applied to the actual example of a typical energy system in a typical park in China. The simulation results show that the integrated energy systems that consider automatic demand response and energy storage have significant economic, technical and environmental benefits compared to the other three scenarios, facilitating the integration of new energy.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
