Demand Response Availability Profiles for California in the Year 2020

Demand Response Availability Profiles for California in the Year 2020
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2020 年加利福尼亚州需求响应可用性概况

DOI:
10.2172/1341727
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发表时间:
2014
期刊:
影响因子:
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通讯作者:
S. Kiliccote
S. Kiliccote
中科院分区:
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文献类型:
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作者:
D. Olsen;M. Sohn;M. Piette;S. Kiliccote

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作者:Olsen,丹尼尔; Sohn,Michael; Piette,玛丽安; Kiliccote,Sila|摘要:需求响应(DR)被认为是一种宝贵的资源,用于保持电网稳定和高效,并推迟发电,输电和配电系统的升级。然而,为了进行最佳规划,有必要进行模拟,以确定可以推迟多少基础设施升级。生产成本建模是一种技术,它模拟发电机的调度,以满足需求和储备在一年中的每一个小时,在最小的成本。通过将需求响应资源集成到生产成本模型(PCM)中,可以估计它们对电网的价值,并用于通知运营和基础设施规划。2020年加州13个终端用户的DR可用性配置文件和限制由劳伦斯伯克利国家实验室(LBNL)开发,并集成到劳伦斯利弗莫尔国家实验室(LLNL)的生产成本模型中,用于加州能源委员会的加州研究中可再生能源集成的储能价值和需求响应。此报告总结了为加州开发灾难恢复可用性配置文件的过程及其聚合功能。虽然LBNL为LLNL的研究提供了辅助服务市场中调节产品的潜在DR每小时配置文件和能源市场中五分钟负荷跟踪产品,但还定义了应急储备和假设灵活产品的其他结果。这些额外的产品包括在管理与可再生能源发电和容量产品相关的高坡道的分析中,它们也在本报告中介绍。
Author(s): Olsen, Daniel; Sohn, Michael; Piette, Mary Ann; Kiliccote, Sila | Abstract: Demand response (DR) is being considered as a valuable resource for keeping the electrical grid stable and efficient, and deferring upgrades to generation, transmission, and distribution systems. However, simulations to determine how much infrastructure upgrades can be deferred are necessary in order to plan optimally. Production cost modeling is a technique, which simulates the dispatch of generators to meet demand and reserves in each hour of the year, at minimal cost. By integrating demand response resources into a production cost model (PCM), their value to the grid can be estimated and used to inform operations and infrastructure planning. DR availability profiles and constraints for 13 end-uses in California for the year 2020 were developed by Lawrence Berkeley National Laboratory (LBNL), and integrated into a production cost model by Lawrence Livermore National Laboratory (LLNL), for the California Energy Commission’s Value of Energy Storage and Demand Response for Renewable Integration in California Study. This report summarizes the process for developing the DR availability profiles for California, and their aggregate capabilities. While LBNL provided potential DR hourly profiles for regulation product in the ancillary services market and five-minute load following product in the energy market for LLNL’s study, additional results in contingency reserves and an assumed flexible product are also defined. These additional products are included in the analysis for managing high ramps associated with renewable generation and capacity products and they are also presented in this report.