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Analysis on battery storage utilization in decentralized solar energy networks based on a mathematical programming model

机译:基于数学规划模型的分散太阳能网络电池存储利用率分析

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We study a decentralized solar energy network composed of multiple clusters, which correspond to households equipped with PV units, rechargeable batteries, electrical appliances, and an electric power router. Decentralized solar energy network is a new grid systems toward independence from existing power grid, and solar energy is main energy source for the decentralized energy network. Each cluster has a battery storage to use the renewable energy effectively, where battery degradation cannot be overlooked for long-term, persistent operation. This paper proposes an optimal power distribution minimizing the battery degradation on decentralized energy network. Because the battery degradation is unavoidable phenomenon for the battery utilization, we solve the optimal power distribution to keep the degradation minimum. The proposed approach limits the charge/discharge speeds and cycles at mixed integer programming formulation and achieves the optimal utilization of the renewable energy with less charge/discharge cycles. Experimental results using the real measured data of the power generation and consumption show the connection between the parameters for the battery degradation and the system performance.
机译:我们研究了由多个集群组成的分散式太阳能网络,这些集群对应于配备有PV电池,可充电电池,电器和电力路由器的家庭。分散式太阳能网络是一种独立于现有电网的新型电网系统,太阳能是分散式能源网络的主要能源。每个群集都有一个电池存储区,可以有效地使用可再生能源,在这种情况下,长期持续运行不能忽视电池的退化。本文提出了一种最佳的电源分配,以最大程度地减少分散式能源网络上的电池退化。由于电池退化是电池利用率无法避免的现象,因此我们解决了最佳的配电问题,以使电池退化降到最低。所提出的方法限制了混合整数编程公式下的充电/放电速度和循环,并以更少的充电/放电循环实现了可再生能源的最佳利用。使用实际发电量和消耗量实测数据的实验结果表明,电池退化参数与系统性能之间存在联系。

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