消纳大规模风电的鲁棒区间经济调度:（一）调度模式与数学模型

大规模风电接入给电力系统调度运行带来挑战。传统的确定性调度方法没有合理地考虑风电的不确定性,因此无法保证系统的安全运行。面向日内的有功调度,文中提出一种利用风电预测区间的鲁棒风电调度模式,使得风电场尽可能运行在最大功率点追踪模式,该模式具有控制灵活和可操作性强的特点。基于该调度模式,建立考虑自动发电控制(AGC)调节响应的鲁棒区间经济调度模型及其等价二次规划模型。最后,在改进的IEEE 24节点系统上进行蒙特卡洛仿真并与传统调度方法对比,验证了所提出的经济调度方法的鲁棒性、可靠性和经济性。

A Robust Interval Economic Dispatch Method Accommodating Large-scale Wind Power Generation:Part One Dispatch Scheme and Mathematical Model

Large-scale wind power integration imposes technical challenges to the power system operation and scheduling. Traditional deterministic generation dispatch methods cannot ensure system operation security because they don't incorporate wind power uncertainties appropriately. A new robust dispatch scheme based on the wind power prediction interval is introduced for intra-day active power dispatch, in which wind farms are controlled with the maximum-power-point-tracking strategy mostly. This scheme is featured with flexibility and practicality. In combination with this scheme, a robust interval economic dispatch model is formulated as a robust optimization method and further simplified as a quadratic programming, taking the response of AGC regulation into consideration. Finally, Monte Carlos simulations are conducted on a modified IEEE 24-bus system to compare performance of the proposed approach and the traditional one, and the robustness, reliability and economy of the robust dispatch scheme is verified.