? 2022 Elsevier B.V.Integrated energy system (IES) is difficult to achieve the optimal scheduling of the system due to the coupling of multiple energy devices and the high volatility of renewable energy loads. To address the above problems, a chaos-based particle swarm algorithm is proposed, which uses a chaotic mapping of optimal particles by a Logistic algorithm to increase the anisotropy of particles and improve the search accuracy in the case of wide area multi-polarity. The example analysis shows that the chaotic particle swarm algorithm can improve the economic cost by 3.868% compared with the conventional particle swarm after increasing the number of iterations. Finally, based on this algorithm, the economic impact of the energy storage device on the integrated energy system is analyzed. The results show that the IES system based on the composite energy storage can reduce the total economic cost significantly, while avoiding the excessive use of other energy supply devices and ensuring the stability of the overall IES system operation.
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