A two-stage robust low-carbon operation strategy for interconnected distributed energy systems considering source-load uncertainty

Sen Zhang, Weihao Hu, Xilin Cao, Jialin Du, Yincheng Zhao, Chunguang Bai, Wen Liu, Ming Tang, Wei Zhan and Zhe Chen

Applied Energy, 2024, vol. 368, issue C, No S0306261924008407

Abstract: Interconnected distributed energy systems (DESs) can facilitate multi-energy consumption, improve energy efficiency, and advance decarbonization goals. In this context, this study proposes an energy sharing framework that considers multiple uncertainties to optimize the low-carbon robust economic operation of interconnected DESs. First, a low-carbon dispatch model for DESs that includes electricity and heat sharing, integrated demand response (IDR), and low-carbon policies is constructed. Then, a two-stage robust optimization model is developed considering the source-load uncertainty, and the Karush-Kuhn-Tucker (KKT) condition is introduced to transform the max-min problem in the second stage into a single-layer issue. In addition, an approach combining the alternating direction multiplier method (ADMM) with the column-and-constraint generation algorithm (CCG) is proposed for a distributed and hierarchical solving of the two-stage energy sharing problem. Finally, to address the issue of transactional payments for energy sharing, a profit allocation model based on multi-factor contributions is developed to ensure that the benefits generated by the sharing system are fairly distributed. Based on actual data simulation, the effectiveness of the two-stage robust sharing scheme presented in this study is demonstrated for economy and carbon reduction.

Keywords: Distributed energy systems; Energy sharing; Source-load uncertainty; Alternating direction multiplier method-column-and-constraint generation algorithm; Low-carbon operation (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.apenergy.2024.123457

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