Abstract
This paper reveals an enhanced control algorithm by employing a novel idea known as step size error elimination in order to achieve improved control over DC-coupled capacitor voltage in modified Shunt active line conditioner (MSALC). Earlier works on self-restoring algorithms were reported solely under operation for steady-state condition. But self-restoring algorithms were employed by any one of the controllers such as conventional proportional—integral (PI) or adaptive fuzzy logic control (FLC). But, power system will be subjected to dynamic operation also. Therefore, by proposing step size error elimination (SSEE) as a merit feature to the self-restoring algorithm, all the conditions such as steady-state and dynamic operations in the power system can be enhanced. For analysis and evaluation, self-restoring with SSEE algorithm was developed and MATLAB–Simulink environment tool was employed for stimulation along with MSALC. From the result outcomes, it was proved that the proposed self-restoring with SSEE stands to be remarkable with high accuracy, high frequency response, and minimum overshoot and undershoot feature. It responds excellently under conditions such as steady-state and dynamic operations.
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References
Abdel Aziz MM, Zobaa AF, Hosni AA (2006), “Neural network controlled shunt active filter for nonlinear loads,” Eleventh Int. Middle East Power Systems Conf., pp. 180–188.
Abdul Rahman NFA, Radzi MAM, Mariun N, CheSoh A, Rahim NA (2013),“Integration of dual intelligent algorithms in shunt active power filter,” IEEE Conf. on Clean Energy and Technology (CEAT), pp. 259–264.
Afghoul H, Krim F (2012), “Comparison between PI and fuzzy DPC control of a shunt active power filter,” Second IEEE ENERGY CON Con. &Exhibition Advances in Energy Conversion Symp., pp. 146–151.
Akagi ANH, Kanagawa Y (1983) Generalized theory of the instantaneous reactive power in three-phase circuits. In: International conference on Power Electron.
Akagi H (1996), “New trends in active filter for power conditioning,” IEEE Trans Industrial Application, Vol.32, No.6, pp. 423–435.
Bhattacharya A, Chakraborty C (2011), “A shunt active power filter with enhanced performance using ANN-based predictive and adaptive controllers,” IEEE Trans. Ind. Electron., Vol. 58, No. 2, pp. 421–428.
Bhim Singh AC, Al-Haddad K (1999), “Computer-aided modeling and simulation of active power filters,” Electr. Mach. Power Syst., Vol. 27, pp. 1227–1241.
Dugan RC, McGranaghan MF, Santoso S, Beaty HW (2003), Electrical power systems quality, 2nd edn, McGraw-Hill, New York.
Gyugyi L, Strycula E (1976) Active ac power filters. In: Proceedings IEEE Ind. Appl. Ann. Meeting 19-C (NA), pp 529.
Habrouk ME, Darwish Mk, Mehta P(2000), “Active power filters a review,” IEEE Proc Elect Power Application, Vol.147, No.5, 403. doi:10. 1049/ip-epa: 20000522.
IEEE Standard 1159: (2014)“IEEE Recommended Practice for Monitoring Electric Power Quality,” Institute of Electrical and Electronics Engineers, New York.
Jain SK, Agrawal P, Gupta HO (2002), “Fuzzy logic controlled shunt active power filter for power quality improvement,” IEEE Proc. Electrical Power Applications, No.149, pp. 317–328.
Mikkili S, Panda AK(2013), “Types-1 and -2 fuzzy logic controllers-based shunt active filter Id–Iq control strategy with different fuzzy membership functions for power quality improvement using RTDS hardware,” IET Power Electron., Vol. 6, No. 4, pp. 818–833.
MorenoVM, Lopez AP, GarcĂas RID (2004), “Reference current estimation under distorted line voltage for control of shunt active power filters,” IEEE Trans. Power Electron., Vol. 19, No. 4, pp. 988–984.
Orfanoudakis GI, Yuratich MA, Sharkh SM (2013), “Analysis of DC-link capacitor current in three-level neutral point clamped and cascaded H-bridge inverters,” IET Power Electron., Vol. 6, No. 7, pp. 1376–1389.
Petit JF, Robles G, and Amaris H (2007), “Current reference control for shunt active power filters under non sinusoidal voltage conditions,” IEEE Transaction on Power Delivery, vol. 22, no. 4, pp. 2254–2261.
Ponpandi R, Durairaj D (2011), “A novel fuzzy-adaptive hysteresis controller based three phase four wire-four leg shunt active filter for harmonic and reactive power compensation,” Energy Power Eng. Vol. 3, pp. 422–435.
Singh B, Verma V, Solanki J (2007),“Neural network-based selective compensation of current quality problems in distribution system,” IEEE Trans. Ind. Electron, Vol. 54, No. 1, pp. 53–60.
Singh ACB, Al-Haddad K (2014), “A review of active filters for power quality improvement,” IEEE Trans Industrial Electron, Vol. 46, No. 5, pp. 960–972.
Suresh Y, Panda AK, Suresh M (2012),“Real-time implementation of adaptive fuzzy hysteresis-band current control technique for shunt active power filter,” IET Power Electron., No. 5, pp. 1188–1195.
Trinh QN and. Lee HH (2013), “An advanced current control strategy for three phase shunt active power filters,” IEEE Trans. Ind. Electron., vol. 60, No.12, pp. 5400 –5410.
Vasumathi B, Moorthi S (2011), “Harmonic estimation using modified ADALINE algorithm with time-variant Windrow–Hoff (TVWH) learning rule,” IEEE Symp. on Computers & Informatics, pp. 113–118.
Wenjin D., Taiyang H (2007), “Design of single-phase shunt active power filter based on ANN,” IEEE Int. Symp. on Industrial Electronics, pp. 770–774.
YongtaoD, Wenjin D (2008), “Harmonic and reactive power compensation with artificial neural network technology,” Proc. 7th World Congress on Intelligent Control and Automation, pp. 9001–9006.
Zainuri MAAM, Radzi MAM, Che Soh A, Mariun N, Rahim NA (2016), “ DC-coupled capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm,” IET Power Electron., Vol. 9, No. 2, pp. 323–335.
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Muralikrishnan, G., Mohanty, N.K. (2019). Modified Shunt Active Line Conditioner Using Enhanced Self-restoring Technique with Step Size Error Elimination Algorithm. In: Bhaskar, M., Dash, S., Das, S., Panigrahi, B. (eds) International Conference on Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 846. Springer, Singapore. https://doi.org/10.1007/978-981-13-2182-5_24
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