基于相关机会目标规划的电力系统日内滚动调度

Intraday Rolling Dispatching of Power System Based on Dependent Chance Goal Programming

可再生能源大规模接入电力系统的背景下,考虑可再生能源出力不确定性对电力系统日内滚动调度模型功率平衡方程的影响,建立了含有预测误差不确定变量的功率平衡方程。为了实现含有不确定变量功率平衡方程的求解,将功率平衡方程的等式约束转化为最大化随机事件成立概率的目标函数,建立相关机会规划模型。考虑可再生能源出力不确定性,兼顾方案的鲁棒性和经济性,建立了系统旋转备用容量的机会约束模型。为了实现所建随机优化调度模型的快速求解,提出基于采样的机会约束条件确定性转化方法,将所建含有多个随机变量的机会约束条件进行等效确定性转换,又引入目标优化将所建多目标优化模型转化为单目标优化模型。最后,算例仿真验证了所建模型的有效性。

In the context of the large-scale renewable energy integrated into power system,the power balance equation with uncertain variables of prediction error is established considering the influence of renewable energy output uncertainty on the power balance equation in the intraday rolling dispatching model of the power system.In order to solve the power balance equation with uncertain variables,the equation constraint of power balance equation is transformed into the objective function to maximize the probability of occurrence of random events,and the dependent chance programming is established.Considering the uncertainty of renewable energy output,the robustness and economy of the scheme,the chance-constrained model of the system spinning reserve capacity is established.In order to improve the efficiency of solving the stochastic optimization dispatching model,a deterministic transformation method of chance-constrained conditions based on sampling is proposed,in which the chance-constrained conditions with multiple random variables are equivalently deterministically transformed,and then the goal programming is introduced to transform the multi-objective optimization model into a single-objective optimization model.Finally,an example is discussed to demonstrate the effectiveness of the proposed model.