Many global problems have recently arisen regarding rising electrical power consumption resulting in increased costs of electricity, raising concerns about non-renewable energy consumption. Unregulated electrical power generation, climate variation and global warming have all been shown to directly impact environmental degradation, leading to an emergence of severe economic and political repercussions, worldwide [1]. Thus, nations have striven towards clean energy production. Renewable energy production can assist countries in meeting sustainable energy production goals by providing access to safe, cost-effective and clean energy [2]. Despite the benefits of renewable energy, it has limitations due to weather variations, instability and other anomalies which reduce generation efficiency and reliability [3]. Thus, hybrid renewable energy systems could address limitations like efficiency, reliability and economics to satisfy overall energy demands [4]. Many studies have attempted to optimize size, design, control and economic aspects of hybrid renewable energy systems through utilization of technology such as wind turbines and solar modules in conjunction with alternative energy storage systems [5]. To bypass limitations associated with such solutions, various optimization methods, software and analytical methods have been previously applied [6]. However, the utilization of hybrid resources is a contested topic, making a global optimum solution hard to find. To address this,