The power load demand of a data centre is in many ways different from that of a residential area. There are differences in the load profiles, the impact of the environmental parameters, the number of peak load demand occurrences in a day as well as peak and off-peak demand. The residential load demand is a complex function of human behaviour which varies based on the geographical, economical, and social characteristics of the consumers. In contrast, estimating the power load of a data centre is rather straightforward. Due to the specific nature of the power load demand of a data centre, finding the optimal configuration of the supplying microgrids can be achieved using off-the-shelf optimisers once an optimisation model has been established. This paper presents a model for finding high-quality microgrid configurations for an enterprise-size green data centres. We present an optimisation model that considers the costs and greenhouse gas emissions associated with all components of the microgrid system, as well as their interactions. The capital, operational, and degradation costs are calculated based on a lifetime of 20 years for the system. Our application of this model to a real scenario of a data centre with a given load demand in a specified environment demonstrates that the model can compose good-quality microgrid configurations for different tradeoffs of cost and sustainability.

数据中心的电力负载需求在许多方面与住宅区不同。负载曲线，环境参数的影响，一天中出现的峰值负载需求数量以及高峰和非高峰需求都有差异。住宅负荷需求是人类行为的复杂功能，其根据消费者的地理，经济和社会特征而变化。相比之下，估计数据中心的功率负载相当简单。由于数据中心电力负载需求的特殊性质，一旦建立了优化模型，就可以使用现成的优化器来找到供电微电网的最佳配置。本文提出了一个模型，用于为企业规模的绿色数据中心找到高质量的微电网配置。我们提出了一个优化模型，该模型考虑了与微电网系统所有组件相关的成本和温室气体排放以及它们之间的相互作用。资本，运营和降级成本是根据系统的20年寿命来计算的。我们将该模型应用于在指定环境中具有给定负载需求的数据中心的真实场景中，表明该模型可以组成高质量的微电网配置，以实现成本和可持续性的不同折衷。系统的使用寿命是根据20年的使用寿命计算的。我们将该模型应用于在指定环境中具有给定负载需求的数据中心的真实场景中，表明该模型可以组成高质量的微电网配置，以实现成本和可持续性的不同折衷。系统的使用寿命是根据20年的使用寿命计算的。我们将该模型应用于在指定环境中具有给定负载需求的数据中心的真实场景中，表明该模型可以组成高质量的微电网配置，以实现成本和可持续性的不同折衷。