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

机译:负荷对电力系统风险基础扰动安全配置的影响

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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:本文建立了一种通用严重性函数,可用于生产电力系统安全风险配置文件。通过分析系统负荷属性对电力系统的小扰动转子角度稳定性的影响来说明。贡献到振荡模式的负载属性可以被认为是电力系统内固有的不确定变量,并且包括负载功率变化,负载组合和负载模型参数。可再生能源发电的不确定性也纳入概率建模和风险评估,以证明这种方法的灵活性。提出了一种新的方法来选择逻辑上的严重性函数来代表小扰动安全保证金。考虑到电力系统临界模态阻尼的概率密度函数(PDF)和所选的严重性集合,已经提出了电力系统的风险概况。开发的分析技术用68母线网-NYPS电力系统的改进版本,具有高量可再生功率穿透。负荷属性的相对重要性以及这些属性对稳定边界的影响,在不同的风险水平上识别了它们对小扰动稳定性的贡献。

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