Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility
Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility
复制标题
表征商业和工业设施对公用事业动态定价信号的响应
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
S. Kiliccote
中科院分区：
文献类型：
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作者：
J. Mathieu;A. Gadgil;Duncan S. Callaway;P. Price;S. Kiliccote
我们描述了一种生成商业和工业电力需求统计模型的方法（CI，后者量化了由于公用事业公司的动态定价信号而导致的与基线模型的偏差。开发并分析了三种基于回归的基线计算方法。所有方法的执行方式类似。为了了解设施对动态定价信号响应的多样性，我们对参与加利福尼亚州使用动态定价的需求响应（DR）计划（太平洋天然气和电力公司的关键峰值定价计划）的 44 个工商业设施的响应进行了表征。在大多数情况下，设施棚DR 事件期间的负载，但设施对动态价格信号的响应存在显着的异质性，有利于独立系统运营商安排供应以满足需求，有利于公用事业公司改进动态定价计划，也有利于客户最大限度地降低能源成本。© 2010 ASME。
We describe a method to generate statistical models of electricity demand from Commercial and Industrial (CI the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas & Electric’s Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.© 2010 ASME