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Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption

机译:通过使用存储系统来增加自耗,分析最大的电网缓解光伏峰值功率影响

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摘要

For future energy supply systems the effects and benefits of battery storage systems in households with photovoltaic (PV) generators and the effects on distribution and transmission grids need to be identified and analyzed. The development of grid relieving management strategies for the storage system in due consideration of self-consumption is a necessary step forward in order to analyze the potential of private home battery storage systems to reduce stress on the power supply system. A MATLAB-based model of a lithium-ion storage system has been developed. The model is applicable for a wide range of PV generator sizes, different battery storage systems and diverse management strategies. In order to identify the potential of grid relieving forecast strategies, without discharging the storage into the grid, a management strategy based on persistence forecasts of solar radiation and household load demand has been implemented and analyzed. To minimize forecast uncertainties a proportional plus integral controller has been developed. The persistence forecast management strategy is applicable in real-life PV-battery-systems and due to the simple forecast it is easy to equip existing systems with such a management system with only low effort. As a result it will be shown that a storage system management based on forecasts has a significantly higher potential to relieve the grid than a system that only maximizes self-consumption as it is usually used nowadays. Besides, such a management strategy is able to unload the grid more than a static power reduction to 70% of the nominal power rating according to the current German Renewable Energy Sources Act (EEG). At the same time, the self-consumption can be retained at nearly the same level as by using a management strategy to purely maximize the self-consumption. Even less energy is wasted then with the feed-in limitation. (C) 2014 Elsevier Ltd. All rights reserved.
机译:对于未来的能源供应系统,需要确定和分析电池存储系统在具有光伏(PV)发电机的家庭中的作用和好处,以及对配电网和输电网的影响。为了分析私人家用电池存储系统的潜力,以减轻对电源系统的压力,在考虑到自耗的情况下为存储系统开发网格缓解管理策略是必要的一步。已经开发了基于MATLAB的锂离子存储系统模型。该模型适用于各种PV发电机尺寸,不同的电池存储系统和多种管理策略。为了确定电网缓解预测策略的潜力,而又不将存储放电到电网中,已实施并分析了基于太阳辐射持续性预测和家庭负荷需求的管理策略。为了使预测不确定性最小化,已经开发了比例加积分控制器。持久性预测管理策略适用于实际的光伏电池系统,并且由于预测简单,因此很容易为现有系统配备这种管理系统,而工作量很小。结果表明,与当前通常使用的仅使自耗最大化的系统相比,基于预测的存储系统管理在缓解网格方面具有显着更高的潜力。此外,根据当前的《德国可再生能源法》(EEG),这种管理策略不仅可以将电网的静态功率降低至额定功率的70%,还可以减轻电网负荷。同时,可以将自我消费保持在几乎与使用管理策略完全使自我消费最大化的水平相同的水平上。与进给限制相比,浪费的能量更少。 (C)2014 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Energy》 |2015年第1期|567-575|共9页
  • 作者单位

    Rhein Westfal TH Aachen, Inst Power Elect & Elect Drives ISEA, Grid Integrat & Storage Syst Anal Dept, Aachen, Germany|Rhein Westfal TH Aachen, E ON ERC, Inst Power Generat & Storage Syst PGS, Aachen, Germany|JARA Energy, Juelich Aachen Res Alliance, Aachen, Germany;

    Rhein Westfal TH Aachen, Inst Power Elect & Elect Drives ISEA, Grid Integrat & Storage Syst Anal Dept, Aachen, Germany|Rhein Westfal TH Aachen, E ON ERC, Inst Power Generat & Storage Syst PGS, Aachen, Germany|JARA Energy, Juelich Aachen Res Alliance, Aachen, Germany;

    Rhein Westfal TH Aachen, Inst Power Elect & Elect Drives ISEA, Grid Integrat & Storage Syst Anal Dept, Aachen, Germany|Rhein Westfal TH Aachen, E ON ERC, Inst Power Generat & Storage Syst PGS, Aachen, Germany|JARA Energy, Juelich Aachen Res Alliance, Aachen, Germany;

    Rhein Westfal TH Aachen, Inst Power Elect & Elect Drives ISEA, Grid Integrat & Storage Syst Anal Dept, Aachen, Germany|Rhein Westfal TH Aachen, E ON ERC, Inst Power Generat & Storage Syst PGS, Aachen, Germany|JARA Energy, Juelich Aachen Res Alliance, Aachen, Germany;

    Inst Ecol Econ Res IOW, Berlin, Germany;

    Inst Ecol Econ Res IOW, Berlin, Germany;

    Rhein Westfal TH Aachen, Inst High Voltage Technol IFHT, Sustainable Energy Syst Dept, Aachen, Germany;

    Rhein Westfal TH Aachen, Inst High Voltage Technol IFHT, Sustainable Energy Syst Dept, Aachen, Germany;

    Rhein Westfal TH Aachen, Inst Power Elect & Elect Drives ISEA, Grid Integrat & Storage Syst Anal Dept, Aachen, Germany|Rhein Westfal TH Aachen, E ON ERC, Inst Power Generat & Storage Syst PGS, Aachen, Germany|JARA Energy, Juelich Aachen Res Alliance, Aachen, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Photovoltaic (PV); Home storage system; Battery management strategy; Power supply system; Battery modeling;

    机译:光伏(PV);家庭存储系统;电池管理策略;电源系统;电池建模;

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