Modeling demand response of consumers to incentives using fuzzy systems
Modeling demand response of consumers to incentives using fuzzy systems
复制标题
使用模糊系统对消费者对激励措施的需求响应进行建模
DOI：
10.1109/pesgm.2012.6345280
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
I. Erlich
中科院分区：
文献类型：
--
作者：
T. Holtschneider;I. Erlich
对配电网的要求越来越高。在智能电网中，临界状态和过应力是可预测的。如果任何类型的甩负荷是可用的，那么可以减轻电网扩展。需求响应可以通过激励来激励消费者转移负荷。家庭负荷转移的潜力是存在的，但由于缺乏对消费者对不同激励措施的响应能力的了解，即使这是需求响应计划的关键问题，到目前为止仍然不确定。本文介绍了一种全新的微观经济模型的方法，它估计的价格反应的消费者的激励措施的理性决策模型的基础上，模糊技术。它允许调查不同类型的激励措施对需求方参与和响应的影响，对住宅消费者的影响以及对低压配电网的后果。
The requirements of distribution grids are increasing. In a smart grid, critical states and overstress are predictable. If any kind of load shedding is available then grid expansions can be alleviated. Demand response could be used to motivate consumers to load shifting via incentives. Potential of load shifting in households exists, but remains uncertain so far due to the lack of knowledge about responsiveness of consumers to different kinds of incentives even if this is the key issue for demand response programs. This paper introduces a completely new approach for a micro-economic model, which estimates the price responsiveness of consumers to incentives in a rational decision making model based on fuzzy technology. It allows investigating the effect of different kinds of incentives on the demand side participation and response, the impact on residential consumers and the consequences for the low voltage distribution grids.