Control imrovement of shunt active power filter using an optimized-PI controller based on ant colony algorithm and swarm optimization

• Autorzy: Berbaoui B. , Ferdi B. , Benachaiba C. , Dehini R.
• Języki publikacji: EN

Abstrakty

EN

In the last years, there has been a increase currents harmonics on electrical network injected by nonlinear loads, such as rectifier equipment used in telecommunication system, power suppliers, domestic appliances, ect. This paper makes a comparison of the effectiveness of the two methods on particular optimization problem, namely. The tuning of the parameters for PI DC link voltage to a shunt active power filter. The simulation results demonstrates that the optimized PI controller by ant colony (ACO) presents a advantage of little response time and best control performances compared to the optimized PI with Particle swarm (PSO). This comparison is shown on redu cing harmonic current supply (THD).

Słowa kluczowe

EN

ant colony optimization; particle swarm optimization (PSO); shunt active power filter; armonic compensation; PI controller

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2010
• Tom: Vol. 4, No. 4
• Strony: 19--25
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Berbaoui B.

autor

Ferdi B.

autor

Benachaiba C.

autor

Dehini R.

• Department of Electrical Engineering, Bechar University, B.P 417 BECHAR (08000), Algeria,

Bibliografia

• [1] Fang Zheng Peng, ”Application Issues of Active Power Filters”. IEEE Industry Application Magazine , 1998.
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• [3] Ziegler J.G., Nichols N.B., „Optimum settlings for automatic controllers”. ASME Transactions , Vol. 64, 1942, pp. 759-768.
• [4] Dorigo M., Gambardella L.M., “Ant Colony System: A Cooperation Learning Approach to the Traveling Salesman Problem”. IEEE Trans. Evolutionary Computation, vol. 1, no. 1, 1997, pp. 53-66.
• [5] Maniezzo V., Colorni A., “The Ant System Applied to the Quadratic Assignment Problem”. IEEE Transactions on Knowledge and Data Engineering, vol. 11, issue 5, 1999, pp. 769-778.
• [6] Kennedy J., Eberhart R.C., “Particle Swarm Optimization”. In: Proceedings of the 1995 IEEE international conference on neural networks, vol. 4. Piscataway, NJ: Inst. of Electrical and Electronics Engineers; 1995, pp. 1942-8.
• [7] Wada K., Fujita H., Akagi H., “Considerations of a Shunt Active Filter Based on on Voltage Detection for Installation on a Long Distribution Feeder'. In: Proc. Conf. IEEE-IAS Ann. Meeting , 2001, pp. 157-163.
• [8] Akagi H., Kanazawa Y., Nabae A., ”Generalized Theory of the lnrtrntansour Reactive Power in Three-Phssc Circuirs”. In: Proc. IPEC Tokyo '93 Int. CO Power Electro nics, Tokyo, 1983, pp. 1375-1186.
• [9] Gu J.J., Xu D.G., “Active power filters technology and its development”, Electric Machines And Control , vol. 7, no. 2, 2003, pp. 126-132.
• [10] Jou H.L., Wu J.C., Chu H.Y., “New single-phase active power filter”. Proc. Inst. Elect. Eng., Electr. Power Appl., vol. 141, no. 3, May 1994, pp. 129-134. Fig. 13. Comparative harmonic spectrum of supply current for both with classical PI, PI-AO and PI-PSO.