Comprehensive evaluation of PV-Wind Hybrid system using MATLAB/Simulink. Jayshree sahu*,m.ashfaque Khan**,Dr.S.K.Sahu***

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1 Comprehensive evaluation of PV-Wind Hybrid system using MATLAB/Simulink Jayshree sahu*,m.ashfaque Khan**,Dr.S.K.Sahu*** *NIIST,Bhopal,**NIIST,Bhopal,***RGPM Abstract-The model is useful for simulation of a hybrid PV-wind system connected to load and grid are implemented and the results of simulation are presented.here p-v model,wind model are implemented with Matlab /simulink.useful for power applications and also helpful in research work. Index terms PV model, Wind Model, Hybrid system. Nomenclature Ipv,cell- current generated by incident light Id shocley diode equation I0,cell Reverse saturation current q electron charge Boltzman constant T temperature of p-n junction a diode ideality constant I O saturation current of array Vt thermal voltage or array Ns cell connected in series Np cell connected in parallel Rs equivalent series resistance Rp equivalent parallel resistance Isc short circuit current Voc open circuit voltage (O,Isc) short circuit point Kv voltage coefficient Ki current coefficient P max,m maximum power Pmax,e maximum experimental Power from data sheet (Voc,0) open circuit point (Vmp,Imp) Maximum power point Ipv,n Light generated current at nominal condition at ( 25 0 c and 1000 W/m 2 ) T Tn G WT TWT PWT V CP CQ λ ωwt actual Temperature nominal temperature Solar irradiance wind turbine Torque wind turbine Power wind turbine mean wind speed Power coefficient Torque coefficient Tip speed-ratio WT rotor speed Introduction- Hybrid power systems consist of a combination of renewable energy sources such as: photovoltaic (PV), wind generators, hydro, etc., to charge batteries and provide power to meet the energy demand, considering the local geography and other details of the place of installation. These types of systems, which are not connected to the main utility grid, arc also used in stand-alone applications and operate independently and reliably. The best applications for these systems are in remote places, such as rural villages, in eletrocommunications, etc. The importance of hybrid systems has grown as they appeared to be the right solution for a clean and distributed energy production. It has to be mentioned that new implementations of hybrid systems require special attention on analysis and modeling. One issue is determined by the variable and unpredictable character of energy supply from renewable sources. A major importance for the theoretical study of hybrid systems, based on renewable energy (photovoltaic, wind, hydroelectric systems), is the availability of models, which can be used to study the behavior of 342

2 hybrid systems, and most important, software simulation environments. PV-cell modelling-with the rapid development of study on solar cells, many models are presented to describe the characteristics of solar cells. This method helps us to construct the circuit model of pv cell. Computer simulation seems to reduce the tests for solar cells.this model accepts irradiance and temperature as environmental parameters as input variables, simulate the I-V characteristics of solar cells. Temperature dependence of the reverse saturation current of the diode is (I d ). Temperature dependence of the photogenerated current is (I pv ). Current source: proportional to the light falling on the cell in parallel with a diode. The photovoltaic array can be simulated with an equivalent circuit model based on the photovoltaic model given below, Fig-a, P-V Cell, P-V Module, P-V Array combine to form PV module, no of module combine to form PV array. Fig-c, characteristics I-V curve of a practical PVA device and the three remarkable points: short circuit (0,I sc ), maximum power point (V mp, I mp ) and open circuit (V oc,0). The I-V characteristic of the ideal photovoltaic cell is qv I I I exp 1 pv, cell 0, cell akt.1 Fig-b, P-V Cell model-circuit Diagram Shunt diode ideality factor achieve the best curve match. is set to Series resistance (R s ): gives a more accurate shape between the maximum power point and the open circuit voltage. The light generated current of the photovoltaic cell depends linearly on the solar irradiation and is also influenced by the temperature is given by G I pv I pv, n K I T Gn..2 The diode saturation current I o and its dependence on the temperature may be expressed by 343

3 I I 0 0, n 3 Tn qeg 1 exp T ak Tn T...3 where Eg is the bandgap energy of the semiconductor (Eg 1.12 ev for the polycrystalline Si at 25 C, and I o,n is the nominal saturation current. V t = NskT/q is the thermal voltage of the array with Ns cells connected in series. I o,n is the nominal saturation current, with Vt,n being the thermal voltage of Ns series-connected cells at the nominal temperature T n. I sc, n I0, n V oc, n exp 1 av t, n..4 Maximum experimental power from datasheet q V R I V R I Pmax,e Vmp IPV I0 exp 1 kt ans R p mp s mp mp s mp Matlab model of PV- array.5 For any value of Rs there will be a value of Rp that makes the mathematical I-V curve cross the experimental (Vmp, Imp) point. Vmp ImpR s q R p Vmp Vmp ImpR s / Vmp Ipv Vmp I0 exp Vmp I0 P max,e} Nsa kt Mathematical model of PV-array.6 Wind-Turbine modeling- The WT converts wind energy to mechanical energy by means of a torque applied to a drive train. A model of the WT is necessary to evaluate the torque and power production for a given wind speed and the effect of wind speed variations on the produced torque. The torque TWT and power PWT produced by the WT within the interval [Vmin, Vmax], where V is the mean wind speed, are functions of the WT 344

