The flexible ramp reserve of dispatchable generators is a key effective means to compensate the fast fluctuation of wind power generators and the forecast error of demand. This article proposes a stochastic network-constrained unit commitment (NCUC) model to determine, on daily horizon, the optimal schedule of generation units along with the required flexible ramp and spinning reserves under uncertainties of wind power and demand. Point estimate method (PEM) is utilized to reduce the number of scenarios that model wind power and demand uncertainties. In addition to PEM scenarios, some worst-case scenarios based on regional wind and demand variations are defined and incorporated in the proposed model. The NCUC model includes for these scenarios various technical constraints of generation units and operation constraints of the network. To ensure computational tractability of NCUC model, the ac network operation constraints are linearized. The proposed mixed integer linear programming NCUC model is tested using the IEEE 118-bus system. The obtained results show better units scheduling than the conventional (deterministic) NCUC model.

中文翻译：

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随机网络约束机组承诺确定用于处理风电和需求不确定性的灵活斜坡储备


可调度发电机的灵活爬坡储备是补偿风电机组快速波动和需求预测误差的关键有效手段。本文提出了一种随机网络约束机组组合（NCUC）模型，用于在风电和需求不确定的情况下，每日确定发电机组的最佳调度以及所需的灵活爬坡和旋转备用。利用点估计法（PEM）来减少对风电和需求不确定性进行建模的场景数量。除了 PEM 场景之外，还定义了一些基于区域风力和需求变化的最坏情况场景，并将其纳入所提出的模型中。 NCUC 模型针对这些场景包括发电机组的各种技术约束和网络的运行约束。为了确保 NCUC 模型的计算易处理性，交流网络运行约束被线性化。所提出的混合整数线性规划 NCUC 模型使用 IEEE 118 总线系统进行测试。获得的结果显示比传统（确定性）NCUC 模型更好的单元调度。