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Limits control and energy saturation management for DC bus regulation in photovoltaic systems with battery storage

机译:用电池存储限制光伏系统中直流公交车辆调节的控制和能量饱和度管理

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摘要

Because of the considerable fluctuations of the power generation and load in Photovoltaic (PV) Battery (BAT) systems, power management strategies become indispensable since BAT is needed to maintain the generation/ load balance, and to regulate the DC bus. Indeed, energy management strategies must take into account the limits of the system, i.e. the nominal PV/BAT power rating and the state of charge (SOC) of BAT. However, the actual use might be different from the intended one, forcing the system to attain its limits. This paper is mainly focused on the limits control and energy saturation management applying to a sample standalone DC micro grid. It consists to share accurately the variable power loads among sources according to their ratings, including the regenerative breaking in minimum SOC'BAT case and the full supply of power load demand in maximum SOC'BAT case. Furthermore, the DC bus voltage is regulated to its predefined level, as a design parameter.The proposed control algorithms are detailed, and the system design during overstress and nominal conditions is given. The main advantage of this algorithm is its simplicity. The efficiency of the control strategy for energy saturation management is verified and analyzed through simulation/experimental system using Matlab/Simulink and DSpace. The results obtained show that the proposed technique can intelligently manage the energy flows and thus ensure that the system operates correctly and safely in the different modes: normal mode and saturated mode.
机译:由于光伏(PV)电池(BAT)系统中发电和负载的相当大波动,由于需要蝙蝠来维持生成/负载平衡并调节直流总线,因此电源管理策略变得不可或缺。实际上,能源管理策略必须考虑到系统的限制,即蝙蝠的标称PV / BAT额定值和充电状态(SOC)。但是,实际使用可能与预期的一个不同,强制系统达到其限制。本文主要集中在应用于样本独立DC微电网的限制控制和能量饱和度管理。它包括根据其额定值准确地分享源之间的可变功率负载,包括最小SOC'BAT案例中的再生断裂以及最大SOC'BAT案例中的充分供应电力负载需求。此外,DC总线电压被调节到其预定级别,作为设计参数。所提出的控制算法详述,给出了在过度回收和标称条件期间的系统设计。该算法的主要优点是其简单性。通过使用MATLAB / Simulink和DSPACE的仿真/实验系统验证和分析了能量饱和管理控制策略的效率。获得的结果表明,该技术可以智能地管理能量流动,从而确保系统在不同模式下正确安全地操作:正常模式和饱和模式。

著录项

  • 来源
    《Solar Energy》 |2020年第2期|1301-1310|共10页
  • 作者单位

    Ctr Dev Energies Renouvelables CDER PB 62 Route Observ 16340 Algiers Algeria|Ecole Super Tech Aeronaut & Construct Automobile Dept S2ET ESATACA LAB 12 Rue Paul Delouvrier RD 10 F-78180 Montigny Le Bretonneux France|Univ Sci & Technol Houari Boumediene USTHB Elect & Comp Sci Dept Lab Instrumentat BP 32 El Alia 6111 Bab Ezzouar Algiers Algeria;

    Ecole Super Tech Aeronaut & Construct Automobile Dept S2ET ESATACA LAB 12 Rue Paul Delouvrier RD 10 F-78180 Montigny Le Bretonneux France;

    Univ Sci & Technol Houari Boumediene USTHB Elect & Comp Sci Dept Lab Instrumentat BP 32 El Alia 6111 Bab Ezzouar Algiers Algeria;

    Ctr Dev Energies Renouvelables CDER PB 62 Route Observ 16340 Algiers Algeria;

    Ecole Super Tech Aeronaut & Construct Automobile Dept S2ET ESATACA LAB 12 Rue Paul Delouvrier RD 10 F-78180 Montigny Le Bretonneux France;

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

    Photovoltaic generator; Battery storage; Dc-dc converter; Maximum power point tracking; Smart power management strategy;

    机译:光伏发电机;电池存储;DC-DC转换器;最大功率点跟踪;智能电源管理策略;

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