计及功率预测误差的主动配电网运行方式优化

Optimization of Run Mode of Active Distribution Network with Power Prediction Error

主动配电网的运行方式优化中,节点功率数据通常来自功率预测,存在预测误差及相应的分布特性,从而可以采用概率表达进行描述。计及功率预测误差的分布特征,以综合运行费用均值为目标函数,节点功率平衡方程为等式约束,节点电压和支路功率等变量的运行范围构成不等式约束,建立主动配电网运行方式的概率优化模型。通过分析优化算式的特点,采用二阶潮流表达的概率描述,在随机变量的均值计算中计及方差修正,提高均值计算的准确度。在优化模型求解中,依据变量的实际特点,对离散变量和连续变量采用不同的处理方式,应用信赖域管理技术处理连续变量。通过118节点算例的计算分析,说明所述算法的可行性和实用性。

In terms of the active distribution of the power grid,the node power data was usually derived from the power prediction,with the forecast error and the distribution characteristics,and it could be described by probability expression.A distribution characteristic of the power prediction error was taken into account,and the mean of expenses as the objective function,and the node power balance equation constituted the equation constraint,and the operating range of nodal voltage,branch power and other variables constituted the inequality constraint,so a probabilistic optimization model of active distribution network operation mode was established.By analyzing the characteristics of the optimization formula,the probability description of second-order power flow was adopted to calculate and correct the variance in the mean calculation of random variables,so as to improve the accuracy of the mean calculation.In the optimization model solution,according to the actual characteristics of variables,discrete variables and continuous variables were treated in different ways,and trust domain management techniques were applied to handle continuous variables.The calculation and analysis in the 118-bus example showed that the proposed algorithm was feasible and practical.