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Residential water heaters as a grid-scale energy storage solution using model predictive control

机译:使用模型预测控制作为网格规模储能解决方案的家用热水器

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With the rapid increase of renewable energy on the power system, an increase in reserve capabilities is required. As traditional reserve resources reach their maximum capacity for providing this service, alternative solutions must be found to supplement existing reserves. One such alternative is to utilize grid-scale energy storage to provide reserves. Though many technologies for grid-scale energy storage are cost prohibitive, one cost-effective solution is the use of existing residential water heaters as a distributed energy storage resource. This paper presents one possible control methodology, using Model Predictive Control, to demonstrate the feasibility of controlling such a resource. Simulation results show that Model Predictive Control can be effectively used to control multiple residential water heaters to provide reserve services for renewable energy resources.
机译:随着电力系统中可再生能源的迅速增加,需要增加后备能力。随着传统储备资源达到提供此服务的最大能力,必须找到替代解决方案来补充现有储备。一种这样的替代方案是利用电网规模的能量存储来提供储备。尽管许多用于电网规模的能量存储的技术成本高昂,但一种具有成本效益的解决方案是将现有的家用热水器用作分布式能量存储资源。本文提出了一种使用模型预测控制的可能的控制方法,以证明控制这种资源的可行性。仿真结果表明,模型预测控制可以有效地控制多台民用热水器,为可再生能源提供后备服务。

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