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首页> 外文期刊>Computer science >Understanding price functions to control domestic electric water heaters for demand response: A bilevel approach to adapt power consumption to availabilty
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Understanding price functions to control domestic electric water heaters for demand response: A bilevel approach to adapt power consumption to availabilty

机译：了解价格功能以控制家用电热水器以响应需求：采用双级方法使功耗适应可用性

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摘要

A well-known mechanism for demand response is sending price signals to customers a day ahead. Customers then postpone or advance their usage of electricity to minimize cost. Setting up price functions that adapt the customers' load to availability is a big challenge. This paper investigates the feasibility of finding day-ahead price functions to induce a desired load profile of domestic electric water heaters (DEWHs) minimizing their electricity cost for demand response. Bilevel optimization is applied for a single DEWH using a simplified linear model and full knowledge. This leads to a solvable bilevel problem and allows understanding optimality of price functions and resulting heating profiles. It is shown that with the resulting price functions the DEWH may select many significantly different heating profiles leading to the same cost. Thus the price does not uniquely induce the desired heating profile. The acquired knowledge forms the basis for a procedure to create price functions for controlling the load profile of many DEWHs.
机译：需求响应的一种著名机制是在前一天向客户发送价格信号。然后，客户推迟或提前使用电力以最小化成本。设置价格功能以使客户的负载适应可用性是一个很大的挑战。本文研究了寻找日前价格函数以诱导家用电热水器（DEWH）理想的负载曲线，从而将其电力成本最小化以响应需求的可行性。使用简化的线性模型和完整知识，将双级优化应用于单个DEWH。这导致了可解决的双层问题，并允许了解价格函数和所得加热曲线的最优性。结果表明，利用所得的价格函数，DEWH可以选择许多明显不同的加热曲线，从而导致相同的成本。因此，价格不能唯一地引起所需的加热曲线。获得的知识构成了创建价格函数以控制许多DEWH的负荷曲线的过程的基础。

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