基于IGDT的网架重构过程中风电场出力调度

风电具有启动功率小、启动速度快等特点,在停电系统恢复过程中利用风电为其提供功率支持,可以加快系统负荷的恢复。由于风电出力的不确定性,需要对风电场出力进行调度,减小风电场出力的波动范围,在保证已恢复系统安全的前提下提高风电的利用效率。为此,文中提出了一种基于信息间隙决策理论(IGDT)的风电场出力调度方法。首先建立不考虑风电出力不确定性时的风电场出力参考值确定性模型,然后基于IGDT方法将确定性优化模型转变为考虑风电不确定性的风电场出力调度优化模型,再利用人工蜂群算法对优化模型进行求解,最后以IEEE 39节点系统和江苏实际系统为例验证了文中方法的有效性。

IGDT based power dispatch for wind farms participating in power system restoration

Because the wind generation has a quick starting speed and needs small cranking power, it can be employed to accelerate the restoration speed of blackout system. Because of the uncertainty of wind power output, the output power of wind farm must be scheduled to reduce the fluctuation and ensure the security of restored system, as well as enhance the efficiency of wind power utilization during system restoration. In this paper, an information-gap decision theory (IGDT) based optimization model is proposed to dispatch the power of wind farms during system restoration. Firstly, the deterministic model is established without considering the wind power uncertainty. Then the deterministic model is transferred to the robust model by IGDT considering the uncertainty of wind power, which is solved by artificial bee colony method. Lastly, the method is verified in the New England system and part of Jiangsu power grid.