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Geometric Process-Based Maintenance and Optimization Strategy for the Energy Storage Batteries

机译:基于几何过程的储能电池维护与优化策略

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摘要

Renewable energy is critical for improving energy structure and reducing environment pollution. But its strong fluctuation and randomness have a serious effect on the stability of the microgrid without the coordination of the energy storage batteries. The main factors that influence the development of the energy storage system are the lack of valid operation and maintenance management as well as the cost control. By analyzing the typical characteristics of the energy storage batteries in their life cycle, the geometric process-based model including the deteriorating system and the improving system is firstly built for describing the operation process, the preventive maintenance process, and the corrective maintenance process. In addition, this paper proposes an optimized management strategy, which aims to minimize the long-run average cost of the energy storage batteries by defining the time interval of the detection and preventive maintenance process as well as the optimal corrective maintenance times, subjected to the state of health and the reliability conditions. The simulation is taken under the built model by applying the proposed energy storage batteries' optimized management strategy, which verifies the effectiveness and applicability of the management strategy, denoting its obvious practicality on the current application.
机译:可再生能源对于改善能源结构和减少环境污染至关重要。但是其强烈的波动性和随机性在没有储能电池配合的情况下严重影响了微电网的稳定性。影响储能系统发展的主要因素是缺乏有效的运维管理和成本控制。通过分析储能电池生命周期的典型特征,首先建立了包括劣化系统和改进系统的基于几何过程的模型,以描述其运行过程,预防性维护过程和纠正性维护过程。另外,本文提出了一种优化的管理策略,旨在通过定义检测和预防性维护过程的时间间隔以及最佳的纠正性维护时间,来最小化储能电池的长期平均成本。健康状况和可靠性条件。应用所提出的储能电池优化管理策略,在建立的模型下进行了仿真,验证了该管理策略的有效性和适用性,表明了其在当前应用中的明显实用性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第3期|9798406.1-9798406.8|共8页
  • 作者单位

    Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China;

    Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China;

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