Power inverter system is an alternative power supply to the epileptic power problem from national grid especially within integral part of developing countries because of its eco-friendliness and low-cost maintenance. Appropriate load audition is a major problem in the selection of inverterspecification and choice of accessories (battery bank, solar panel, solar charge controller). Optimum inverter system performance which protects lives, loss of data and properties requires automated load audition technique instead of manual/trial and error methods adopted by many. This study designs Matlab-based automatic electrical load audition software using modified C++ programming language based on mathematical algorithm from electrical/electronic understanding for inverter system efficiency optimization. The designed Matlab-based application is an interactive graphical user interface (GUI) that accepts electrical load data after inspection as input to calculate and displays the optimum parameters of battery bank (V), solar power (W), and number of solar panel of an inverter system for maximum efficiency. Series of inspected electrical load data were acquired from clients within the range of 500W to 5kW to characterize the optimum parameters for inverter system accessories and appropriate inverter capacity rating. In-depth electrical load analysis results are displayed on Matlab GUI for proper system procurement planning. It was found to be seamlessly robust in optimization, reduces execution and trial and error blunders. This enables Matlab to be explored sufficiently for proper planning to avoid manual or guess estimation. It is recommended that this study result is adopted instead of trial and error technique before the installation of inverter system as alternative means to prevent system under usage, overloading, and potential hazard.
Jayeoba et al. (Sun,) studied this question.