文章摘要
张凯恒,徐青山,杨斌,栾开宁.基于多面体不确定集的需求响应不确定性研究[J].电力需求侧管理,2019,21(5):52-56
基于多面体不确定集的需求响应不确定性研究
Research on the uncertainty of demand response with polyhedron set
投稿时间:2019-04-13  修订日期:2019-07-05
DOI:DOI:10.3969/j.issn.1009-1831.2019.05.011
中文关键词: 需求响应  拉丁超立方抽样  不确定性  多面体不确定集  相关性
英文关键词: demand response  Latin hypercube sampling  uncertainty  polyhedron uncertainty set  correlation
基金项目:国家重点研发计划资助项目(2016YFB0301100)
作者单位
张凯恒 东南大学电气工程学院南京211189 
徐青山 东南大学电气工程学院南京211189 
杨斌 国网江苏省电力有限公司南京210029 
栾开宁 国网江苏省电力有限公司南京210029 
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中文摘要:
      随着需求响应技术的不断发展,用户侧柔性资源体现出越来越强的可调度潜力。然而由于用户习惯、模型精度、使用环境,大部分分散式可调度负荷呈现一定的不确定性,给负荷精准调度带来一定困难。多面体不确定集相比于传统盒式不确定集,在描述样本不确定性空间时引入负荷相关系数,能够压缩样本空间不确定测度,提高优化策略的精准性和经济性。通过拉丁超立方抽样模拟分析不同相关性条件下盒式不确定集与多面体不确定集的策略表现,可知基于多面体不确定集建立的负荷群调度优化策略模型能够降低调度成本,甄别优质响应资源,体现负相关负荷的互补性。
英文摘要:
      With the continuous development of demand response technology, the flexible loads of user side have shown more schedulable potential. Nevertheless, due to external factors such as user habits, model accuracy, and usage environment, most distributed loads reflect uncertainty, which generates difficulties to accurate load scheduling. Compared with the traditional box type uncertain set, the polyhedral uncertainty set introduces the load correlation coefficient when describing the sample uncertainty space, compressing the sample space uncertainty measure and improve the accuracy and economy of the optimization strategy. By analyzing the performance of the box type uncertainty set and the polyhedral uncertainty set under different correlation conditions, it is known that the load group scheduling optimization strategy model based on the polyhedral uncertainty set can reduce the scheduling cost, identify the high?quality response resources, and reflect the complementarity of negative correlation load.
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