In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic (PV)-wind-battery hybrid system using a novel energy filter algorithm. The main objective of this paper is to minimize the total cost of the hybrid system, while maintaining its reliability. Along with the reliability constraint, some of the important parameters, such as full utilization of complementary nature of PV and wind systems, fluctuations of power injected into the grid and the battery’s state of charge (SOC), have also been considered for the effective sizing of the hybrid system. A novel energy filter algorithm for smoothing the power injected into the grid has been proposed. To validate the proposed method, a detailed case study has been conducted. The results of the case study for different cases, with and without employing the energy filter algorithm, have been presented to demonstrate the effectiveness of the proposed sizing strategy.

中文翻译：

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基于能量滤波算法的遗传算法改进的太阳风电池混合系统最优定型策略

本文采用一种新的能量过滤算法，将遗传算法（GA）应用于优化并网的太阳能光伏（PV）-风电混合系统。本文的主要目的是在保持其可靠性的同时，将混合系统的总成本降至最低。除可靠性限制外，还考虑了一些重要参数，例如充分利用光伏和风能系统的互补性，注入电网的电力波动以及电池的荷电状态（SOC），以实现有效的尺寸确定。混合系统。提出了一种用于平滑注入电网的能量的新型能量滤波器算法。为了验证所提出的方法，已经进行了详细的案例研究。不同案例的案例研究结果，