迈向合作电网:可再生能源集成的传感器/执行器网络

Jay Taneja, D. Culler, P. Dutta
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引用次数: 67

摘要

面对通往可再生能源投资组合标准(RPS)目标的不确定道路和能源存储的高成本,我们认为深度需求侧管理必须成为实现可再生能源广泛渗透的核心战略。我们研究了风能作为一种可再生的、不可分配的能源的可变性,以及可以分配到匹配这种类型的能源的负荷。我们确定了两类可调度的能源负荷,并为这些负荷创建了模型,以匹配它们的消耗与能源的产生,同时引入了{\em slack},一种广义的能源可调度度量。从这些负载模型中,我们研究了许多技术和源跟踪负载的注意事项,包括恒温器约束的敏感性和聚合设备数量的影响。我们的研究结果表明,一种家用加热器能够减少50%以上的能源消耗,同时增加可再生能源消耗的比例,而不是电网能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Cooperative Grids: Sensor/Actuator Networks for Renewables Integration
Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this type. We identify two classes of dispatchable energy loads, and create models for these loads to match their consumption to the generation of energy sources, while introducing {\em slack}, a generalized measure of dispatchability of energy. From these load models, we examine a number of techniques and considerations for source-following loads, including the sensitivity of thermostat constraints and the effects of aggregating appliance populations. Our results show a home heater that is able to reduce energy consumption by over 50% while increasing the proportion of renewable energy consumed versus grid energy.
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