计及源荷区间不确定性的电力系统日前优化调度

Day-ahead optimal dispatch of power system consideringsource and load interval uncertainties

由于数据缺乏或统计规律复杂,现有调度决策难以准确获知新能源及负荷的概率分布,为此文中提出计及源荷区间不确定性的电力系统日前优化调度方法。首先,基于预测误差建立风电、光伏及各类负荷的区间数模型;其次,以日综合运行费用为目标函数,考虑发电机、储能以及正负备用等约束条件,构建区间优化调度数学模型;然后,应用区间优化理论,在一定的区间可能度下将区间优化问题转化为确定性问题进行求解,获取区间优化调度方案;最后,基于修改后的IEEE 10机39节点系统,对区间优化调度方法的有效性进行验证。结果表明,所提方法决策灵活,通过调节区间可能度,可较好地平衡调度方案的经济性与安全性,且计算量小,特别适用于解决仅掌握变量变化范围的优化调度问题。

Due to lack of data or the complex statistical characteristics,it is difficult to ascertain the probability distribution of new energy and various loads when making dispatch decisions.A day-ahead optimal dispatch method of power system considering source and load interval uncertainties is proposed.Firstly,the interval number models of wind power,photovoltaic and various loads are established based on the prediction error.Secondly,taking the daily comprehensive operating cost as the objective function,and considering the constraints of generators,energy storage,and positive and negative backup,a mathematical model of interval optimal dispatch is constructed.Then,by applying interval optimization theory,the interval optimization problem is transformed into a deterministic problem under a certain interval possibility to solve,and the interval optimization dispatch scheme is obtained.Finally,the proposed method is applied in the modified IEEE 10-generator and 39-bus system to validate its effectiveness.The results show that the proposed method is flexible in decision-making.By adjusting the interval possibility degree,the economy and security of the dispatch scheme can be well balanced,and the amount of calculation is small.It is especially suitable for solving the optimal dispatch problem that only grasps the variation range of variables.