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 是一个创新项目，汇集了来自电力工程、电力线通信和统计信号处理领域的专家，旨在解决所谓的能源三难困境，即提高能源安全、减少碳排放和降低成本的挑战。SYNAPS 旨在开发一种网络化分布低压网络自动化平台将提供故障检测、故障分类和定位，以及智能保护和重新配置，且成本显着低于以前的水平。实际上，该项目将在整个国家电网中增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，而且随着我们的城市和基础设施变得越来越稳定，也将为稳定、面向未来的增长开辟无数其他机会。更加智能，迈向物联网的未来。由于低压网络最初旨在用于单向能源分配，因此之前很少有人对其进行监控。然而，由于消费者运营的可再生分布式发电设备、电动汽车的不断部署，对网络稳定性的影响带来了新的迫切需要——更不用说“爆炸路面”问题了。目前，分布式发电只占很小的比例的电网总发电量，因此其对低压电网性能的影响可以忽略不计。然而，业界对分布式发电和电动汽车安装数量增加的影响存在重大担忧，特别是当它们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，配电网损失约 9% 的电力，据报道，配电网运营商总网络成本的 45% 和客户分钟数损失的 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会使过渡变得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问题事件。此外，还将改进算法以支持基于软件的网络保护和重新配置。预计此类智能传感器网络将为网络效率和面向未来做出重大贡献，并为消费者以及欧盟/英国的环境和能源带来巨大利益政策目标。