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Capacity value estimation of a load-shifting resource using a coupled building and power system model

机译:使用耦合的建筑物和电力系统模型估算负荷转移资源的容量值

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摘要

Understanding the contribution a resource can make to the power system could indicate where its value lies. This paper estimates the capacity value of a load-shifting resource which is capable of providing multiple services. The capacity value represents the contribution of a resource to generation adequacy and an understanding of this contribution is important to compare how different power system resources can assist power system operators and planners. Additionally, policy-makers and market operators need an appreciation of the capacity value of different resources in order to design capacity remuneration mechanisms. A building energy model coupled with a power system model, co-optimizing the supplyside and the demand-side, is employed in this paper to estimate the capacity value of a specific load shifting resource. The resource examined is electric thermal storage heating devices for space and water heating. Ireland is used as a test case. It was found that these load-shifting devices can provide an adequacy contribution to the power system and thus have a capacity value. The capacity value, for the Irish case, can be up to 26% for the DR resource in question for the given year but the values are typically much lower due to operational constraints (reserve provision) and due to occupancy profile impacts. The results highlight the need for holistic modeling of demand response resources, as well as the need for additional work for different load-shifting resources and more data. (C) 2017 Elsevier Ltd. All rights reserved.
机译:了解资源可以对电力系统做出的贡献可以表明其价值所在。本文估计了能够提供多种服务的负载转移资源的容量值。容量值代表资源对发电充足性的贡献,因此了解此贡献对于比较不同的电力系统资源如何可以帮助电力系统运营商和规划者非常重要。此外,决策者和市场运营商需要了解不同资源的能力价值,以便设计能力报酬机制。本文采用建筑能源模型与电力系统模型相结合,共同优化供应侧和需求侧,以估计特定负载转移资源的容量值。检查的资源是用于空间和水加热的蓄热电加热装置。爱尔兰被用作测试用例。已经发现,这些负载转移装置可以对电力系统提供足够的贡献,因此具有容量值。对于爱尔兰来说,给定年份的相关DR资源的容量值可以高达26%,但是由于操作限制(储备金准备)和占用情况的影响,该值通常要低得多。结果表明,需要对需求响应资源进行整体建模,以及针对不同的负载转移资源和更多数据进行额外工作的需求。 (C)2017 Elsevier Ltd.保留所有权利。

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