基于机会约束规划的直接负荷控制及可中断负荷联合优化调度研究
Research on the Joint Optimal Dispatch of DLC and IL Based on Chance Constrained Programming
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摘要: 为充分利用需求响应资源,可对不同需求响应资源进行整合。本文以调度成本最低为目标函数,构建了含直接负荷控制和可中断负荷的优化模型。对比了直接负荷控制及可中断负荷在受控量、受控时间、补偿价格等方面的异同,重点分析了两者在负荷反弹方面的差异。采用机会约束考虑了负荷预测的不确定性,并将机会约束转化为其确定性等价形式。采用拉格朗日松弛法对确定性模型求解,并采用蒙特卡罗模拟对机会约束置信水平进行验证。算例表明模型综合了直接负荷控制移峰和可中断负荷削峰特点,可有效降低系统高峰时段负荷,避免二次负荷高峰的产生。Abstract: Different kinds of demand response resources can be integrated together to make full use of them. The optimal dispatch model that contains direct load control (DLC) and interruptible load (IL) is proposed to minimize the scheduling cost. The differences or similarities among controlled amount, controlled duration and compensation price are compared, especially the difference in energy payback of DLC and IL. Chance constraint is used to handle the uncertainties in load forecasting, and the chance constraint is converted into its deterministic equivalent form. In addition, the lagrangian relaxation method is used to solve the deterministic model, and the preset confidence level is verified through Monte Carlo simulation. The model that integrates the peak removing characteristic of DLC and peak clipping characteristic of IL can effectively reduce the load peak and eliminate the second peak load.