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Pricing scheme to ease energy poverty of low-income population in smart grid

机译：定价方案为了缓解智能电网低收入人群的能源贫困

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摘要

Demand Response (DR) program is an important component of a cyber-physical energy infrastructure. The DR pilot projects in Europe, North America, and Australia showed that some consumers respond, few consumers marginally respond while some consumers do not respond at all to the DR programs. DR program basically uses pricing schemes, namely, flat price, time-of-use price, inclined block rate price, real-time price, and threshold based real-time price. The problem with these pricing schemes is that consumers (specifically those who have low-income) have to pay electricity bill which is not feasible for them. So, they suffer from energy poverty, that is, they are not able to purchase even the minimum amount of energy which suffices their requirements. The DR program is basically of two types, namely (a) active DR program, and (b) passive DR program. This article is about the pricing scheme which would be used in the passive DR program. This article is proposing a novel pricing scheme to ease the energy poverty issue of low-income group of population. This article proposes an idea of population categorization based on wealth and an idea to find suitable thresholds for proposed pricing scheme.
机译：需求响应（DR）计划是网络物理能源基础设施的重要组成部分。欧洲，北美和澳大利亚的试点项目显示，一些消费者应对，很少有消费者略微回应，而一些消费者根本没有回应DR计划。 DR程序基本上使用定价方案，即平价，使用时间价格，倾斜的块率价格，实时价格和基于门槛的实时价格。这些定价方案的问题是消费者（特别是那些有低收入的人）必须支付对他们不可行的电费。因此，他们遭受了能源贫困，即，即使它们不能购买其要求的最小能量。 DR程序基本上有两种类型，即（a）活动DR程序，和（b）被动DR程序。本文是关于被动DR程序中使用的定价方案。本文提出了一种新颖的定价计划，以简化低收入人口的能源贫困问题。本文提出了基于财富的人口分类和一个想法，以找到适当的拟议定价计划的阈值。

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