摘要
风场内的相关风速对系统的安全经济运行有一定影响。为模拟同一风场内不同位置风速相关性,提出基于多元正态Copula函数及秩相关矩阵度量的方法,量化分析风场内风速相关性。建立风场相关风速样本空间,根据风机出力特性得到风场出力聚合模型。以节能发电调度为原则,对IEEE 30节点和IEEE 300节点系统进行蒙特卡罗最优潮流仿真,结果显示计及风场聚合效应后,风场内部出力的"关联性"及"互补性"得到体现,单位发电成本和支路功率波动范围减小,对节能发电调度策略制定和系统运行方式安排有更明确的指导作用。
The related wind speed in a wind farm has some effect on power system safe and economic operation. In order to simulate the coherence of wind speed between different positions in a wind farm, this paper applies multivariate normal copula function and rank correlation matrix to quantify the coherence of wind speed in a wind farm. Then it establishes the correlate wind sample space and gets the polymerization model of wind farm output according to wind turbine＇s active power characteristic. Monte Carlo optimal power flow whose principle is energy-conservation power generation scheduling will be applied to IEEE 30 and IEEE 300 buses system. The case study shows the ＂relevance＂ and ＂complementarity＂ in wind farm internal output as well as the reducing of fluctuation ranges in unit generating cost and branch power while considering wind farm polymerization effect. This will provide explicit guidance to improve the level of energy-conservation power generation scheduling and arrange systems operation.
出处
《贵州电力技术》
2016年第9期1-8,共8页
Guizhou Electric Power Technology
关键词
COPULA函数
风场聚合模型
秩相关
最优潮流
节能发电调度
copula function
wind farm polymerized model
rank correlation
optimal power flow
energy-conservation
power generationscheduling
