Numerical Analysis of Renewable Generation Variability for Energy Storage Smoothing Applications

A. P. Asensio, M. García-Plaza, Jesús López Merino, F. Mendoza, Maciej Marek Niegowski, P. L. García
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Abstract

With the increasing penetration of Wind Turbine (WT) and Photovoltaic (PV) generation, there is a rising concern about the problems associated to power variability and how the system can be operated to mitigate its effects. Energy Storage Systems (ESSs) can be used to limit or smooth variability while maximizing the generation of renewable energy. However, existing references to the problems caused by power variability are not clear on the technical requirements of smoothing algorithms. This paper reviews existing information, including academic research, technical reports and international grid codes, on the problems caused by power variability and how they can be numerically evaluated in terms of severity, probability and time range of variations. The effects in power variability of smoothing algorithms according to existing evaluation methods is analyzed in a hybrid plant case study. Keywords— Energy Storage Systems (ESSs), Wind Energy, Smoothing control, Ramp-rate, Power Quality, Energy Management System, Frequency fluctuations.
储能平滑应用中可再生能源发电变异性的数值分析
随着风力发电机(WT)和光伏发电(PV)的日益普及,人们越来越关注与功率变异性相关的问题以及如何运行系统以减轻其影响。储能系统(ess)可用于限制或平滑可变性,同时最大化可再生能源的产生。然而,现有文献对功率变异性引起的问题,对平滑算法的技术要求并不明确。本文回顾了现有的信息,包括学术研究、技术报告和国际电网规范,关于电力变异性引起的问题,以及如何在变化的严重性、概率和时间范围方面对其进行数值评估。以混合电厂为例,分析了现有的平滑算法对功率变异性的影响。关键词:储能系统,风能,平滑控制,斜坡率,电能质量,能源管理系统,频率波动
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