**2.1 Optimization**

The term optimization is defined as a process, act or methodology of making system design or decision functional or effective as possible according to Hong and Lian [6]. Two practical fundamental methods of optimization exist, thus, the metaheuristics and the simulation-based, will be further discussed in the section of optimization. In another perspective, it is reported that it is finding of an alternative with the highest achievable performance and most cost effective under some constraints through maximizing desired factors and minimizing the undesired ones. However, maximization means an effort to attain desired highest system performance, reliability outcomes regardless of cost and this perception is equally testified by Hong and Lian [6]. However, any practical optimization could be restricted by lack of full data or information, whereas, if some data are available while others are not then linear programming can be employed. Conversely, the optimal sizing of renewable power system components to increase their energy, capacity or performance, thus, providing power, reliability impact is considered optimization according to Kaabeche et al. [7]. Consequently, Power system hybridization is an infrastructural design exploration using optimization tools to configure hybrid renewable energy components to enhance the power reliability enabling zero or minimal loss of power supply probability (LPSP). Probability is the likely hood of getting optimal power supply reliability, and that, notwithstanding all depends on the power supply infrastructure redundancy status. Redundancy of power components can either be fully active or partially actively working with the system structure to allow smooth electric power supply distribution without interruption. Passive means the components are on standby and are only engaged at the point when component failure occurs. Subsequently, system reliability with active redundancy has smoother power supply that does not allow loss of power supply or allows only minimal loss than the passive redundancy reliability component.