4 blade radius R, air pressure, wind speed and of coefficients CQ and CP. Twt = ½ ρpr^3cq(λ,θ)v^2..7 Pwt = Cp(λ,θ)Pv = = ½ ρr^2cp(λ,θ) V^3.8 CP is known as the power coefficient and characterizes the ability of the WT to extract energy from the wind. CQ is the torque coefficient and is related to CP according to Cq = Cp/λ Here, λ is the tip-speed-ratio, λ = Wwt R/V 10 Where ωwt is the WT rotor speed..9 Inputs and Outputs of wind turbine Generator speed (pu) Simulink input of the generator speed in pu based on the nominal speed of the generator. Pitch angle (deg) Simulink input of the pitch angle. Wind speed (m/s) Simulink input of the wind speed in m/s. Tm (pu) Simulink output of the mechanical torque of the wind turbine, in pu of the nominal generator torque. The nominal torque of the generator is based on the nominal generator power and speed. Matlab model of Hybrid PV-Wind turbine System Mathematical model of wind turbine Simulation results Matlab model of wind turbine The model is based on the steady-state power characteristics of the turbine. The stiffness of the drive train is infinite and the friction factor and the inertia of the turbine must be combined with those of the generator coupled to the turbine Simulated IV curve of PV-array 345

5 in phase voltage. As we know due to non linear load a lot of harmonic distortion occurs in supply system, due to non linear load harmonic component occurred in voltage waveform of different phases The simulation model allows studies such as: renewable energy sources electrical parameters (powers, voltages, currents etc.) Simulated PV-curve of pv-array renewable energy sources constructive parameters (blades length and number of wind turbine, PV panels number) voltage and frequency control (control algorithms) electrical energy conversion (type of DC/AC conversion) Consumer modeling and control. Phase to phase inverter voltage Power quality distortion phenomena and analysis. Renewable energy availability. Conclusions THD analysis at 50(Hz) Result Analysis It can be seen a voltage waveform distortion caused by electronic devices inverters used for energy conversion in DC/AC module,shows harmonic distortion The full mathematical models for PV array modules were fully developed including the inherently nonlinear I-V characteristics and variations under ambient temperature and solar irradiation conditions.grid connected renewable photovoltaic dynamic control strategies were digitally simulated and validated, using matlab/simulink/simpower system software environment From the results obtained above, the following are the salient conclusions that can be drawn from this paper. A novel of PV/Wind HEPS modeling and simulation problems by using Matlab/Simulink environment has been proposed. By this we can interface two or more types of 346

6 electrical power generation sources and based on optimization we can run the plant as per our need. In further work to that fuel cell, battery can also be added so that in night time when solar power is unavailable the fuel cell and battery can act as a backup source of power. References 1. D. Hansen et. al.," Models for a Stand-alone PV System", RisNational Laboratory, Roskilde, Norway, Dec porter/pdf/sec-r-12.pdf. 2. Hang-Seok Choi,et.al. "Grid- Connected Photovoltaic Inverter with Zero-Current Switching", International Conference on Power Electronics ICPE 2001, Oct. 2001, pp Gregor P. Henze & Robert H. Dodier, "Adaptive Optimal Control of a Grid-Independent Photovoltaic System", Proc. on Journal of Solar Energy Engineering, Vol. 125, No. 1, February 2003, pp Pedro Rosas, Dynamic Influences of Wind Power on the PowerSystem, Ph.D. Thesis, ØRsted-DTU, Section of Electrical power Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark, Geoff Walker. evaluating mppt converter topologies using a matlab pv model Journal of Electrical & Electronics Engineering, 2001, pp: S.Premrudeepreechacharn and N. Patanapirom. Solar-Array Modelling and Maximum Power Point Tracking Using Neural Networks.IEEE Bologana Power Tech Conference Proceedings, Vol.2, Algora, C. and Diaz, V. Design and optimization of very high power density monochromatic GaAs photovoltaic cells. IEEE Transactions on Electron Devices, Vol. 45, No. 9, 1998,pp: Cheknane, T. Aerouts and M. Merad Boudia. Modelling and Simulation of organic bulk heterojunction solar cells. ICRESD-07, Tlemcen, 2007,pp N. vesseid, D. bonnet and H. richter.experimental investation of the double expontial model of a salor cell under illuminated conditions: considering the instrumental uncertainties in the circuit,voltage and temperature values. SOLID-STATE ELECTRONICS vol.38, no.11,1995,pp Y.-C. Kuo, T.-J. Liang, and J.-F. Chen, Novel maximum-powerpointtracking controller for photovoltaic energy conversion system, IEEE Trans. Ind. Electron., vol. 48, no. 3, pp , Jun IEEE Standard Definitions of Terms for Solar Cells, [12] W. Xiao, W. G. Dunford, and A. Capel, A novel modeling method for photovoltaic cells, in Proc. IEEE 35th Annu. Power 347

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