考虑净负荷不确定性的配电网负荷恢复仿射可调鲁棒优化方法
Affine adjustable robust optimization method for load recovery in distribution networks considering net load uncertainty
徐天奇 1孙闯 2李琰 1李晓兰 2崔琳 2赵鑫2
作者信息
- 1. 云南民族大学 电气信息工程学院,昆明 650504;云南省无人自主系统重点实验室,昆明 650504
- 2. 云南民族大学 电气信息工程学院,昆明 650504
- 折叠
摘要
为应对负荷恢复过程中源荷双重不确定性问题,提出了基于仿射可调鲁棒优化的配电网负荷恢复调整策略.第1阶段基于净负荷预测场景,建立一个以最大化加权负荷恢复量为目标函数的优化模型,决策最优的负荷恢复量;第2阶段采用仿射策略,利用预算不确定集来描述净负荷的不确定性,构建考虑净负荷误差的负荷恢复调整方案.在求解过程中,对双线性变量进行对偶变换得到可快速求解的线性规划模型.最后,在改进33节点和123节点配电系统进行仿真验证,结果表明:相比于传统的鲁棒优化方法,该方法降低了优化结果的保守性,有助于加快负荷恢复,减小停电损失.
Abstract
To address the problem of double uncertainties of source and load in the process of load restoration,this paper proposes a load restoration adjustment strategy for distribution network based on affine adjustable robust optimization.First,based on the net load forecasting scenario,an optimization model with the maximum weighted load restoration as the objective function is built,and the optimal load restoration base value is determined.Second,the affine strategy is adopted,and the budget uncertainty set is employed to describe the uncertainty of the net load,and a load restoration adjustment scheme considering the net load error is built.In the solution process,a mixed integer linear programming model with quick resolution is obtained by dual transformation of bilinear variables.Finally,the improved 33-node system is employed for simulation.Our results show compared with the traditional robust optimization method,the proposed method reduces the conservatism of the optimization results and is helpful to accelerate the load restoration and reduce the losses caused by power outages.
关键词
源荷不确定性/净负荷/配电网/负荷恢复/预算不确定集/仿射可调鲁棒优化Key words
source load uncertainty/net load/distribution network/load restoration/budget uncertainty set/affine adjustable robust optimization引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据