Abstract Integrating an energy storage device into a grid-connected photovoltaic system not only increases the self-consumption of the installation, but it also helps to solve the many issues related to photovoltaic power grid injection. Thus, the first phase of this study interested in determining the optimal battery capacity for a grid-connected photovoltaic installation with the objective of minimizing the operating cost. The second phase consisted in the implementation of an energy management algorithm to manage the energy flows of the grid-connected photovoltaic-battery installation. Therefore, five operating scenarios were introduced in an attempt to maximize self-consumption, control the battery safety, and minimize the load consumption from the grid. Three home consumption profiles were implemented in this study (5 KVA,10 KVA, and 17 KVA). Optimal battery capacity value for each load was obtained using an optimization algorithm. Results of the energy management algorithm confirmed that the self-consumption improvement, the battery protection, and the continuity of load supply. Thus, the efficiency of the proposed solution was confirmed by a 100% self-consumption for a load less than 10 KVA and 86% for a 17 KVA load.

中文翻译：

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并网光伏电池装置的新型配置和优化能量流管理

摘要 将储能装置集成到并网光伏系统中，不仅增加了装置的自耗，而且有助于解决光伏并网注入的诸多问题。因此，本研究的第一阶段感兴趣的是确定并网光伏装置的最佳电池容量，目的是最大限度地降低运营成本。第二阶段包括实施能源管理算法来管理并网光伏电池装置的能量流。因此，引入了五种运行场景，试图最大化自耗，控制电池安全，并最小化电网负载消耗。本研究实施了三个家庭消费概况（5 KVA、10 KVA 和 17 KVA）。使用优化算法获得每个负载的最佳电池容量值。能量管理算法的结果证实了自耗改善、电池保护和负载供电的连续性。因此，所提出的解决方案的效率通过负载小于 10 KVA 的 100% 和 17 KVA 负载的 86% 的自耗得到证实。