基于Volterra方程的可再生能源和柴油发电储能系统动态分析
A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations
摘要：
考虑到可变可再生能源的大量渗透，运输电气化的增长和热负荷的分散化，储能系统将在二十一世纪的电力系统中发挥关键作用。因此，可靠的实时方法来优化能量存储，需求响应和发电对于电力系统运行至关重要。本文简要回顾了电池储能和可再生能源应用的电池建模的一个例子，并详细介绍了一种自适应方法来解决这个负载均衡问题与存储。基于第一类Volterra积分方程的动态演化模型用于这两种情况。采用直接正则化数值方法，通过求解积分方程，求出电池的最小费用调度。实际数据的验证表明，所提出的进化Volterra模型有效地推广了传统的离散积分模型，同时考虑到健康状态和发电/存储的可用性。
英文摘要：
Energy storage systems will play a key role in the power system of the twenty first century considering the large penetrations of variable renewable energy, growth in transport electrification and decentralisation of heating loads. Therefore reliable real time methods to optimise energy storage, demand response and generation are vital for power system operations. This paper presents a concise review of battery energy storage and an example of battery modelling for renewable energy applications and second details an adaptive approach to solve this load levelling problem with storage. A dynamic evolutionary model based on the first kind Volterra integral equation is used in both cases. A direct regularised numerical method is employed to find the least-cost dispatch of the battery in terms of integral equation solution. Validation on real data shows that the proposed evolutionary Volterra model effectively generalises conventional discrete integral model taking into account both state of health and the availability of generation/storage.
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