考虑数据中心需求响应的城市电网阻塞管理Congestion Management of Urban Power Grid Considering Demand Response of Data Center
王晴;刘友波;黄杨;刘畅;陈刚;刘俊勇;
摘要(Abstract):
随着"大云物移智"技术的快速推进,大型数据中心迅速发展,地理位置上分散的互联网数据中心(internetdata centers,IDCs)是大数据平台的物理基础。在数据流爆炸的背景下,用电容量巨大的IDCs可作为需求响应的一种,成为智能电网的重要互动资源。利用IDCs网络与城市电网动态关联特性,使数据负荷在IDCs网络中的迁移代替电能在电网中的转移。构建负荷转供方法与IDCs需求响应方法协同管控城市电网的双层优化模型,将城市电网静态容量转变为动态容量,解决城市电网阻塞问题与需求响应中2个独立主体运行效益问题。首先,构建电网公司与IDCs运营商双层协同优化模型,上层模型目标函数为电网公司阻塞管理成本最小、下层模型目标函数为IDCs运营商参与需求响应的收益最大,通过基于优惠券激励的需求响应决策模型,协调二者运行效益。其次,基于Benders分解思想构建算法的整体框架与流程,对模型进行求解。最后,通过算例验证:当IDCs达到一定规模时,协同优化模型阻塞管理效果优于传统负荷转供模型,在解决阻塞问题的同时,既能降低电网公司阻塞管理成本也能保障IDCs运营商参与需求响应收益。
关键词(KeyWords): 互联网数据中心;阻塞管理;需求侧管理;优惠券激励;双层优化模型
基金项目(Foundation): 国家重点研发计划项目(2017YFE0112600);; 国家自然科学基金项目(51377111)~~
作者(Author): 王晴;刘友波;黄杨;刘畅;陈刚;刘俊勇;
Email:
DOI: 10.13335/j.1000-3673.pst.2019.2488
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