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An electricity trade model for multiple power distribution networks in smart energy systems

机译:智能能源系统中多个配电网络的电力贸易模型

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The future smart energy systems are projected to be decentralized power networks, each consisting of various types of renewable power generators that serve a small group of energy users. Interaction between different power networks through energy trading over a marketplace provides the chance to fully utilize the capacity of each power generator type. As a result of this interaction, the power generation and distribution levels can be decided for each time slot in order to achieve a maximal utility. In this paper, an electricity trade model is introduced for decentralized power networks to deal with the utility maximization problem. In the proposed model, multiple power networks can trade among each other and thus each of them can achieve a utility increase from making use of its comparative advantage on power generation during a certain period of time. The model is studied from several special scenarios to a more general scenario and an efficient solution is presented for each scenario. Experimental result validates the accuracy and efficiency of the presented solutions.
机译:未来的智能能源系统预计将成为分散式电力网络,每个电力网络都包括为一小部分能源用户提供服务的各种类型的可再生发电机。通过市场上的能源交易,不同电力网络之间的相互作用提供了充分利用每种发电机类型的容量的机会。作为这种相互作用的结果,可以确定每个时隙的功率产生和分配水平,以便获得最大的效用。本文针对分散电网引入了一种电力交易模型,以解决效用最大化问题。在提出的模型中,多个电力网络可以相互交易,因此,每个电力网络都可以通过在一定时期内利用其在发电方面的比较优势来提高效用。该模型从几种特殊情况到更一般的情况进行了研究,并为每种情况提供了一种有效的解决方案。实验结果验证了所提出解决方案的准确性和效率。

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