In this paper, the optimal power flow management-based microgrid in hybrid renewable energy sources with hybrid proposed technique is presented. The photovoltaic, wind turbine, fuel cell and battery are also presented. The proposed technique is the combined execution of both spotted hyena optimization and elephant herding optimization. Spotted hyena optimization is utilized to optimize the combination of controller parameters based on the voltage variation. In the proposed technique, the spotted hyena optimization combined with elephant herding optimization plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals for offline way in light of the power variety between source side and load side. The objective function is defined by the system data subject to equality and inequality constraints such as real and reactive power limits, power loss limit, and power balance of the system and so on. The constraint is the availability of the renewable energy sources and power demand from the load side in which the battery is used only for lighting load. By utilizing the proposed method, the power flow constraints are restored into secure limits with the reduced cost. At that point, the proposed model is executed in the Matrix Laboratory/Simulink working platform and the execution is assessed with the existing techniques. In this article, the performance analysis of proposed and existing techniques such as elephant herding optimization, particle swarm optimization, and bat algorithm are evaluated. Furthermore, the statistical analysis is also performed. The result reveals that the power flow of the hybrid renewable energy sources by the proposed method is effectively managed when compared with existing techniques.

中文翻译：

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基于混合技术的混合可再生能源系统中基于高效优化潮流管理的微电网

在本文中，提出了采用混合提议技术的混合可再生能源中基于最佳潮流管理的微电网。还展示了光伏、风力涡轮机、燃料电池和电池。所提出的技术是斑点鬣狗优化和大象放牧优化的组合执行。斑点鬣狗优化用于根据电压变化优化控制器参数的组合。在所提出的技术中，斑鬣狗优化结合大象放牧优化执行评估程序，为系统建立精确的控制信号，并根据源侧和负载侧之间的功率变化建立离线方式的控制信号。目标函数由受等式和不等式约束的系统数据定义，如系统的有功和无功功率限制、功率损耗限制和功率平衡等。约束是可再生能源的可用性和来自负载侧的电力需求，其中电池仅用于照明负载。通过利用所提出的方法，潮流约束以降低的成本恢复到安全限制。此时，建议的模型在 Matrix Laboratory/Simulink 工作平台中执行，并使用现有技术评估执行情况。在本文中，评估了提出的和现有技术的性能分析，如大象群优化、粒子群优化和蝙蝠算法。此外，还进行了统计分析。结果表明，与现有技术相比，所提出的方法对混合可再生能源的潮流进行了有效管理。