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A Dynamic Analysis of Energy Storage With Renewable and Diesel Generation Using Volterra Equations

机译:volterra方程的可再生和柴油生成动态分析

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摘要

Energy storage systems will play a key role in the power system of the 21st century considering the large penetrations of variable renewable energy, growth in transport electrification, and decentralization of heating loads. Therefore, reliable real-time methods to optimize energy storage, demand response, and generation are vital for power system operations. This article presents a concise review of battery energy storage and an example of battery modeling for renewable energy applications and details an adaptive approach to solve this load leveling problem with storage. A dynamic evolutionary model based on the first-kind Volterra integral equation is used in both cases. A direct regularized numerical method is employed to find the least-cost dispatch of the battery in terms of the integral equation solution. Validation on real data shows that the proposed evolutionary Volterra model effectively generalizes a conventional discrete integral model taking into account both the state of health and the availability of generation/storage.
机译:能量存储系统将在21世纪的电力系统中发挥关键作用,考虑到可变可再生能源的大渗透,运输电气化的增长和加热载荷的分散性。因此,可靠的实时方法来优化能量存储,需求响应和生成对电力系统操作至关重要。本文介绍了对可再生能源应用的电池储能和电池建模的一个示例,并详细说明了一种解决该负载调平问题的自适应方法。两种情况下使用了一种基于第一种Volterra积分方程的动态进化模型。在整体方程解决方案方面,采用直接正规的数值方法来找到电池的最低成本调度。实际数据的验证表明,所提出的进化Volterra模型有效地推广了一种传统的离散积分模型,考虑到健康状况和生成/存储的可用性。

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