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 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雄激素的成本明显低于以前的可能性。实际上，该项目将增加国家电网的智能智能范围，不仅可以解决长期存在的行业范围内的挑战，而且还将为我们的城市和基础设施变得更加聪明，并且在此范围内越来越多地发展了一个稳定的城市，以至于最初的兴趣范围是一种稳定的，而不是稳定的，那是一个稳定的城市和基础设施，那是一个稳定的，而不是一个兴奋的兴趣。它。然而，由于IMPACT对网络稳定的影响现在有了新的命令，这是因为消费处理可再生的分布式生成设备的部署日益增长，电动汽车 - 更不用说“爆炸的人行道爆炸”问题。目前，分布生成相当于一小部分的总网络生成能力的比例，因此对低速度的影响，因此对低速度的效果均无作用。但是，人们对分布式代理和电动汽车装置数量增加的影响有很大的关注，尤其是当这些群体以共同定位的群集的浓缩时。低压电力网络需要能够支持两种摇摇欲坠的流量和实时通信。每年分销网络中约有9％的电力等级，据报道，分销网络运营商总网络成本的45％和损失的50％的电力损失是由于低压电缆故障所致。管理这些新的低碳技术，但提前准备和引入了智能网格的智能发行和降低整体成本，并降低了整体成本。该项目将借鉴机器学习方法，以自动监视Low-wittage网络，并检测和本地化已知和异常问题事件。此外，基于Tosupport软件的保护和重新配置的算法也将进步。预计这种智能传感器网络将在网络效率和防护效率方面做出不大的贡献，并为消费者和欧盟/英国环境环境和Energy和Energy的政策目标提供了巨大的好处。