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首页> 外文期刊>Transactions of the Institute of Measurement and Control >An efficient control strategy for optimal power flow management from a renewable energy source to a generalized three-phase microgrid system: A hybrid squirrel search algorithm with whale optimization algorithm approach
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An efficient control strategy for optimal power flow management from a renewable energy source to a generalized three-phase microgrid system: A hybrid squirrel search algorithm with whale optimization algorithm approach

机译：从可再生能源到广义三相微电网系统的高效控制策略：一种具有鲸鱼优化算法方法的混合鼠鼠搜索算法

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摘要

This paper introduces a hybrid approach for power flow management (PFM) of the hybrid renewable energy source (HRES) connected microgrid (MG) system. Here, the proposed approach is the combination of both the squirrel search algorithm (SSA) with whale optimization algorithm (WOA) named as SSAWO. Here, the SSA is developing the control signals of the voltage source inverter subject to the difference of power exchange between the source side and load side. The multi-objective function is shaped by the grid required active and reactive power varieties generated based on the accessible source power. The WOA procedures guarantee to locate the online control signals by utilizing the parallel execution against the active and reactive power varieties. The proposed technique-based control model enhances the control parameters of the power controller in light of the power flow varieties. By using the proposed methodology, the PFM of the MG system is controlled based on the source side and load side parameters variations. In order to render the power demand by the grid, the present system is accountable for dominating the energy sources using, optimally, both renewable energy sources and energy storage devices. Finally, the proposed model is implemented in MATLAB/Simulink working platform and the execution equates with the existing techniques.
机译：本文介绍了混合再生能源（HRES）连接的微电网（MG）系统的电流管理（PFM）的混合方法。这里，所提出的方法是Squirrel搜索算法（SSA）与鲸鱼优化算法（WOA）的组合命名为SSAWO。这里，SSA正在开发电压源逆变器的控制信号，该控制信号经受源侧和负载侧的功率交换的差异。多目标函数由基于可访问源功率产生的电网所需的主动和无功功率品种。 WOA程序保证通过利用对主动和无功各品种的并行执行来定位在线控制信号。基于技术的控制模型的基于技术的控制模型鉴于电力流量变化的光控制器的控制参数。通过使用所提出的方法，基于源侧和负载侧参数变化来控制MG系统的PFM。为了通过电网呈现电力需求，本系统是负责使用可再生能源和能量存储设备的能源来定位能源来源。最后，所提出的模型是在MATLAB / SIMULINCK工作平台中实现的，并且执行与现有技术相同。

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