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Cost-aware renewable energy management: Centralized vs. distributed generation

机译:意识到成本的可再生能源管理:集中式与分布式发电

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摘要

We propose optimization strategies for cooperating households equipped with renewable energy assets and storage devices. We consider two system configurations: In the first configuration, households share access to an energy farm, where electricity is generated from renewable sources and stored in battery banks. In the second configuration, households are equipped with their own renewable energy sources and storage devices, and are allowed to share energy through the grid. The developed optimization model takes into account location and time-varying energy prices as well as energy transfer fees. To design our strategies, we first establish performance bounds, and compare the two configurations in terms of achievable savings and usability of renewable energy. Then, we devise real-time energy management algorithms by incorporating forecasting techniques in the proposed framework. Simulation results show that the proposed strategies outperform existing solutions by up to 10%. It is also shown that cooperative strategies outperform greedy approaches by up to 6.8%. (C) 2019 Elsevier Ltd. All rights reserved.
机译:我们提出了优化策略,以配合配备可再生能源资产和存储设备的家庭。我们考虑两种系统配置:在第一种配置中,家庭共享一个能源农场的访问权,在该农场中,可再生能源产生电能并存储在电池组中。在第二种配置中,家庭配备有自己的可再生能源和存储设备,并允许他们通过电网共享能源。开发的优化模型考虑了位置和随时间变化的能源价格以及能源转移费用。为了设计我们的策略,我们首先确定性能界限,然后根据可实现的节省和可再生能源的可用性比较这两种配置。然后,我们通过在所提出的框架中结合预测技术来设计实时能源管理算法。仿真结果表明,所提出的策略比现有解决方案的性能高出10%。研究还表明,合作策略的效率要比贪婪方法高出6.8%。 (C)2019 Elsevier Ltd.保留所有权利。

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