Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations
Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations
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DOI：
10.1002/ente.201500318
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发表时间：
2015
影响因子：
3.8
通讯作者：
Simon Waczowicz;M. Reischl;Stefan Klaiber;P. Bretschneider;I. Konotop;D. Westermann;V. Hagenmeyer;R. Mikut
中科院分区：
文献类型：
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作者：
Simon Waczowicz;M. Reischl;Stefan Klaiber;P. Bretschneider;I. Konotop;D. Westermann;V. Hagenmeyer;R. Mikut
通过使用价格信号来改变家庭电力客户的消费行为，可以获得需求方的额外灵活性。目前的贡献提出了一种新的理论动机的需求响应模型类型称为虚拟存储。首先介绍了几种虚拟存储模型的基本模型结构。所有这些模型都是基于一个差分方程系统，描述了响应价格信号的负荷减少/增加。此后，虚拟存储模型在如何考虑过去或基于预测的未来价格信息方面有所不同。在描述了建议的模型验证策略之后，将几种虚拟存储模型的模型行为与一些常见的需求响应模型类型以及真实的客户对价格信号的响应进行比较。因此，基于真实的智能仪表数据集（奥林匹克半岛项目）执行模型比较。
Additional flexibilities on the demand side can be obtained by using price signals to change the consumption behavior of household electricity customers. The present contribution proposes a new theoretically motivated demand response model type called virtual storage. First, the basic model structure of several virtual storage models is introduced. All of these models are based on a system of difference equations that describe load reductions/increases in response to price signals. The virtual storage models differ thereafter in how past or prognosis‐based future price information is considered. After a description of a proposed model validation strategy, the model behavior of several virtual storage models is compared with some of the common demand response model types and with real customer responses to a price signal. Thus, a model comparison is performed on the basis of a real smart meter data set (Olympic Peninsula Project).