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Improvement of customer baselines for the evaluation of demand response through the use of physically-based load models

机译:通过使用基于物理的负载模型来改进客户基准评估需求响应

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摘要

Demand Response (DR) is an opportunity and a concern for markets as well as power system flexibility. The deployment of DR depends on both knowledge on its performance and how to measure it effectively to provide adequate economic feedback. DR verification requires a baseline reference. This paper introduces a new baseline that provides an evaluation of response based on simple adjustment factors through physically-based models, tools which are also used in DR. The approach includes the detection of licit and gaming responses before and after DR. Results show that errors decrease by 10-15% with respect to conventional approaches.
机译:需求响应(DR)是一个机会和对市场的关注,以及电力系统的灵活性。 DR的部署取决于对其性能的知识以及如何有效地衡量其提供足够的经济反馈。 DR验证需要基线参考。 本文介绍了一种新的基线,通过基于物理的型号,博士中使用的工具,提供了基于简单的调整因子的响应的评估。 该方法包括在DR之前和之后检测LICIT和游戏反应。 结果表明,相对于传统方法,误差减少了10-15%。

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