摘要
大规模风电场接入高压输电网,将对电能传输与分配产生较大影响,有必要开展计及风电场出力特性的关键输电断面研究。通过将调度计划纳入到电网分析,引入风速和负荷预测误差的概率分布函数来描述系统中存在的不确定性因素,提出了一种基于概率潮流分析和复杂网络理论的电网分区及关键输电断面自动分析算法。该算法建立了动态关键输电断面分析模型以考虑电网调度运行的灵活性。在概率潮流分析的基础上,提出了计及不确定性因素的输电介数指标用于关键线路识别,进而基于电网小世界特性的分析,利用GN(Girvan Newman)算法将电网分割聚类,发现关键输电断面并对其重要性排序。通过含有风电场的CEPRI 36节点系统仿真计算,验证了本文模型、算法的有效性和实用性,并说明了含风电场电力系统的输电断面所具有的特点。
Accessing of large-scale wind farms to high voltage power transmission grids will have greater effect on electric energy transmission and distribution, it is necessary to study key power transmission sections considering output characteristics of wind farms. By means of bringing dispatching plan into power grid analysis and introducing probability distribution functions of wind speed and load forecast errors to describe uncertain factors in the system, a kind of automatic analysis algorithm for power grid division and key power transmission sections based on probabilistic load flow （PLF） analysis and complex network theory is proposed to establish an analysis model for dynamic key power transmission sections for considering flexibility of power grid dispatching operation. On the basis of PLF analysis, power transmission betweenness considering uncertain factors is presented for line identification. And then, based on analysis for small world characteristics of power grids, Girvan Newman algorithm is used for power grid division clustering so as to find out key power transmission sections and sort their importance. Simulation calculation on CEPRI 36 node system integrated with wind farms verifies effectiveness and practicability of this model and algorithm as well as explains features of power transmission sections of power systems in- tegrated with wind farms.
出处
《广东电力》
2016年第10期54-61,共8页
Guangdong Electric Power
基金
广东电网有限责任公司科技项目(K-GD2014-198)
关键词
动态关键输电断面
风力发电
不确定性
输电介数
电网分区
复杂网络
dynamic key power transmission section
wind power generation
uncertainty
power transmission betweenness
power grid division
complex network
