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Various Types of Particle Swarm Optimization-based Methods for Harmonic Reduction of Cascade Multilevel Inverters for renewable energy sources

Journal Name:

  • International Journal of Innovation and Applied Studies

Publication Year:

  • 2013

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
The use of multilevel inverters in renewable energy such as fuel cell, solar cell, and wind turbines, which use converters, is becoming more prominent. Therefore, the harmonic reduction concept in these inverters is being considered. In this paper, three algorithms (particle swarm optimization (PSO), modified particle swarm optimization (MPSO), and weight improved particle swarm optimization (WIPSO)) are used to determine the optimum switching angles of cascade multilevel inverters for obtaining minimum voltage total harmonic distortion (THD) in a wide range of modulation index. To reduce the THD, selective harmonics should be eliminated by optimal switching angles. In this paper, five switching angles of an Eleven- Level H-bridge inverter are determined by the three mentioned algorithms to reduce the voltage THD. The derived equations for the computation of output voltage THD of an inverter are used as the objective function. This objective function is used to minimize the THD in the output voltage of an inverter. While minimizing the objective function, the selective harmonics such as the 5th, 7th, 11th and 13th can be controlled by using the PSO, MPSO, and WIPSO algorithms. The simulations are performed for an 11 level cascaded multilevel inverter to show the validity of the proposed methods. The results show that all three proposed algorithms can eliminate selective harmonic in optimization problem and output voltage THD decreases. Generally, the WIPSO algorithm finds the answer with less iteration and with higher speed convergence among the proposed methods. The performance of the three mentioned algorithms for THD reduction depends on amplitude modulation index (M). MPSO and WIPSO algorithms have lower iteration numbers than PSO algorithm. Also WIPSO algorithm has higher speed convergence among the proposed methods. All three proposed algorithms reduce the 5th, 7th, 11th and 13th order harmonics in optimization problem.
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REFERENCES

References: 

[1] Duffey CK, Stratford RP Update of harmonic standard IEEE-519: IEEE recommended practices and requirements for
harmonic control in electric power systems. IEEE Trans on Indus Applica 25:1025–1034. (1989)
[2] Maharana MK, Mohanty R PSO based Harmonic Reduction Technique for Wind Generated Power System. Special Issue
of Inter J of Power Sys Op and En Manage 1:100-104.
[3] Carrasco JM, Franquelo LG, Bialasiewicz JT, Galvan E, Guisado RCP, Prats MAM, Leon JI, Alfonso NM Power-electronic
systems for the grid integration of renewable energy sources: A survey. IEEE Trans on Indus Electron 53:1002–1016.
(2006)
[4] Franquelo LG, Rodriguez J, Leon JI, Kouro S, Portillo R, Prats MAM, The age of multilevel converters arrives. IEEE Indus
on Electron 2:28–39. (2008)
[5] Tolbert LM, Peng FZ, Cunnyngham T, Chiasson JN ,Charge balance control schemes for cascade multilevel converter in
hybrid electric vehicles. IEEE Trans on Indus Electron 49:1058–1064, (2002).
[6] Holmes DG, Lipo TA ,Pulse Width Modulation for Power Converters—Principles and Practice. New York: Wiley, NJ: IEEE
Press, (2003).
[7] Kouro S, Rebolledo J, Rodriguez J, Reduced switching frequency modulation algorithm for high-power multilevel
inverters. IEEE Trans on Indus Electron 54:2894–2901, (2007).
[8] Enjeti PN, Ziogas PD, Lindsay JF Programmed PWM techniques to eliminate harmonics: A critical evaluation. IEEE Trans
on Indus Applica 26:302–316, (1990).
[9] Fei W, Du X, Wu B ,A generalized half-wave symmetry SHE-PWM formulation for multilevel voltage inverters. IEEE Trans
Indus Electron 57:3030–3038, (2010).
[10] Sarvi M, Salimian MR, Optimization of specific harmonics in multilevel converters by GA & PSO. UPEC 2010:1-4, (2010).
[11] Taghizadeh H, Tarafdar Hagh M, Harmonic elimination of multilevel inverters using particle swarm optimization. Proc. of
IEEE Int Symp Ind Electron: 393–396, (2008).
[12] Taghizadeh H, Hagh MT, Harmonic elimination of cascade multilevel inverters with nonequal DC sources using particle
swarm optimization. IEEE Trans on Indus Electron 57:3687-3684, (2010).
[13] El-Naggar K, Abdelhamid TH, Selective harmonic elimination of new family of multilevel inverters using genetic
algorithms. Energy Con and Manage 49:89-95, (2008).
[14] Ray RN, Chatterjee D, Goswami SK, An application of PSO technique for harmonic elimination in a PWM inverter. App
Soft Comp 9:1315–1320, (2009).
[15] Ray RN, Chatterjee D, Goswami SK, A PSO based optimal switching technique for voltage harmonic reduction of
multilevel inverter. Expert Systems with App 37:7796–7801, (2010).
[16] Ping XG, Xin WM, Parameter Optimization for Current Controller in HVDC Control System, International Conference on
Power System Technology:1-5, (2010).
[17] Kennedy J, Eberhart R, Particle swarm optimization. Proc. of Inter Con on Neural Net: 1942-1948, (1995).
[18] Deepa SN, Sugumaran G ,MPSO based Model Order Formulation Technique for SISO Continuous Systems, Inter j of Eng
and App Science 7:125-130, (2011).
[19] Khokhar B, KPS Parmar ,A novel weight-improved particle swarm optimization for combined economic and emission
dispatch problems, Inter J of Eng Science and Tech (IJEST), 4:2015-2021, (2012).

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