This paper proposes a risk-averse time-series joint scheduling method to release inherent benefits for improvements on operational cost, voltage profile and risk control, through flexibility extraction from grid-storage-demand resources in active distribution networks (ADNs). In particular, a flexibility analytical framework is developed to fully harness the controllability of various resources in both spatial and temporal scales, and is available for future analysis. The expected operational cost and the risks imposed by uncertainties are simultaneously addressed via conditional value at risk while satisfying physical and operating constraints, in which a sample weighted average approximation (SWAA) technique is employed for approximating the faced uncertainties. The SWAA-based stochastic scheduling problem is further transformed into a second-order cone programming problem via linearization and conic relaxation. Numerical simulations on 33-bus and 123-bus test systems verify the effectiveness of the proposed method.

中文翻译：

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不确定的有源配电网中的灵活性规定

本文提出了一种风险规避时间序列联合调度方法，该方法通过从主动配电网（ADN）的电网存储需求资源中灵活提取来释放运营成本，电压曲线和风险控制方面的固有优势。特别是，开发了一种灵活性分析框架，以充分利用空间和时间范围内各种资源的可控性，并且可用于将来的分析。预期的运营成本和不确定性带来的风险通过满足风险的条件值同时满足物理和操作约束，同时采用样本加权平均逼近（SWAA）技术来近似面对的不确定性。通过线性化和圆锥松弛，将基于SWAA的随机调度问题进一步转化为二阶锥规划问题。在33总线和123总线测试系统上的数值仿真验证了该方法的有效性。