PSO – PI Based DC Link Voltage Control Technique for Shunt Hybrid Active Power Filter

2016 IEEE

ABSTRACT: In power systems, the intensive use of nonlinear loads causes several power quality problems such as current harmonic pollution. In order to reduce the current harmonic pollution, the shunt hybrid active filter (SHAPF) is the best solutions effectively. In shunt hybrid active filter systems SHAPFs, the design of dc link controller is a significant and challenging task due to its impact on the performance and stability of the overall system. The main contribution of this paper is that the particle swarm optimization (PSO) algorithm is applied gains for PI controller which can result in the improved response in terms of response time and overshoot. In proposed control method, the performance results of harmonic compensation are satisfactory. Theoretical analyses and simulation results are obtained from an actual industrial network model in PSCAD. The simulation results are presented for proposed system in order to demonstrate that the harmonic compensation performance meets the IEEE-519 standard.

KEYWORDS

  1. DC link controller
  2. Harmonics
  3. Particle swarm optimization
  4. Power quality
  5. PSCAD
  6. Shunt hybrid active power filter

SOFTWARE: MATLAB/SIMULINK

 CIRCUIT DIAGRAM:

Figure 1. SHAPF Power System

 EXPECTED SIMULATION RESULTS

 

Figure 2 Comparison of PI, PID and PSO based PI controller for DC link

Control

Figure 3 Three phase Source Voltages, Load – M-SHAPF – Source

Currents, SHAPF DC link Voltage

Figure 4 Source -Load-M-SHAPF active power, Source -Load-M-SHAPF

reactive power

 CONCLUSION

The intensive use of nonlinear loads causes several power quality problems such as current harmonic pollution. In order to reduce the current harmonic pollution, the shunt hybrid active filter (SHAPF) is the best solution effectively. In shunt hybrid active filter systems (SHAPF)s, the design of dc link controller is a significant and challenging task due to its impact on the performance and stability of the overall system. On account of the limitations between existing literatures, the purpose of this paper is that PSO algorithm has been proposed to adapt the dc link controller gains of the SHAPF. In this paper, the particle swarm optimization (PSO) algorithm is applied gains for PI controller which can result in the improved response in terms of response time and overshoot. In proposed control method, the performance results of harmonic compensation are satisfactory. Theoretical analyses and simulation results are obtained from an actual industrial network model in PSCAD. The simulation results are presented for proposed system in order to demonstrate that the harmonic

REFERENCES

[1] B. Soudan and M. Saad, “An evolutionary dynamic population size PSO implementation,” in Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on, 2008, pp. 1–5.

[2] J. Kennedy, “Particle swarm optimization” IEEE International Conference on Neural Network , pp. 1942 – 1948 , 1995. doi: 10.1109/ICNN.1995.488968.

[3] Chien-Hung Liu and Yuan-Yih Hsu, “Design of a Self-Tuning PI Controller for a STATCOM Using Particle Swarm Optimization,” IEEE Transactions on Industrial Electronics, vol. 57, no. 2, pp. 702– 715, Feb. 2010.

[4] J. Turunen, M. Salo and H. Tuusa, “Comparison of three series hybrid active power filter topologies”, 11th International Conference on. Harmonics and Quality of Power, pp. 324–329, Sept. 2004. doi: 10.1109/ICHQP.2004.1409375.

[5] M. A. Mulla, C. Rajagopalan, A. Chowdhury,”Compensation of three-phase diode rectifier with capacitive filter working under unbalanced supply conditions using series hybrid active power filter”, IET Power Electronics, vol.7, (6), pp. 1566–1577, 2014, doi: 10.1049/iet-pel.2013.0605.

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