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SYNAPS (Synchronous Analysis and Protection System)

SYNAPS（同步分析和保护系统）

基本信息

批准号：
EP/N508470/1
负责人：
Sofia Olhede
金额：
$ 25.39万
依托单位：
University College London
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%2FN508470%2F1
关键词：
SYNAPS Synchronous Analysis Protection System

项目摘要

SYNAPS is an innovative project which brings together experts from thepower engineering, powerline communications, and statistical signalprocessing communities to target the so-termed energy trilemma, namelythe challenge to improve energy security, reduce carbon emissions, andreduce costs.SYNAPS aims to develop a networked distribution automation platform forlow-voltage networks which will provide fault detection, classificationand location of faults, together with smart protection andreconfiguration, at a significantly lower cost than has previously beenpossible. In effect, this project will add a cost-efficient smart layeracross the national power grid which will not only solve long-standing,industry-wide challenges but will also open up countless otheropportunities for stable, future-proofed growth as our cities and infrastructure become smarter and progress to the internet-of-thingsfuture.Since the low-voltage network was originally intended for one-waydistribution of energy, there has been little previous interest inmonitoring it. However, there is now a new imperative created by theimpact on network stability due to the growing deployment of consumeroperated renewable distributed generation equipment, electricvehicles--- not to mention the 'exploding pavements' issue.Currently, distributed generation amounts to only a small proportion ofthe total network generating capacity, hence its impact on low-voltagenetwork performance is negligible. However, there is significantindustry concern about the effects of increased numbers of distributedgeneration and electric vehicle installations, especially when these areconcentrated in co-located clusters.The low-voltage electricity network needs to be able to support two wayelectrical flow and real-time communication. About 9% of electricity islost in the distribution network, annually, and it has been reportedthat 45% of Distribution Network Operator total network costs and 50% ofcustomer minutes lost are due to low-voltage cable faults.Managing these new low carbon technologies present significantchallenges but early preparation and introduction of a Smart Grid shouldmake the transition easier and reduce overall costs. This project willdraw upon machine learning methodology to automatically monitorlow-voltage networks and detect and localise both known, and anomalous,problem events. Furthermore, algorithms will also be progressed tosupport software-based protection and reconfiguration of the network.It is anticipated that such smart sensor networks will make asignificant contribution in network efficiency and future-proofing, andhave immense benefits for both consumers and EU/UK environmental andenergy policy targets.

SYNAPS是一个创新的项目，汇集了来自电力工程，电力线通信和统计信号处理社区的专家，针对所谓的能源三难困境，即提高能源安全，减少碳排放，降低成本的挑战。SYNAPS旨在开发一个网络化的低压配电自动化平台，该平台将提供故障检测，分类和故障定位，与智能保护和重新配置一起，以比以前更低的成本。实际上，该项目将在整个国家电网中添加一个具有成本效益的智能层，这不仅将解决长期存在的全行业挑战，而且还将开辟无数其他机会，以实现稳定、面向未来的增长。随着我们的城市和基础设施变得更加智能，并向物联网的未来发展。由于低压网络最初旨在单向分配能源，以前很少有人对监测它感兴趣。然而，由于消费者操作的可再生分布式发电设备、电动汽车的部署不断增加，对网络稳定性的影响产生了新的必要性--更不用说“爆炸路面”问题了。目前，分布式发电仅占电网总发电容量的一小部分，因此其对低压电网性能的影响可以忽略不计。然而，分布式发电和电动汽车安装数量增加的影响引起了业界的极大关注，特别是当这些集中在同一地点的集群中时。低压电网需要能够支持双向电流和实时通信。每年约有9%的电力损失在配电网中，并且已经证实，配电网运营商总网络成本的45%和客户分钟损失的50%是由于低压电缆故障造成的。管理这些新的低碳技术提出了重大挑战，但早期准备和引入智能电网应该使过渡更容易并降低总体成本。该项目将利用机器学习方法来自动监控低压网络，并检测和定位已知和异常的问题事件。此外，算法也将进步，以支持基于软件的保护和网络的重新配置。预计这种智能传感器网络将在网络效率和未来的检验方面做出重大贡献，并为消费者和欧盟/英国的环境和能源政策目标带来巨大利益。