电力系统复杂事件的交叠空间及其提取

Overlapped Space of Power System Complex Event and Its Determination

电网实际运行中,可观测的系统状态量与发生的复杂事件并不完全对应,用属性集合描述高维复杂事件往往存在不可判区域,有必要将该区域视为诸多不确定性问题的关键研究范围。为此,针对电力系统复杂事件与相关特征属性的不确定性关系,提出电力系统复杂事件的交叠空间概念。通过数学论证和应用举例论证了其合理性,并提供了极值交叠、分布区间截断和空间聚类3种交叠空间的提取方法。算例结果验证了该算法的有效性。

In the traditional research of power system uncertainty issues, parameters＇ uncertainty is the focus. Some undecidable areas are always generated when high-dimensional events are described by the set of attributes, so it is necessay to regard undecidable areas as the key research scope of a lot of uncertainty uncertain relationships. So, to research the uncertainty relationship between power system complex event and its attributes, a concept of overlapped space of power system complex event is put forward, and its rationality has been demonstrated by the mathematic argumentation and application examples. Three methods to deternine overlapped spaces, i.e., extremum overlapping, distribution interval truncation and spatial clustering, are given. The effectiveness of the proposed mehtod is verified by simulation results of IEEE standard 50-machine system.