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Real-Time Data Collection and Processing of Utility Customer's Power Usage for Improved Demand Response Control

机译:实时收集和处理公用事业客户的用电量,以改善需求响应控制

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A large growth in energy demand has increased renewable energy penetration into existing power grid infrastructures, as well as spurring increased research into demand response programs. But before implementing an efficient demand response program, it is first necessary to understand the power usage behaviors of a consumer. This paper presents a real-time data acquisition system for the collection and storage of power data that will allow the study of demand response in an urban area. Demand response programs are an ideal alternative to costly energy storage and spinning reserves. Detailed power consumption data is necessary to study proper demand response programs and implement efficient control decisions. A pilot system has been implemented on the island of Oahu in Hawai'i to prove the feasibility of a data collection system in a dense urban environment. The pilot program has implemented a smart metering device that is collecting power data at a high resolution and transmitting it to a server for load forecasting analysis. The architecture of the system will be discussed as well as preliminary results and scalability of the pilot system as it relates to the implementation of the system into a large urban center.
机译:能源需求的大幅增长,增加了可再生能源对现有电网基础设施的渗透,并推动了对需求响应计划的更多研究。但是在实施有效的需求响应程序之前,首先必须了解消费者的用电行为。本文提出了一个实时数据采集系统,用于电力数据的收集和存储,这将使研究城市的需求响应成为可能。需求响应程序是昂贵的能量存储和旋转存储的理想替代方案。详细的功耗数据对于研究适当的需求响应程序和实施有效的控制决策必不可少。已经在夏威夷瓦胡岛上实施了一个试点系统,以证明在稠密的城市环境中建立数据收集系统的可行性。该试点计划已实现了一种智能计量设备,该设备以高分辨率收集功率数据并将其传输到服务器以进行负载预测分析。将讨论系统的体系结构以及试点系统的初步结果和可扩展性,因为它与将系统实施到大型城市中心有关。

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