To address uncertainties, two-stage robust optimization (TSRO) methods have been widely used for power system operation and planning problems. However, solving TSRO problems with integer recourses of energy storage systems (ESSs) is challenging. This article proposes a feasibility pump based column and constraint generation (FP-CCG) solution algorithm to solve these TSRO problems. In this article, firstly, a TSRO problem of ESS operation with state-of-charge management is formulated. Then, the FP-CCG algorithm is proposed and applied to solve this TSRO problem. Simulation results indicate full solution robustness and high computation efficiency of the proposed FP-CCG solution algorithm.

中文翻译：

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一种基于储能系统整数资源的两阶段鲁棒优化的可行性泵求解算法

为了解决不确定性，两阶段鲁棒优化（TSRO）方法已广泛用于电力系统运行和规划问题。然而，用储能系统 (ESS) 的整数资源解决 TSRO 问题具有挑战性。本文提出了一种基于可行性泵的列和约束生成（FP-CCG）求解算法来解决这些 TSRO 问题。在本文中，首先制定了具有充电状态管理的 ESS 运行的 TSRO 问题。然后，提出并应用FP-CCG算法来解决这个TSRO问题。仿真结果表明，所提出的FP-CCG求解算法具有全解鲁棒性和高计算效率。