An optimization model of autonomous decentralized energy network and energy routing algorithms based on machine learning techniques

点击翻译按钮获取中文摘要

We study a decentralized solar energy network composed of multiple clusters, which correspond households equipped with PV units, rechargeable batteries, electrical appliances, and an electric power router. The routers manage the power transfer overthe clusters. A mathematical programming model is formulated for optimizing the design and the utilization of this overall energy network in order to evaluate efficiency and stability of the whole energy network. Through some simulation results, the effectiveness and the potential, e.g. for clarifying the effect of the batteries, of the proposed model are investigated. Moreover, we also develop a mathematical programming model which controls degradation of batteries in the decentralized solar energy networks in order to clarify the relationship between the system efficiency and the degree of degradation control.