A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power
A probabilistic method for calculating the usefulness of a store with finite energy capacity for smoothing electricity generation from wind and solar power
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DOI：
10.1016/j.jpowsour.2005.07.006
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发表时间：
2006-11
影响因子：
9.2
通讯作者：
J.P. Barton;D. Infield
中科院分区：
文献类型：
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作者：
J.P. Barton;D. Infield
本文描述了一种对能量存储进行建模的新颖方法，用于将风力涡轮机和太阳能光伏阵列的功率输出与变化的电力负载相匹配。该模型估计储能器满载或空载的时间比例。它还可以估计商店满时的限电量和商店空时的未满足需求。新的建模方法已经过时间步进方法的验证，并且在各种存储额定功率、存储效率、风力涡轮机容量和太阳能光伏发电容量上表现出普遍良好的一致性。示例结果针对具有 1MW 风电容量、2MW 光伏容量、75% 效率的能量存储以及平均 0 至 3MW 负载范围的系统。
This paper describes a novel method of modelling an energy store used to match the power output from a wind turbine and a solar PV array to a varying electrical load. The model estimates the fraction of time that an energy store spends full or empty. It can also estimate the power curtailed when the store is full and the unsatisfied demand when the store is empty. The new modelling method has been validated against time–stepping methods and shows generally good agreement over a wide range of store power ratings, store efficiencies, wind turbine capacities and solar PV capacities. Example results are presented for a system with 1MW of wind power capacity, 2MW of photovoltaic capacity, an energy store of 75% efficiency and a range of loads from 0 to 3MW average.