TY - GEN
T1 - Optimization of multilevel inverters using novelty-driven Multi-verse Optimization algorithm
AU - Ceylan, Oguzhan
AU - Neshat, Mehdi
AU - Mirjalili, Seyedali
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/31
Y1 - 2021/8/31
N2 - All over the world, renewable energy technologies which need power electronics based inverters in their designs are becoming more and more popular, thus detailed analysis to test the operational efficiency is required. This paper utilizes a new adaptive Multi-verse Optimization (MVO) Algorithm combined with novelty search method to solve harmonic elimination problem in multilevel inverters. We compare the obtained numerical simulations to those obtained by using the grey wolf optimization and standard MVO algorithm. The numerical simulations are performed on 7, 11, and 15 level inverters with different modulation indexes. From the simulation results, we observe that adaptive novelty search Multi-verse Optimization (MVO) based approach was able to obtain less total harmonic distortion for different modulation indexes.
AB - All over the world, renewable energy technologies which need power electronics based inverters in their designs are becoming more and more popular, thus detailed analysis to test the operational efficiency is required. This paper utilizes a new adaptive Multi-verse Optimization (MVO) Algorithm combined with novelty search method to solve harmonic elimination problem in multilevel inverters. We compare the obtained numerical simulations to those obtained by using the grey wolf optimization and standard MVO algorithm. The numerical simulations are performed on 7, 11, and 15 level inverters with different modulation indexes. From the simulation results, we observe that adaptive novelty search Multi-verse Optimization (MVO) based approach was able to obtain less total harmonic distortion for different modulation indexes.
KW - Harmonic distortion
KW - Local search
KW - Multi-verse Optimization
KW - Multilevel inverters
KW - Novelty search
KW - Optimization
KW - Selective harmonic elimination
UR - http://www.scopus.com/inward/record.url?scp=85116668812&partnerID=8YFLogxK
U2 - 10.1109/UPEC50034.2021.9548192
DO - 10.1109/UPEC50034.2021.9548192
M3 - Conference contribution
AN - SCOPUS:85116668812
T3 - 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings
BT - 2021 56th International Universities Power Engineering Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th International Universities Power Engineering Conference, UPEC 2021
Y2 - 31 August 2021 through 3 September 2021
ER -
