摘要
由于风能具有很强的随机性,风电预测的误差很大,另外风电具有反调峰特性,而现有水火电机组调峰能力有限,使电力系统调度十分困难。通过对风电预测误差进行统计,建立了在不同风能输出功率水平下预测误差的离散概率分布模型。与系统中机组的累积停运容量概率表结合形成考虑风电的累积停运容量概率表,并采用高斯函数拟合。将投运风险度约束以解析表达的方式引入机组组合的拉格朗日松弛法中,建立考虑风电并网条件下概率约束备用的机组组合模型。最后以26节点测试系统为例,分析了风电接入对机组组合结果的影响。
Respond to the country;s policies of energy-saving, emission-reduction, and new resource development, combining with geographical characteristics, Heilongjiang province has developed wind power rapidly and got the planned generating capacity. Because of the great stochastic of wind power, it is difficult to forecast it accurately. Furthermore, the wind power has the anti-adjusting peak characteristic, which makes power system dispatching difficult more and more with the limited adjusting peak ability of water and thermal power generation. In this paper, based on the analysis of power grid adjusting ability of Heilongjiang province, the necessary methods will be proposed. A dispersed probability distribution model is built based on statistics of wind power forecasting errors, and the Cumulated Outage Capacity Table of the units is combined with this model and fitted by Gaussian function. Unit commitment risk constraint from Gaussian function fitting is introduced in the Lagrangian Relaxation to handle the Unit Commitment with Wind Power. Finally, the detailed analysis of a 26-bus test system gives the impact on results of Unit Commitment.
出处
《东北电力大学学报》
2009年第1期1-7,共7页
Journal of Northeast Electric Power University
关键词
电力系统
风电
调峰
负荷预测
机组组合
Power system
wind power
Adjusting peak
Load forecasting
Unit commitment
