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Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm

机译:混合改进的蜻蜓算法与蝙蝠搜索算法的可再生能源在微电网中的潮流管理

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In this paper, an efficient hybrid approach is presented for the power flow management of the HRES connected smart grid system. The novelty of the proposed approach is the combined execution of the MDA with BSA named as MDABSA technique. The main aim of the proposed strategy is to control the power flow based on the source side and load side parameters variations. In the proposed approach, the control signals of the voltage source are developed by the MDA based on the variety of power exchange between the source side and load side. Like that, the online control signals are located by the BSA procedure by utilizing the parallel execution against the active and reactive power varieties. The multi objective function is shaped by the grid required active and reactive power varieties created based on the accessible source power. Here, the control parameters of the power controller are enhanced by the proposed technique based control models in light of the power flow varieties. Finally, the proposed model is executed in MATLAB/Simulink working platform and the execution is compared with the existing techniques. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种有效的混合方法,用于HRES连接的智能电网系统的潮流管理。所提出的方法的新颖性是将MDA与被称为MDABSA技术的BSA结合执行。提出的策略的主要目的是基于电源侧和负载侧参数的变化来控制潮流。在所提出的方法中,MDA基于电源侧和负载侧之间的电力交换的多样性来开发电压源的控制信号。这样,通过利用针对有功和无功功率种类的并行执行,通过BSA程序对在线控制信号进行定位。多目标函数由根据可访问源功率创建的电网所需的有功和无功功率种类决定。在此,根据所提出的基于潮流的技术,通过所提出的基于技术的控制模型来增强功率控制器的控制参数。最后,在MATLAB / Simulink工作平台上执行所提出的模型,并将执行结果与现有技术进行比较。 (C)2019 Elsevier Ltd.保留所有权利。

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