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Distributional Effects of Dynamic Pricing for Responsive Electricity Demand (DEePRED)

响应电力需求的动态定价的分配效应 (DEePRED)

基本信息

批准号：
EP/R000735/1
负责人：
Jacopo Torriti
金额：
$ 23.4万
依托单位：
University of Reading
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FR000735%2F1
关键词：
Distributional Effects Dynamic Pricing Responsive

项目摘要

Peak electricity demand is becoming an increasingly significant problem for UK electricity networks as it causes imbalances between demand and supply with negative impacts on system costs and the environment. The residential sector is responsible for about one third of overall electricity demand and up to 40% of peak demand. During peak demand, electricity prices in wholesale markets could fluctuate from less than £0.03/kWh to as much as £0.29/kWh. Time of Use tariffs offer significant potential benefits to the system by enabling responsive electricity demand and reducing peaks. For example, this could reduce the need for new generation and network capacity. However, the impact of more cost-reflective pricing will vary between consumers. In particular, those who consume electricity at more expensive peak periods, and who are unable to change their consumption patterns, could end up paying significantly more. Understanding the distributional effects of Time of Use tariffs becomes vital to ensuring affordability of energy bills, whilst making demand more flexible. Whilst there is research on fuel poverty in relation to aggregate level of consumption of electricity, little is known about the effects of dynamic tariffs on different socio-demographic groups. DEePRED will fill this gap.The overall aim of DEePRED is to analyse the distributional effects of Time of Use tariffs with a view to identify clusters of users which might significantly benefit or be disadvantaged through the provision of demand flexibility. The project will analyse 10-minute resolution time use activity data from the UK Office for National Statistics Time Use Survey with a view to derive information about times of the day in which different groups of people occupy households and carry out energy-related activities. The time use data will be combined with parameter data on temperatures, sunlight, number and typical consumption of household appliances and dwelling types to derive load profiles. This will take place thanks to the implementation of activity schemes. Load profiles data will then be used to calculate how consumer bills may change for different groups of consumers on stylised Time of Use tariffs.

高峰电力需求正成为英国电力网络日益严重的问题，因为它导致需求和供应之间的失衡，对系统成本和环境产生负面影响。住宅部门约占总电力需求的三分之一，占高峰需求的40%。在需求高峰期，批发市场的电价可能从低于0.03 GB/千瓦时到高达0.29 GB/千瓦时不等。分时电价通过实现响应电力需求和减少峰值，为系统提供了巨大的潜在好处。例如，这可以减少对新一代和网络容量的需求。然而，更能反映成本的定价的影响将因消费者而异。特别是，那些在更昂贵的高峰时段消费电力的人，以及那些无法改变消费模式的人，最终可能会支付更高的费用。了解使用时电价的分配效应，对于确保能源账单的可负担性，同时使需求更具灵活性至关重要。虽然有关于燃料贫困与总用电量水平的研究，但对动态电价对不同社会人口群体的影响知之甚少。DeePRED将填补这一空白。DeePRED的总体目标是分析使用时间费率的分布影响，以期通过提供需求灵活性来确定可能显著受益或处于不利地位的用户群。该项目将分析来自英国国家统计局时间使用调查的10分钟解决时间使用活动数据，以期获得关于不同群体占用家庭并开展与能源有关的活动的一天中的时间信息。时间使用数据将与温度、日照、家用电器和住宅类型的数量和典型消耗量的参数数据相结合，以得出负荷分布。这要归功于活动计划的实施。然后，将使用负载配置文件数据来计算不同消费者群体在格式化使用时间费率上的消费者账单可能会如何变化。