摘要
讨论了模糊负荷预测值确定时的优化中断负荷阈值,获得了社会效益最大化的中断决策,提出了建立在模糊数学基础上的最优中断阈值模型.该模型应用最优化模糊概率的方法,在原始负荷预测数据和影响因素不确定的情况下,得到更符合电网实际情况的中断负荷阈值.最后,通过多组算例说明了本模型的有效性和实用性.
This article focused on how to solve the optimal interruptible threshold based on the fuzzy load forecast and how to maximize the social benefit after making the interrupting decision. An interruptible load management scheme was proposed here that enables the selection of optimal interruptible loads incorporating network constraints. And this model provides an analytical framework for solving several important issues associated with optimal selection of load curtailment. By applying the most optimal measures of fuzzy probability it can obtain the best interruptible threshold that is more accordant with the actual condition of the power system in the case that the original load forecast and affecting elements are unstable. And at last, the effectiveness and practicalities of this model were illustrated by using groups of connected examples.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2007年第11期1901-1904,共4页
Journal of Shanghai Jiaotong University
关键词
可中断负荷
模糊数学
最优中断阈值
需求侧管理
interruptible load
fuzzy mathematics
optimal interruptible threshold
demand side management