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Intelligent Extraction of Optimum Power from HRES Using MPPT Variants

Y. Murali Krishna, V. Subrahmanya Aditya, A. Jawahar

Abstract


The paper focuses on the intelligent extraction of optimum power by using different MPPT techniques and its dispatch from a grid tied hybrid generation system comprising of a synchronous generator based wind generator and a Photo-Voltaic generator. Although maximum power point tracking techniques such as Fuzzy Controller and OPPT technique such as PSO algorithm is implemented for PV generator, power extracted from PV system is a fuzzy function of the dc link voltage, its rate of change and the inverter active current component. This is to reduce high frequency oscillations in the dispatched power obtained from PV generator. Such an extraction of the optimum power is considered as a novelty of this paper. The performance of this is also verified under different fault conditions which is occurred at place of grid system. And the harmonics caused by this system is reduced by using active power filter. The effectiveness of the novel power extraction strategy proposed along with the fuzzy PD+I control of converters results in an enhanced power dispatch and a reduction in the oscillations of the currents.

Keywords


Electrical Battery Storage Systems (EBSS), Fuzzy Logic Controller (FLC), Squirrel Cage Induction Generator (SCIG).

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Saedi, W., Lachowiz, S., Haibi, D., et al.: ‘ Power flow control in grid connected microgrid operation using particle swarm optimization using variable loads’, IJEPES, 2013, 49, pp 76-85

Pistoia, G.: ‘Lithium-ion Batteries- Advances and applications’ Elsevier, 1st edition, 2013

Zhu, D., Glanzmann, G.: ‘Real-Time control of energy storage devices in future electric power systems’, IEEE Trondheim Powertech, Norway, 2011

Sonneveld, P., Swinkles, G., Tuijl, B., et al.: ‘Performance of a Concentrated Photovoltaic Energy System with Static Linear Fresnel Lenses’, J of Solar Energy, Elsevier, 85, (3), pp 432-442.

Brognen, M.: ‘Optical efficiency of low concentrating solar energy systems with parabolic reflectors’, Dissertation of Faculty of science and technology, Uppasala University, 2004

C. Meza, J. J. Negroni, D. Biel, and F. Guinjoan, “Energy-balance modeling and discrete control for single-phase grid-connected PV central inverters,” IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2734–2743, Jul. 2008

J. Nedumgatt, K. Jayakrishnan, S. Umashankar, D. Vijayakumar, and D. Kothari, "Perturb and observe mppt algorithm for solar pv systemsmodeling and simulation," in India Conference (INDICON), 2011 Annual IEEE, Dec., pp. 1-6

N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963–973, Jul. 2005.

N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Perturb and observe MPPT technique robustness improved,” in Proc. IEEE Int. Symp. Ind. Electron. 2004, vol. 2, pp. 845–850.

N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “A technique for improving P&O MPPT performances of double-stage grid-connected photovoltaic systems,” IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4473– 4482, Nov. 2009.

Wang, Q., Chang, L.: ‘An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems’, IEEE Tran on Power Electr, 2004, 19, (5), pp-1242-1249

Kadri, R., Gaubert, J., Champenoies, G.: ‘An Improved Maximum Power Point Tracking for Photo-voltaic Grid-connected Inverter Based on Voltage-oriented Control ;, IEEE Trans on Ind Electr, 2011 58, (1), pp 66-75

Patcharaprakiti, N., Premrudeepreechacharan, S., Sriuthaisiriwong, Y.:’ Maximum power point tracking using adaptive fuzzy logic control for grid-connected photo-voltaic system’, J of Renewable Energy, Elsevier, 2005, 30, pp-1771-1788.

Yang Yueneng, Yan Ye. Attitude regulation for unmanned quadrotors using adaptive fuzzy gainscheduling sliding mode control. Aerospace Science and Technology 2016; 54: 208-217.

Dounis Anastasios I, Kofinas Panagiotis, Alafodimos Constantine, Tseles Dimitrios. Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system. Renewable Energy 2013; 60: 202-214.

Kamal, E., Koutb, M., Sobaih, A., Abozalam, B.: ‘An intelligent maximum power extraction algorithm for hybrid winddiesel storage system’, IJEPES, 2010, 32,(3) , pp-170-177

Gouden, N., Peter, S., Nallandula, H., Krithiga, S.: ‘ Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photo-voltaic systems’, J of Renewable Energy, Elsevier, 2009. 34, pg 909-915.

A. Mohd, E. Ortjohann, A. Schmelter, N. Hamsic, and D. Morton. Challenges in integrating distributed energy storage systems into future smart grid. In IEEE International Symposium on Industrial Electronics, pages 1627–1632, 2008.

H. Zhou, T. Bhattacharya, and A. M. Khambadkone. Composite energy storage system using dynamic energy management in microgrid applications. In Power Electronics Conference, pages 1163–1168, 2010. [4] A. Oudalov, T. Buehler, and D. Chartouni. Utility scale applications of energy storage. In IEEE Energy 2030 Conference, 2008.

S. C. Smith, P. K. Sen, and B. Kroposki. Advancement of energy storage devices and applications in electrical power system. In IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008


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