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A new DC/AC inverter with ability of supplying two AC loads, independently, based on flying-capacitor topology is proposed. Flying capacitor enables the converter to have three-level output voltages which results in high-quality output waveforms. Comparing to conventional flying capacitor inverter (FCI) for supplying two loads, the new inverter has lower numbers of semiconductor switches and flying capacitors, up to 25 and 50%, respectively. Comparing to recent works, proposed inverter provides better trade-off between number of components and independent control of loads. Three-phase topology of the proposed inverter consists of three parallel single-phase modules. The inverter can operate in both constant and variable output frequencies. A switched model along with an effective control strategy based on Karnauph Map is also derived for the proposed inverter. High performance of the inverter is verified with both simulation and experimental results. The proposed inverter can mostly be used in applications, such as motor drive, UPS systems, hybrid electric vehicles, and photovoltaic (PV) systems.

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SUMMARYThis paper propose a new method for designing a stand-alone hybrid wind-photovoltaic-diesel-battery system that minimizes the inequality coefficient and annualized cost of system and maximizes the correlation coefficient using multi-objective particle swarm optimization algorithm. The proposed method uses data from solar radiation, temperature, and wind speed that are collected from the city of Zabol, located in south-east of Iran. The results are presented as an optimal Pareto front set and the optimal number of devices, as well as objective functions, that is, inequality coefficient, annualized cost of system, and correlation coefficient. Additionally, a study of the operating hours of diesel generator in optimal configuration is carried out. Simulation results show the match rate between demand, supply, and energy storage. The optimal number of wind turbines, photovoltaic modules, and batteries ensuring that the system total cost is minimized, while guaranteeing a highly reliable source of load power is obtained. The proposed sizing method can be applied to any other locations with different weather data, load demands, and different characteristics.