Title :
Using genetic algorithm and simulated annealing for 27-level PV inverter THD minimization
Author :
Arani, A. A. Khodadoost ; Zaferani, H.R. ; Sanjari, M.J. ; Gharehpetian, G.B.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol. Tehran, Tehran, Iran
Abstract :
Multilevel inverters have many advantages such as low cost, good efficiency and etc, and some application such as PV panels and fuel cells. Cascaded H-bridge MLI is one type of these MLIs. Up to now, different methods for acquiring switching algorithm have been proposed. In this paper, minimization of THD by adjusting switching times of switches is used for a 27-level inverter. For this purpose first THD is defined as a function of these switching angles and then for minimization of this function, two optimization algorithm is used: 1-Genetic Algorithms 2- Simulated Annealing. After achieving these angles, a 27-level inverter one time with ideal DC voltage sources and one time with detailed PV cells as DC voltage sources is simulated and a FFT analyses is done.
Keywords :
fast Fourier transforms; genetic algorithms; harmonic distortion; harmonics suppression; invertors; minimisation; simulated annealing; solar cells; DC voltage sources; FFT analyses; PV cells; PV multilevel inverter THD minimization; cascaded H-bridge MLI; genetic algorithm; optimization algorithm; simulated annealing; switching algorithm; Algorithm design and analysis; Genetic algorithms; Inverters; Minimization; Simulated annealing; Switches; 27-level inverter; Genetic algorithm (GA); Multilevel inverter (MLI); PV cells; Simulated annealing (SA);
Conference_Titel :
Smart Grid Conference (SGC), 2014
Print_ISBN :
978-1-4799-8313-1
DOI :
10.1109/SGC.2014.7090859
