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Thursday, 27 February 2020

Implementation of Solar Photovoltaic System with Universal Active Filtering Capability



ABSTRACT:
In this work, a novel technique based on second order sequence filter and proportional resonant controller is proposed for control of universal active power filter integrated with PV array (UAPF-PV). Using a second order sequence filter and sampling it at zero crossing instant of the load voltage, the active component of distorted load current is estimated, which is used to generate reference signal for shunt active filter. The proposed method has good accuracy in extracting fundamental active component of distorted and unbalanced load currents with reduced mathematical computations. Along with power quality improvement, the system also generates clean energy through the PV array system integrated to its DC-link. The UAPF-PV  integrates benefits of power quality improvement and distributed generation. The system performance is experimentally evaluated on a prototype in the laboratory under a variety of disturbance conditions such as PCC voltage fall/rise, load unbalancing and variation in solar irradiation.
KEYWORDS:
1.      Power quality
2.      Universal active power filter
3.      Adaptive filtering
4.      Photovoltaic array
5.      Maximum power point tracking
6.      Sequence filter
SOFTWARE: MATLAB/SIMULINK

CIRCUIT DIAGRAM:



Fig.1. System configuration of UAPF-PV System


EXPERIMENTAL RESULTS:


Fig. 2. Simulated Performance of UAPF-PV under Sags and Swells in
Voltages at the PCC


Fig. 3. Simulated Performance of UAPF-PV System under load unbalance
Condition






Fig. 4. Simulated Performance of UAPF-PV System under irradiation
Variation




      (a) Harmonic Spectra and THD of Grid Current                              (b) Harmonic Spectra and THD of
                                                                         Load Current
Fig. 5. Steady State Performance of UAPF-PV System


CONCLUSION:
The performance of a novel control technique for solar PV system with universal active filtering, has been evaluated. The fundamental positive sequence components of nonlinear load currents are extracted using a second order sequence filter along with a zero cross detection technique. The series active filter is controlled using a proportional resonant controller implemented in α − β domain along with feedforward component. The system performs satisfactorily under disturbances such as PCC voltage dip/rise, changes in solar radiation and load disturbances. Apart from improving power quality, the system also supplies power from a PV array into the grid. A comparison of the proposed control shows that the system has improved performance as compared to conventional control techniques with low computational burden. The system integrates distributed generation along with enhancing power quality of distribution system.
REFERENCES:
[1] S. J. Pinto, G. Panda, and R. Peesapati, “An implementation of hybrid control strategy for distributed generation system interface using Xilinx system generator,” IEEE Transactions on Industrial Informatics, vol. 13, no. 5, pp. 2735–2745, Oct 2017.           
[2] B. Singh, A. Chandra, K. A. Haddad, Power Quality: Problems and Mitigation Techniques. London: Wiley, 2015.
[3] S. Singh, B. Singh, G. Bhuvaneswari, and V. Bist, “A power quality improved bridgeless converter-based computer power supply,” IEEE Transactions on Industry Applications, vol. 52, no. 5, pp. 4385–4394, Sept 2016.
[4] M. Peterson and B. N. Singh, “Multipulse controlled ac-dc converters for harmonic mitigation and reactive power management,” IET Power Electronics, vol. 2, no. 4, pp. 443–455, July 2009.
[5] B. Singh, M. Kandpal, and I. Hussain, “Control of grid tied smart pv dstatcom system using an adaptive technique,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 3986–3993, Sept 2018.

Wednesday, 26 February 2020

A Management of power flow for DC Microgrid with Solar and Wind Energy Sources



ABSTRACT:
Today there is a rapid proliferation of DC loads into the market and DC micro grid with renewable energy sources is emerging as a possible solution to meet growing energy demand. As different energy sources like solar, wind, fuel cell, and diesel generators can be integrated into the DC grid, Management of power flow among the sources is essential. In this paper, a control strategy for Management of power flow in DC micro grid with solar and wind energy sources is presented. As the regulation of voltage profile is important in a standalone system, a dedicated converter is to be employed for maintaining the DC link voltage. DC link voltage is regulated by the battery circuit while maximum power is extracted from Solar and Wind to feed the loads connected at the DC bus. A power flow algorithm is developed to control among three sources in the DC Microgrid. The algorithm is tested for various load conditions and for fluctuations in solar and wind power in MATLAB/SIMULINK environment.
KEYWORDS:

1.      DC microgrid
2.      Power flow administration
3.      Photovoltaics
4.      Wind conversion systems

SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM:





Fig. 1 Block diagram of the DC microgrid with Solar and wind energy sources

 EXPERIMENTAL RESULTS:



Fig 2 . Response of the system for increase in load
power





Fig 3. Response of the system for decrease in load power




Fig .4. Response of the system during change in Ppv




Fig .5. Response of the system during change in Pw

 CONCLUSION:
A Management of power flow and control algorithm for DC microgrid with solar and wind energy sources is presented. As the system involves different intermitted energy sources and load whose demand can vary, it is necessary to develop a Management of power flow and control algorithm for the DC Microgrid. To provide ceaseless power supply to the loads and balance the power flow among the different sources at any time, a Management of power flow algorithm is developed. The feasibility of the algorithm has been tested for various load conditions and for  changes in solar and wind power.
REFERENCES:
[1] F. Katiraei, M. R. Iravani, A. L. Dimeas, and N. D. Hatziargyriou, "Microgrids management: control and operation aspects of microgrids, "IEEE Power Energy Mag., vol. 6, no. 3, pp. 54-65, May/Jun. 2008.
[2] W. Jiang and B. Fahimi, “Active current sharing and source  management in fuel cell-battery hybrid power system,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 752–761, Jan. 2010.
[3] L. Xu and D. Chen, "Control and operation of a DC microgrid with variable generation and energy storage," IEEE Trans. Power Del., vol. 26, no. 4, pp. 25 I 3-2522, Oct. 2011.
[4] Jin C, Wang P, Xiao J, "Implementation of hierarchical control in DC microgrids,"IEEE Transaction of Industrial Electronics, vol.61(8), pp.4032-4042,2014.
[5] L. Xiaonan, J. M. Guerrero, S. Kai, and J. C. Vasquez, "An Improved Droop Control Method for DC Microgrids Based on Low Bandwidth Communication With DC Bus Voltage Restoration and Enhanced Current Sharing Accuracy," Power Electronics, IEEE Transactionson,vol.29,pp.1800-1812,2014.