光伏能源和分时电价的需求响应

A. S. Leger, E. Sobiesk, Alexander Farmer, Blake Rulison
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引用次数: 5

摘要

一些公用事业公司正在或计划向客户提供标准电价和“分时电价”(ToU)之间的选择。能源分时电价是基于分层定价结构,而不是标准的统一费率。在非高峰时段,分时电价通常低于标准电价,而在高峰时段则高于标准电价。这种定价结构可以激励需求响应(DR)与光伏发电(PV)相结合,从而将客户的净需求从高峰时间转移到非高峰时间。本文提出了一个需求响应方案,设计用于光伏发电在分时电价环境下的实施。DR算法需要最少的传感器,不需要预测,适合于自动化。基于纽约的光伏发电数据和居民用电负荷数据,给出了验证DR算法的仿真结果,并量化了基于DR水平的潜在节能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demand response with photovoltaic energy source and Time-of-Use pricing
Several utilities are offering, or plan to offer, customers the choice between standard and “Time-of-Use” (ToU) rates for electricity. ToU rates for energy are based on a tiered pricing structure as opposed to standard flat rates. ToU rates are typically less than the standard rate during off-peak times and higher than the standard rate at peak times. This pricing structure can incentivize combining demand response (DR) with photovoltaic (PV) generation which can shift a customer's net demand from peak to off-peak times. This paper presents a demand response scheme designed for implementation with photovoltaic generation within a ToU pricing environment. The DR algorithm is designed to require minimal sensors, does not require forecasting, and is suitable for automation. Simulation results validating the DR algorithm and quantifying potential savings based on the level of DR are presented based on PV generation data and residential load consumption data in New York.
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