论文标题

改进的弯曲器分解算法,用于集成电气系统中的稳态调度问题

An Improved Benders Decomposition Algorithm for Steady-State Dispatch Problem in an Integrated Electricity-Gas System

论文作者

Gao, Han, Li, Zhengshuo

论文摘要

最佳运行集成电气系统(IEG)对能源部门很重要。但是,IEGS操作模型的非范围使解决IEG中最佳调度问题的挑战。这封信提出了改进的弯曲器分解(IBD)算法,该算法适合于常用的IEG稳态调度模型。该IBD算法利用了精制的分解结构,子问题成为线性并准备并行解决。我们通过分析将IBD算法与现有弯曲器分解算法和典型的分段线性化方法进行分析。案例研究证实了我们的IBD算法的较高计算效率。

Optimally operating an integrated electricity-gas system (IEGS) is significant for the energy sector. However, the IEGS operation model's nonconvexity makes it challenging to solve the optimal dispatch problem in the IEGS. This letter proposes an improved Benders decomposition (IBD) algorithm catering to a commonly used steady-state dispatch model of the IEGS. This IBD algorithm leverages a refined decomposition structure where the subproblems become linear and ready to be solved in parallel. We analytically compare our IBD algorithm with an existing Benders decomposition algorithm and a typical piecewise linearization method. Case studies have substantiated the higher computational efficiency of our IBD algorithm.

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