Advanced Dynamic Energy Pricing and Tariffs (ADEPT)

先进的动态能源定价和关税 (ADEPT)

• 批准号: EP/I000194/1
• 负责人: David Wallom
• 金额: $ 88.62万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FI000194%2F1
• 关键词: Advanced; Dynamic; Energy; Pricing; Tariffs

This project addresses a crucial research question that must be answered in the near term is How complicated can, or should, a dynamic electricity tariff be? , such that it is accepted by the public and offers clear enhancements and incentives for reduction in energy demand? The 'can' and 'should' reflect the fact that any ubiquitous technical system is (primarily) designed and implemented by experts, but has to be accepted and operated by non-experts. This project looks at how the information potentially available from smart meters may be exploited to the advantage of both the distribution network operator and the customer. We are looking for the best overall outcome in terms of energy demand reduction, not the best 'engineering solution'. The driving forces towards the need for dynamic tariffs are strong: increased embedded generation, the introduction of plug-in electric vehicles, decreasing national generating capacity, further additions of medium and large scale variable generators, and the prospect of short-term load-shedding by suspending low priority consumption within commercial and domestic. This project aims to discover understanding of the whole interacting system. This project will take account of the smart metering and infrastructure options outlined in the recent Government consulation and response. Using High-Performance Computing to provide a scalable solution to large-scale data management for smart metering is especially timely as it addresses one of the main issues that was raised in the consultation. If, as a nation, we are to lower our overall energy demand, we will have to shift from fossil fuels to less carbon intensive supplies and optimise our energy consumption across all possible sources. This may mean that electricity demand may increase. At the same time, there is an imminent crisis in generating capacity (by whatever means), so we have to make significantly better use of the energy and the assets which make up the infrastructure. The meter is the interface between the consumer and the network operator, so in principle, a smart meter could manage and provide all of the information which describes the state of the network at that point at that time. Increasing data availability will bring benefits to both users and controllers - with detailed knowledge system behaviour in near-to-real-time at the lowest operational level, network operators have a better opportunity to balance the system load, and concurrently offer consumers much enhanced mechanisms for reducing their own power demand.

该项目解决了一个至关重要的研究问题，必须在短期内回答，这是一个动态的电价，或者应该多么复杂？ ，以至于它被公众所接受，并为减少能源需求的明显增强和激励措施吗？ “罐头”和“应该”反映了这样一个事实，即任何无处不在的技术系统（主要）是由专家设计和实施的，但必须被非专家接受和操作。该项目探讨了如何利用从智能电表中获得的信息，从而利用分销网络运营商和客户的优势。我们正在寻找减少能源需求的最佳总体结果，而不是最佳的“工程解决方案”。朝着动态关税需求的驱动力很大：嵌入式一代增加，插电式电动汽车的引入，降低了国家发电能力，进一步的中等大规模和大型变量发电机的进一步增加，以及通过暂停商业和国内和国内外和国内外优先消费而导致短期负荷造成的前景。该项目旨在发现对整个交互系统的理解。该项目将考虑到最近的政府领事和响应中概述的智能计量和基础设施选项。使用高性能计算为智能计量的大规模数据管理提供可扩展的解决方案，因为它解决了咨询中提出的主要问题之一。如果作为一个国家，我们要降低总体能源需求，我们将不得不从化石燃料转移到碳密集型供应量减少，并优化所有可能来源的能源消耗。这可能意味着电力需求可能会增加。同时，产生能力（无论如何）即将出现危机，因此我们必须更好地利用构成基础设施的能源和资产。仪表是消费者和网络运营商之间的接口，因此，原则上，智能电表可以管理并提供当时描述网络状态的所有信息。增加的数据可用性将为用户和控制器带来好处 - 在最低运营级别的几乎持续时间内，网络运营商有更好的机会来平衡系统负载，并同时为消费者提供了大量增强的机制来减少自己的电力需求。

项目成果

An Overlapping Zone-Based State Estimation Method for Distribution Systems

• DOI: 10.1109/tsg.2015.2393361
• 发表时间: 2015-01
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: N. Nusrat;P. Lopatka;M. Irving;G. Taylor;S. Salvini;D. Wallom

Clustering disaggregated load profiles using a Dirichlet process mixture model

• DOI: 10.1016/j.enconman.2014.12.080
• 发表时间: 2015-03
• 期刊: Energy Conversion and Management
• 影响因子: 10.4
• 作者: R. Granell;C. Axon;D. Wallom

Towards an understanding of dynamic energy pricing and tariffs

了解动态能源定价和关税

• DOI: 10.1109/upec.2012.6398452
• 发表时间: 2012
• 作者: Axon C

Generating Insight from Big Data in retail

从零售业大数据中获取洞察

• DOI: 10.6084/m9.figshare.2064852.v1
• 发表时间: 2016
• 期刊: Figshare
• 作者: David Wallom

High performance computing and communications technology solutions for future smart distribution network operation

面向未来智能配电网运营的高性能计算和通信技术解决方案

• DOI: 10.1049/cp.2013.0898
• 发表时间: 2013
• 作者: De Alvaro Garcia L