Design Simulation and Performance Evaluation of a Standalone Photovoltaic System for a Health Care Facility in Malaysia

Standalone photovoltaic (PV) systems are crucial for providing reliable, cost-effective, and sustainable energy to remote or off-grid locations with limited or no access to the traditional electrical grid. In this context, the sizing of a standalone PV system for a remote health clinic involves determining the clinic's power requirements and matching them with an appropriate PV system's capacity. Maximum power point tracking (MPPT) is a critical aspect of standalone PV systems, as it optimizes the PV system's power output by adjusting the PV array's operating point to the maximum power point (MPP) of the PV module. However, the non-linear behavior of PV systems due to exposure to changing climate conditions and partial shading can hide some faults, making traditional protection devices incapable of detecting them. Therefore, the design of an optimal simulation model of a properly sized standalone PV system is important for simulating and collecting the necessary data to diagnose faults. In this study, a standalone PV system for a hypothetical clinic in Malaysia is proposed, and it is sized based on peak sun hours. Its simulation model is built using MATLAB/Simulink (R2018b). The proposed simulation system's performance was evaluated considering the proper design of the PV system's boost converter within the changing conditions, and its ability to harvest maximum power points is considered a criterion for evaluating the performance. Various scenarios of uniform irradiance, uniform temperatures, shading effects, and sequential partial shading scenarios were implemented to evaluate the proposed simulation model. Results show that the proposed simulation model is suited to simulating different tests as it can harvest maximum power in all test scenarios.

Automated summary

Starting from the power requirements of the clinic, an appropriate sizing of a standalone PV system is determined and a simulation model is built using MATLAB/Simulink (R2018b) software for a clinic in Malaysia. The proposed simulation model is able to harvest maximum power in all test scenarios according to the evaluation results.