Data for: Distribution network prices and solar PV: Resolving rate instability and wealth transfers through demand tariffs
收藏doi.org2025-01-15 收录
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http://doi.org/10.17632/bwwyv6zy5m.1
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Abstract of associated article: 1-in-4 detached households in Southeast Queensland have installed rooftop solar PV—amongst the highest take-up rates in the world. Electricity distribution network capacity is primarily driven by periodic demand, and household load generally peaks in the early evening, whereas solar PV production peaks during the middle of the day and thus a mismatch exists. Compounding matters is the fact that the structure of the regulated two-part network tariff is dominated by a flat-rate variable charge. In this article, interval meter data at the customer switchboard circuit level confirms that solar households use only slightly less peak capacity than non-solar households and, that non-trivial cross-subsidies are rapidly emerging. A tariff model demonstrates that a peak capacity-based ‘demand tariff’ is a more efficient, cost-reflective and equitable pricing structure that improves the stability of tariffs given a rate-of-return regulatory constraint.
相关文章摘要:在东南昆士兰州,四分之一分离家庭安装了屋顶太阳能光伏板——其普及率位居世界前列。电力配送网络容量主要由周期性需求驱动,家庭负载通常在傍晚时分达到峰值,而太阳能光伏板的生产则在正午时分达到峰值,因此存在供需不匹配的问题。进一步加剧问题的是,受监管的双部分网络电价结构以固定费率的变动收费为主。本文中,客户配电盘电路级别的间歇性电表数据证实,安装太阳能的家庭使用的峰值容量仅略低于非太阳能家庭,并且非同小可的交叉补贴正在迅速出现。一项电价模型研究表明,基于峰值容量的‘需求电价’是一种更为高效、成本反映更真实且公平合理的定价结构,在回报率监管约束下,它能提高电价稳定性。
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Mendeley Data



