With the increase in wind generation installed capacity, the uncertainty of wind power has brought great challenges to wind power accommodation. The accurate assessment result of wind power accommodation capability (WPAC) has important guiding significance to the formulation of the day-ahead wind power trading plan for the multi-energy microgrid (MEMG). This paper proposes a WPAC assessment method for the MEMG. A liner energy flow model is first derived based on the equivalent infinitesimal replacement and the mild assumption that supply temperatures of different heat load nodes are nearly the same. Then, the operational risk model easily embedded into the assessment model is established based on the probability distributions of prediction error corresponding to multiple wind power output ranges. Finally, the WPAC assessment model is constructed as a two-stage robust optimization problem and solved by the column-and-constraint generation (C&CG) algorithm. Simulations on a MEMG composed of the IEEE 33-bus power system and the 23-node district heating network (DHN) verify the effectiveness of the proposed method.

中文翻译：

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一种多能源微电网风电消纳能力评估方法


随着风电装机容量的增加，风电的不确定性给风电消纳带来了巨大的挑战。风电消纳能力（WPAC）的准确评估结果对于多能源微电网（MEMG）日前风电交易计划的制定具有重要的指导意义。本文提出了一种针对 MEMG 的 WPAC 评估方法。首先基于等效无穷小替换和不同热负荷节点的供电温度几乎相同的温和假设推导了线性能量流模型。然后，根据多个风电出力范围对应的预测误差概率分布，建立易于嵌入评估模型的操作风险模型。最后，WPAC 评估模型被构建为两阶段鲁棒优化问题，并通过列和约束生成（C&CG）算法求解。对由 IEEE 33 总线电力系统和 23 节点区域供热网络（DHN）组成的 MEMG 进行仿真验证了该方法的有效性。