TWO-STAGE MULTI-OBJECTIVE COLLABORATIVE PROGRAMMING METHOD FOR IES CONSIDERING MULTIPLE UNCERTAINTIES

Yang Shiming; Li Rui; Zhao Xin; Han Zhonghe; Zhang Han; Wu Di

doi:10.19912/j.0254-0096.tynxb.2024-0011

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (4) : 220-231. DOI: 10.19912/j.0254-0096.tynxb.2024-0011

TWO-STAGE MULTI-OBJECTIVE COLLABORATIVE PROGRAMMING METHOD FOR IES CONSIDERING MULTIPLE UNCERTAINTIES

Yang Shiming^1,2, Li Rui^1,2, Zhao Xin^1,2, Han Zhonghe^1,2, Zhang Han^1,2, Wu Di^1,2

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Abstract

In response to the multiple uncertainties of source and load, as well as the independent of capacity and operation programming in integrated energy system（IES）, a two-stage multi-objective stochastic programming model is established. This model integrates the Latin Hypercube Sampling method and a scenario curtailment method based on Wasserstein distance to construct a stochastic hierarchy scenario generation model to address the multiple uncertainties of source and load. It handles multi-objective optimization and the collaborative programming of capacity and operation through the ε-constraint method and Benders decomposition. The results show that the established stochastic hierarchy scenario generation model can better characterize the multiple uncertainties of source and load; the renewable energy share（RES） in the programming results can reach 80%, with only a 20% net interaction level（NIL）, and an ATC of 17.52 million yuan. While achieving a high proportion of renewable energy consumption and enhancing system independence, it also possesses strong supply-demand collaborative capability. Moreover, increasing the RES will reduce the economic performance of the system, but the reduced economic performance can be mitigated by improving the NIL.

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energy management systems / stochastic programming / multi-objective optimization / integrated energy system / Benders decomposition / collaborative programming

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Yang Shiming, Li Rui, Zhao Xin, Han Zhonghe, Zhang Han, Wu Di. TWO-STAGE MULTI-OBJECTIVE COLLABORATIVE PROGRAMMING METHOD FOR IES CONSIDERING MULTIPLE UNCERTAINTIES[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 220-231 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0011

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