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考虑集成数据中心需求响应的主动配电网优化控制策略研究

Research on Optimization Control Strategies for Active Distribution Networks Considering Demand Response of Integrated Data Centers

  • 摘要:
    目的 随着集成数据中心(Integrated Data Center, IDC)逐步成为一种体量庞大的新兴负荷,充分挖掘IDC需求侧响应有利于实现主动配电网(Active Distribution Network, ADN)的优化控制,提高配电网新能源利用率。
    方法 为解决以上问题,文章提出了一种基于IDC需求侧响应特性与分数阶比例积分(Fractional Order Proportional Integral, FOPI)和分数阶比例微分(Fractional Order Proportional Differential, FOPD)级联的FOPI-FOPD参与的ADN优化控制策略。首先,文章构建了一种考虑响应负载时间转移特性、空间转移特性和新能源消纳特性的功耗模型,并考虑了其需求侧响应参与ADN优化控制的建模研究;其次,结合几种控制原理设计不同优化控制策略,优化配电网能耗结构,提升新能源利用率,实现配电网的优化控制。
    结果 最后,结合具有1000台服务器的贵州省某大型数据中心进行仿真分析,其结果表明:相比于其他控制策略,采用FOPI-FOPD的控制策略具有更好的优化控制效果,使其运行成本降低了1.71%,峰谷差减少了21.92%,新能源利用率提升了15.78%~17.02%。
    结论 仿真实验结果验证了所提优化控制策略的有效性与合理性。

     

    Abstract:
    Objective As integrated data centers (IDC) gradually become an emerging large-scale load, fully leveraging IDC demand-side response is beneficial for achieving the optimal control of active distribution networks (ADN) and improving the new energy utilization rate of distribution networks.
    Method To address the above issues, this paper proposed an ADN optimization control strategy involving FOPI-FOPD, which was based on the demand-side response characteristics of IDC and the cascading of Fractional Order Proportional Integral (FOPI) and Fractional Order Proportional Differential (FOPD) control. Firstly, this paper constructed a power consumption model that considered the time transfer characteristics, space transfer characteristics of response loads and new energy consumption characteristics, and conducted modeling research on its demand-side response participation in ADN optimization control. Secondly, different optimization control strategies were designed by combining several control principles to optimize the energy consumption structure of the distribution network, improve the new energy utilization rate, and achieve optimal control of the distribution network. Finally, simulation analysis was conducted on a large data center in Guizhou Province with 1000 servers.
    Result The results show that compared with other control strategies, the FOPI-FOPD control strategy achieves better optimization control effects: the operational cost is reduced by 1.71%, the peak-valley difference is reduced by 21.92%, and the new energy utilization rate is increased by 15.78% to 17.02%.
    Conclusion The simulation results verify the effectiveness and rationality of the proposed optimization control strategy.

     

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