摘要
高能耗是数据中心产业向大型化、高密化、绿色化和自动化演进的一大障碍。为了解决这一问题,提出了一种基于经济调度的数据中心UPS控制策略。该策略在制定合理UPS充放电计划、降低数据中心对本地电网的依赖程度的基础上,可提高可再生能源消纳水平,降低能耗和数据中心运行成本。在建立含有可再生能源和考虑数据中心内UPS储能特性的系统模型后,利用基于模糊聚类的改进小生境遗传算法对该运行优化策略进行求解,给出了UPS小时级的计划出力曲线。仿真算例表明,所提出的控制策略在数据中心系统架构、负载、运行环境相同的环境中,通过合理和有效的UPS运行控制策略,可以有效降低运行成本,有较高的实用价值。
High energy consumption is a major obstacle to the large-scale, high-densification, greening and automation of data center industry. In order to solve this problem, a data center UPS control strategy based on economic dispatching is proposed. The discharge plan reduces the dependence of the data center on the local grid, improves the level of renewable energy consumption, and reduces energy consumption and data center operating costs. After establishing a system model containing renewable energy and considering the UPS energy storage characteristics in the data center, the improved niche genetic algorithm based on fuzzy clustering is used to solve the operation optimization strategy, and the planned output curve of UPS hour is given. The simulation example shows that the proposed control strategy can effectively reduce the running cost through reasonable and effective UPS operation control strategy in the same environment of data center system architecture, load and operating environment. It has high practical value.
引文
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