This paper proposes a real-time schedule model of a microgrid (MG) for maximizing battery energy storage (BES) utilization. To this end, a BES life model is linearized using piece-wise linearization and big-M method to assess the BES life loss (BLL) in a real-time manner. The cost-effective schedule model of the MG with multiple energy resources aims to maximize BES utilization while ensuring its sufficient lifespan. Corresponding to the optimization model, approximate dynamic programming (ADP) for maximizing BES utilization (ADP-MBU) in the real-time schedule is proposed to optimize the system under stochastic environments. In ADP-MBU, a new value function approximation method employing the BES cumulative life loss (BCLL) is developed to improve the optimality and applicability. The proposed ADP-MBU algorithm can achieve satisfactory approximate optimality while reflecting the variation of real-time BLL. Case studies validate the applicability of the proposed MG schedule model and the advantages of the proposed ADP-MBU algorithm.

中文翻译：

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最大化电池储能利用率的微电网实时调度


本文提出了一种微电网（MG）的实时调度模型，以最大限度地提高电池储能（BES）的利用率。为此，使用分段线性化和大M方法对BES寿命模型进行线性化，以实时评估BES寿命损失（BLL）。多能源MG的经济有效的调度模型旨在最大限度地提高BES利用率，同时确保其足够的使用寿命。与优化模型相对应，提出了在实时调度中最大化BES利用率的近似动态规划（ADP）（ADP-MBU）来优化随机环境下的系统。在ADP-MBU中，开发了一种采用BES累积寿命损失（BCLL）的新价值函数逼近方法，以提高优化性和适用性。所提出的ADP-MBU算法能够在反映实时BLL变化的同时获得满意的近似最优性。案例研究验证了所提出的MG调度模型的适用性以及所提出的ADP-MBU算法的优势。