管理连接队列的新方法

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2024-12-12 DOI:10.1049/stg2.12200
Nicolas Ostler, Furong Li, Lewis Dale
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引用次数: 0

摘要

在过去的24个月里,连接队列出现了前所未有的增长。随着连接协议申请数量的创纪录,我们将推动投资,使我们能够过渡到电气化的未来,这代表着系统开发的关键时刻。作者希望通过基于拥塞管理的技术解决连接队列面临的挑战。采用自顶向下的方法,作者首先可视化队列的状态。分布在传统负荷中心附近的纯储能应用增长最快,其次是东海岸和苏格兰北部的风电项目。在具有代表性的B6边界上进行了支持密切分析。作者比较了方法,验证了拥堵成本归属的过程,并量化了单位功率变化所带来的投资价值。研究发现,储能投资价值最大的地区位于英格兰东南部和苏格兰北部。这反映了已确定的当前约束状态和当前可用产能的最有效利用。这些方法与当前的系统思维和朝着新的行业数据共享标准的进展保持一致,形成了我们希望将能源系统和国家过渡到脱碳未来的战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A new approach to manage the connection queue

A new approach to manage the connection queue

The connection queue has seen unparalleled growth over the last 24 months. With the record number of connection agreement applications representing a pivotal time for system development as we drive investment that will enable us to transition into an electrified future. The authors look to address challenges posed to the connection queue through congestion management-based techniques. Conducting a top down approach, the authors first visualise the state of the queue. Observing highest growth in pure storage based applications distributed close to traditional load centres, followed by wind projects along the East Coast and Northern Scotland. Supporting close analysis is performed on the representative B6 boundary. The authors compare methodologies, validate a process for the attribution of congestion cost and quantify the value of investment given by unit power changes. Finding that most significant value of investment in storage lies in the Southeast of England and the North of Scotland. This reflects the identified current state of constraint and most efficient current utilisation of available capacity. These approaches have been aligned with current system thinking and progress towards a new industry data sharing standard, forming strategy by which we look to transition the energy system and country into a decarbonised future.

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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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