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The Influence of Load on Risk-Based Small-Disturbance Security Profile of a Power System

机译:负载对电力系统基于风险的小扰动安全配置文件的影响

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This paper establishes a generic severity function that can be used to produce power system security risk profiles. It is illustrated by analyzing the impacts of system load attributes on the small-disturbance rotor angle stability of a power system. The load attributes contributing to the oscillatory modes can be considered as inherent uncertain variables within power systems and include load power variations, load composition, and load model parameters. Uncertainty in the renewable power generation is also incorporated in the probabilistic modelling and risk assessment to demonstrate the flexibility of the approach. A novel approach is proposed to select the severity functions to logically represent small-disturbance security margin. The risk profile of a power system has been presented considering the probability density functions (pdfs) of power system critical modal damping and a selected set of severity functions. The analysis techniques developed are illustrated with a modified version of the 68-bus NETS-NYPS power system with a high amount of renewable power penetration. The relative importance of the load attributes and the impact of these attributes on stability boundaries has been identified at varying risk levels with respect to their contribution to small-disturbance stability.
机译:本文建立了通用的严重性函数,可用于生成电力系统安全风险概况。通过分析系统负载属性对电力系统小扰动转子角稳定性的影响来说明这一点。可以将有助于振荡模式的负载属性视为电力系统中的固有不确定变量,并且包括负载功率变化,负载组成和负载模型参数。概率建模和风险评估中还纳入了可再生能源发电的不确定性,以证明该方法的灵活性。提出了一种新颖的方法来选择严重性函数以逻辑上表示小扰动安全裕度。考虑到电力系统关键模态阻尼的概率密度函数(pdfs)和一组选定的严重性函数,已经给出了电力系统的风险概况。所开发的分析技术以68总线NETS-NYPS电力系统的改进版本进行了说明,该系统具有大量可再生能源渗透能力。关于载荷属性的相对重要性以及这些属性对稳定性边界的影响,已在不同的风险水平下确定了它们对小扰动稳定性的贡献。

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