Weitere Kapitel dieses Buchs durch Wischen aufrufen
The exponential growth of power electronic controlled equipment and non-linear loads have given rise to a type of voltage and current waveform distortion, termed as ‘harmonics’, adversely affecting the power quality (PQ). Moreover, the sensitivity of these equipments to PQ disturbances has motivated the researchers to develop dynamic and adjustable solutions for harmonic mitigation. Active power filters (APFs) address almost each attribute of PQ depending upon the topology used. The current controlled voltage source inverter (VSI) based shunt active power filter (SAPF) emerges out to be an undisputed alternative for current harmonic mitigation. SAPF having pulse width modulation (PWM) controlled voltage source inverter (VSI) topology is extensively used in distribution power systems, which conventionally utilizes the PI controller for reference voltage tracking. In recent times, Fuzzy logic controllers (FLCs) have been established as viable alternatives of conventional PI controllers in highly non-linear control applications, with varying operating conditions. The improved performance of conventionally used large rule FLC is achieved at the cost of increased complexity, leading to large computational time, and memory requirement. Conventionally triangular membership functions (MFs) are used to represent input and output variables of an FLC. In this chapter other less explored MFs such as generalized bell (Gbell), Gaussian and difference sigmoid (Dsig) are also investigated to find optimal membership function. Gaussian MFs based FLC evolves as the optimized FLC in terms of providing effective harmonic compensation along with efficient dynamic response under randomly varying loading conditions. The chapter focuses on three main areas, i.e., PQ problem of current harmonics and its mitigation, selection of optimized FLC for shunt APF and complexity reduction of optimized FLC using an approximation technique. The proposed approximation is based on minimizing the sum of square errors, between the outputs of large rule FLC and simplest 4-rule FLC. This approximation of large rules optimized FLC results in reduced computational and functional complexity and less memory requirement without compromising the control performances of FLC in terms of dynamic response and harmonic compensation capabilities. Proposed approximation technique considerably improves the harmonic compensation performance of shunt APF, due to effective approximation and smoother transition of output in the entire UOD.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Akagi, H., Kanazawa, Y., & Nabae, A. (1984). Instantaneous reactive power compensators comprising switching devices without energy storage components. IEEE Transactions on Industrial Applications, IA 20(3), 625–630. CrossRef
Arrillaga, J., Bradley, D. A., & Bodger, P. S. (1985). Power system harmonics. London: Wiley.
Bezine, H., Derbel, N., & Alimi, A. M. (2002). Fuzzy control of robotic manipulator: Some issues on design and rule base size reduction. Engineering Applications of Artificial Intelligence, 15, 401–416. CrossRef
Ciliz, M. K. (2005). Rule base reduction for knowledge based fuzzy controller with application to vacuum cleaner. Expert System with Applications, 28, 175–184. CrossRef
Dixon, J. W., Contardo, J. M., & Moran, L. A. (1999). A fuzzy controlled active front end rectifier with current harmonics filtering characteristics and minimum sensing variables. IEEE Transactions on Power Electronics, 14(4), 724–729. CrossRef
Hampel, R., & Chaker, N. (1998). Minimizing the variable parameters for optimizing the fuzzy controller. Fuzzy Sets and Systems, 100, 131–142. CrossRef
Ibrahim, W. R. A., & Morcos, M. M. (2002). Artificial intelligence and advanced mathematical tools for power quality applications: A survey. IEEE Transactions on Power Delivery, 17(2), 668–673. CrossRef
IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems (1993). IEEE Standard 519-1992, New York.
Jain, S., Agarwal, P., Gupta, H.O., & Agnihotri, G. (2005). Modeling of frequency domain control of shunt active power filter using MATLAB simulink and power system blockset. In Proceedings of 8th International Conference on Electrical Machine and Systems (ICEMS) (vol 2 pp. 1124–1129), Sept 27–29 2005, Nanjing, Beijing, China. doi 10.1109/ICEMS.2005.202721.
Lee, H. X., & Gatland, H. B. (1995). A New methodology for designing a fuzzy logic controller. IEEE Transactions on System, Man, Cybernetics, 25(3), 505–512. CrossRef
Moser, B., & Navara, M. (2002). Fuzzy controllers with conditionally firing rules. IEEE Transactions on Fuzzy Systems, 10(3), 340–349. CrossRef
Nagrath, I. J., & Gopal, M. (2005). Control System Engineering. New Delhi: New Age International Publishers.
Singh, B., Al-Haddad, K., & Chandra, A. (1999). A review of active filters for power quality improvement. IEEE Transactions on Industrial Electronics, 46(5), 960–971. CrossRef
Singh, R., & Singh, A. K. (2012). Design and analysis of an improved approximated fuzzy logic controller for shunt active power filter. International Journal of Fuzzy System Applications (IJFSA), 2(3), 69–89. CrossRef
Singh, R., Singh, A. K., & Arya, R. K. (2011b). Approximated simplest fuzzy logic controlled shunt active power filter for current harmonic mitigation. International Journal of Fuzzy System Applications (IJFSA), 1(4), 18–36. CrossRef
Singh, R., Singh, A. K., & Arya, R. K. (2013). Approximated fuzzy logic controlled shunt active power filter for improved power quality. Expert Systems, 30, 152–161. CrossRef
Singh, R., Singh, A. K., & Kumar, P. (2011a). Comparison of three evolutionary algorithms for harmonic mitigation using SAPF. In 6th IEEE International Conference on Industrial and Information Systems (ICIIS) (pp. 392–397), Aug 16–19, 2011, Kandy, Sri Lanka. doi 10.1109/ICIINFS.2011.6038100.
Singh, G. K., Singh, A. K., & Mitra, R. (2007). A simple fuzzy logic based robust active power filter for harmonic minimization under random load variation. Electric Power System Research, 77, 1101–1111. CrossRef
Subjak, J. S, Jr, & McQuilkin, J. S. (1990). Harmonics-causes, effects, measurements, and analysis: An update. IEEE Transactions on Industry Applications, 26(6), 1034–1042. CrossRef
Ying, H. (2000). Fuzzy control and modeling: Analytical foundations and applications. New York: IEEE Press. CrossRef
Zeng, X., & Singh, M. G. (1994). Approximation theory of fuzzy systems-SISO case. IEEE Transactions on Fuzzy Systems, 2(2), 162–194. CrossRef
Zeng, X., & Singh, M. G. (1995). Approximation theory of fuzzy systems-MIMO case. IEEE Transactions on Fuzzy Systems, 3(2), 219–235. CrossRef
- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter
Asheesh K. Singh
Rakesh K. Arya
Neuer Inhalt/© ITandMEDIA, Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung/© astrosystem | stock.adobe.com