基于预测控制的含风电滚动优化调度

发布时间：2018-03-31 17:52

本文选题：风电　切入点：电力调度　出处：《电工技术学报》2017年17期

【摘要】：在预测控制理论的基础上建立了含风电的滚动优化调度模型,将常规火电机组、风电机组的有功出力视为预测控制的状态量,常规火电机组的出力调整量视为输入量,以状态空间的形式描述状态量和输入量之间的关系。通过对目标函数和约束条件进行状态空间转换,使滚动调度问题转变为矩阵形式的优化问题,建立了一种多机组多预测时段的滚动优化调度数学模型。并根据矩阵的特性对目标函数进行了化简,使优化问题转换为二次规划形式,推导了全矩阵约束时的内点法增量矩阵,便于应用内点法进行模型求解。此外,还对滚动优化的决策稳定性问题进行了理论分析。仿真算例表明,相比传统的单时刻优化,基于预测控制的含风电滚动优化模型在整体优化水平和调度决策前瞻性方面具有优势。
[Abstract]:On the basis of predictive control theory, the rolling optimal dispatching model with wind power is established. The active power output of conventional thermal power units and wind turbine is regarded as the state quantity of predictive control, and the output adjustment of conventional thermal power units is regarded as input. The relationship between state variables and input variables is described in the form of state space. By transforming the objective function and constraint conditions into state space, the rolling scheduling problem is transformed into an optimization problem in matrix form. A rolling optimal scheduling mathematical model for multi-unit and multi-prediction period is established, and the objective function is simplified according to the characteristics of the matrix, the optimization problem is transformed into quadratic programming form, and the increment matrix of interior point method is deduced when the full matrix is constrained. In addition, the stability of rolling optimization decision is analyzed theoretically. The simulation example shows that compared with the traditional single time optimization, the stability of rolling optimization can be solved easily. The wind power rolling optimization model based on predictive control has advantages in overall optimization level and forward-looking scheduling decision.
【作者单位】：南京理工大学能源与动力工程学院;
【基金】：国家自然科学基金资助项目(51607091)
【分类号】：TM73

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