The use of distribution automation systems has grown significantly in electricity companies in recent years. The main reason for this is the need to have a smarter network, in order to reduce the time of power interruption. For such applications, communication using radio frequency is preferred because this solution is more reliable than 3G/4G and cheaper than fiber optics. In this context, it is of utmost importance to have a more efficient base transceiver station (BTS) that can cover the communication of a larger area. In this paper, the mathematical concepts of an intelligent antenna array, as well as the logical operation of an intelligent radiation system controller, are presented. Such system receives as inputs the geographic coordinates of network elements and automatically feeds an intelligent Yagi–Uda antenna array with the appropriate parameters, in order to optimize the radiation pattern into the desired directions. The presented model uses a stochastic optimization method to automatically achieve a set of optimal electrical parameters to excite the array and efficiently direct its beams in a fully controlled way. Thus, the results obtained indicate that the proposed intelligent scheme allows the energy optimization of the antenna system, reducing in 61% the number of BTS needed to cover the same area, when compared to traditional collinear antenna systems.

中文翻译：

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智能天线基站收发信机在配电部门的应用

近年来，配电自动化系统的使用在电力公司中显着增加。这样做的主要原因是需要更智能的网络，以减少断电时间。对于此类应用，首选使用射频进行通信，因为该解决方案比 3G/4G 更可靠且比光纤便宜。在这种情况下，拥有一个可以覆盖更大区域通信的更高效的基站收发台 (BTS) 至关重要。本文介绍了智能天线阵列的数学概念，以及智能辐射系统控制器的逻辑操作。这种系统接收网络元素的地理坐标作为输入，并自动馈送具有适当参数的智能八木天线阵列，以便将辐射图优化到所需方向。所提出的模型使用随机优化方法自动获得一组最佳电参数以激发阵列并以完全受控的方式有效地引导其光束。因此，获得的结果表明，与传统的共线天线系统相比，所提出的智能方案可以优化天线系统的能量，将覆盖相同区域所需的 BTS 数量减少 61%。所提出的模型使用随机优化方法自动获得一组最佳电参数以激发阵列并以完全受控的方式有效地引导其光束。因此，获得的结果表明，与传统的共线天线系统相比，所提出的智能方案可以优化天线系统的能量，将覆盖相同区域所需的 BTS 数量减少 61%。所提出的模型使用随机优化方法自动获得一组最佳电参数以激发阵列并以完全受控的方式有效地引导其光束。因此，获得的结果表明，与传统的共线天线系统相比，所提出的智能方案可以优化天线系统的能量，将覆盖相同区域所需的 BTS 数量减少 61%。