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Optimal spatial and temporal demand side management in a power system comprising renewable energy sources

机译:包含可再生能源的电力系统中的最佳时空需求侧管理

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The increase in installed capacity of renewable energy sources (RES) has a positive effect on the development of smart grids and demand side management (DSM). The reason for this is the intermittent nature of renewable energy, which is directly related to the problem of balancing the production and consumption of power within the power system. By using the DSM, the power consumption in the system comprising RES can be easier adjusted to the power production. The paper proposes an improved concept of DSM through the spatial and temporal DSM. The optimal spatial and temporal DSM aims at determining the power diagram of each individual load bus in order to achieve the optimal state in the whole system. The optimal state of the system can be quantified through the minimum daily energy losses or minimum daily operating costs. A mathematical definition of the optimal spatial and temporal DSM problem is presented as well as the algorithm for its solution. The proposed methodology has been tested by three test networks. The results confirm the overall system performance improvements that include: reduction of energy losses in the system, reduction of the operating costs and the increase of the voltage quality within the system. (C) 2017 Elsevier Ltd. All rights reserved.
机译:可再生能源(RES)装机容量的增加对智能电网和需求侧管理(DSM)的发展产生积极影响。其原因是可再生能源的间歇性,这直接关系到电力系统中电力生产和消耗之间的平衡问题。通过使用DSM,可以更轻松地将包含RES的系统中的功耗调整为发电量。本文通过时空DSM提出了DSM的改进概念。最佳空间和时间DSM旨在确定每个单独负载总线的功率图,以便在整个系统中实现最佳状态。系统的最佳状态可以通过最小的每日能量损失或最小的每日运行成本来量化。提出了最佳时空DSM问题的数学定义以及其解决方案的算法。所提出的方法已经过三个测试网络的测试。结果证实了整个系统的性能改进,包括:减少系统中的能量损失,降低运行成本以及提高系统内的电压质量。 (C)2017 Elsevier Ltd.保留所有权利。

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