Optimising regional clusters of smart local energy systems

优化智慧地方能源系统区域集群

• 批准号: EP/N50855X/1
• 负责人: Dani Strickland
• 金额: $ 3.76万
• 依托单位: Aston University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FN50855X%2F1
• 关键词: Optimising; regional; clusters; smart; local

Transformation of the national electricity network is being explored through a series of projects funded by the Low CarbonNetworks Fund (LCNF). Simultaneously Innovate-UK and others are investing in a variety of projects to develop distributedenergy assets (generation, storage and demand management) at community and individual building level. Development ofa new overall control system architecture is the missing link which will allow the full economic value of both of these sets ofinvestment to be realised.This project will investigate the feasibility of a technology solution designed to optimise a number of smart communityelectricity networks across a locality. The technology is a control solution (supported by storage) designed to fit within anovel distributed control architecture for energy networks. It applies networked ICT solutions at substation level and usesintelligent predictive algorithms adapted from those used in telecommunications network management. The solution builds on existing work to develop community control algorithms for individual 'smart grids' (for example covering individualbusiness parks or housing developments) and aims to provide a robust and secure 'middleware' integration layer betweenthese local 'bottom-up' control systems and the existing distribution network operators and national control system. This isestimated to release benefits to individual households of up to £300 per year.The fundamental proposition of this project is that a technical solution is feasible which will enable the shift to this newoverall architecture. This solution takes the form of an integrated package of control and communications technologiesinstalled on electricity distribution networks (with appropriate management algorithms and almost certainly supported byaccess to local storage)- largely at substation level but working in a co-ordinated way across a locality (sub-region or city)and analogous to the way telecommunications networks are managed. Such a solution will enable more flexible trading andregulatory arrangements between local smart grids and hence support the realisation of the full economic value of demandsideinnovations.The solution will provide a distributed control capability that optimises and manages multiple local smart grids, withoutimposing additional costs on system users that exceed the benefits generated. Analogous to the technical infrastructurethat supports the internet, the solution will provide a resilient control infrastructure able to accommodate many and variedtypes of local smart grid.The key distinction between our proposed solution and centralised control systems is that individual sub-systems (i.e., localsmart grids and substations) will communicate with each other and optimise outcomes locally before having to engageupwards with the national system. Our solution will develop the algorithms and define the supporting package of control,protection and storage technologies to make this possible in a way which satisfies the needs of both the DNOs and nationalsystem operator (and potentially replaces existing SCADA control systems).Similar (but centralised) solutions currently exist for the electricity networks at national level but are prohibitively expensive(an initial estimate is that it would cost £40k per substation simply to mimic national management algorithms locally).This project will explore the technical feasibility of developing a packaged solution at substation level that costs less than£5000 per substation to deliver at least the same functionality, but with considerably increased flexibility and resilience. Theprimary advantage of effective distributed control and management in this context is that it will make it significantly easier toinnovate on the demand side, enabling local optimisation and more varied smart grid approaches to develop locally.

目前正在通过低碳网络基金资助的一系列项目探索国家电网的改造。与此同时，Innovate-UK和其他公司正在投资各种项目，以开发社区和个人建筑层面的分布式能源资产(发电、储存和需求管理)。开发新的整体控制系统架构是一个缺失的环节，它将使这两组投资的全部经济价值得以实现。该项目将调查旨在优化整个地区的多个智能社区电力网络的技术解决方案的可行性。该技术是一种控制解决方案(由存储支持)，旨在适应能源网络的一种新型分布式控制体系结构。它在变电站一级应用联网的ICT解决方案，并使用与电信网络管理中使用的算法相适应的智能预测算法。该解决方案建立在为个人“智能电网”(例如覆盖个人商业园区或住宅开发)开发社区控制算法的现有工作的基础上，旨在为这些本地“自下而上”的控制系统与现有的配电网运营商和国家控制系统之间提供一个健壮且安全的“中间件”集成层。据估计，这将为每个家庭带来每年高达300 GB的收益。该项目的基本主张是，一种技术解决方案是可行的，它将使向这一新的整体架构的转变成为可能。该解决方案采用控制和通信技术集成包的形式，安装在配电网络上(使用适当的管理算法，几乎可以肯定得到本地存储访问的支持)-主要在变电站级别，但跨地区(子区域或城市)协调工作，类似于电信网络的管理方式。这样的解决方案将使本地智能电网之间的交易和监管安排更加灵活，从而支持需求侧创新的全部经济价值的实现。该解决方案将提供分布式控制能力，优化和管理多个本地智能电网，而不会给系统用户带来超过产生的收益的额外成本。与支持互联网的技术基础设施类似，该解决方案将提供具有弹性的控制基础设施，能够容纳多种类型的本地智能电网。我们建议的解决方案与中央控制系统的主要区别在于，各个子系统(即本地智能电网和变电站)将相互通信，并在必须与国家系统向上接触之前在本地优化结果。我们的解决方案将开发算法并定义控制、保护和存储技术的支持包，以满足DNO和国家系统运营商的需求(并有可能取代现有的SCADA控制系统)。目前国家级电网存在类似(但集中化的)解决方案，但昂贵得令人望而却步(初步估计，仅在当地模仿国家管理算法，每个变电站的成本就会达到40K GB)。该项目将探索开发变电站级成套解决方案的技术可行性，每个变电站的成本低于5000 GB，以提供至少相同的功能，但灵活性和弹性大大增强。在这种情况下，有效的分布式控制和管理的主要优势是，它将使需求侧的创新变得更加容易，使本地优化和更多样化的智能电网方法能够在本地开发。

项目成果

A review of community electrical energy systems

社区电能系统综述

• DOI: 10.1109/icrera.2016.7884528
• 发表时间: 2016
• 作者: Strickland D