首页> 外文会议>European Photovoltaic Solar Energy Conference and Exhibition >CALCULATING THE COST OF DISTRIBUTION GRID UPGRADES REQUIRED TO ACCOMMODATE CURRENT AND FUTURE LEVELS OF PV DEPLOYMENT ACROSS RURALITY CONTEXTS IN THE UK
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CALCULATING THE COST OF DISTRIBUTION GRID UPGRADES REQUIRED TO ACCOMMODATE CURRENT AND FUTURE LEVELS OF PV DEPLOYMENT ACROSS RURALITY CONTEXTS IN THE UK

机译:计算适应英国横跨风格背景下的PV部署的当前和未来水平所需的分布网格升级成本

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In this study, we use a geographical information systems (GIS)-framework—the United Kingdom Photovoltaics Database (UKPVD) to analyze spatial PV deployment, domestic and nondomestic electricity demand, rurality (as a proxy of building and population density), at a resolution of around 600 households. We use this framework to identify four representative rurality contexts which account for ~95% of UK households. Using a Statistical Distribution Network Design and Investment model and making use of network asset data for the Southwest of England as a representative case, we calculate additional network upgrade costs due to load growth and increased PV penetration in representative networks in each of these contexts. We calculate additional costs for a range of PV deployment scenarios and sets of flexibility measures, including storage and demand side management. Trends in network upgrade costs and savings associated with storage and demand side management are broadly similar across rurality contexts, although there are quantitative differences. Up to 2030, network upgrade costs are chiefly associated with avoided investment in low voltage network infrastructure to mitigate voltage impacts of PV. Post-2030, as peak demand rises, upgrades to high voltage networks to accommodate higher power flow begin to dominate. The majority of unavoided network upgrade costs after flexibility measures are installed from the period from 2030 are associated with voltage regulation on the low voltage network to accommodate PV deployment, which modelled levels of storage and demand side management are unable to mitigate.
机译:在这项研究中,我们使用地理信息系统(GIS)-Framework-The United Knidgom Photovoltaics数据库(UKPVD)分析空间光伏部署,国内和不良电力需求,风险性(作为建筑物和人口密度的代理),分辨率约为600户。我们使用本框架来确定四个代表性的鲁莽环境,占英国〜95%的家庭。使用统计分发网络设计和投资模型并利用英格兰西南部作为代表性案例的网络资产数据,我们计算由于负载增长和增加了每个背景中的代表网络中的PV渗透率增加了额外的网络升级成本。我们计算了一系列PV部署方案和集合的额外成本,包括存储和需求侧管理。网络升级成本和与存储和需求方面管理相关的节省的趋势在Rurity环境中广泛相似,尽管存在量化差异。高达2030年,网络升级成本主要与避免对低压网络基础设施的投资来减轻光伏的电压影响。后2030年代,随着峰值需求上升,升级到高压网络以适应更高的功率流动开始主导。从2030的时间内安装了灵活性测量后的大多数无vAvoid网络升级成本与低压网络上的电压调节相关联,以适应PV部署,该模型存储和需求侧管理级别无法减轻。

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