Abstract
Abstract To solve the multi-energy capacity allocation problem, a hybrid power system planning model based on complex adaptive system theory (CAS) is proposed considering the temporal and stochastic characteristics of renewable energy sources. The objective function of the model is to maximize economic efficiency, with various types of power sources as adaptive agents and power generation as the decision variable. The model achieves rational allocation of multi-energy generation capacity through the adaptive effects between entities and the environment as well as the behavior rules of constantly changing entities. The actual power system is selected for simulation and compared with the Pareto solution set. Results show that the optimal configuration of power structure based on CAS can significantly improve the consumption of renewable energy and is more in line with the operating mode of the actual power system.
Published Version
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