2010 2nd IEEE International Symposium on Power Electronics for Distributed Generation Systems A New Approach to Achieve Maximum Power Point Tracking for PV System with a Variable Inductor Longlong Zhang*, William Gerard Hurley**, and Werner Wölfle** * Institute of Power Electronics, Zhejiang University, Hangzhou, P. R. China ** Department of Electrical & Electronic Engineering, National University of Ireland, Galway, Ireland where D is the duty cycle of the buck converter, and RL is the load resistance of the buck converter. Abstract—Maximum Power Transfer in solar photovoltaic applications is achieved by impedance matching with a dc-dc converter with maximum power point tracking by the incremental conductance method. Regulation and dynamic control is achieved by operating with continuous conduction. It can be shown that under stable operation, the required output inductor has an inductance versus current characteristic whereby the inductance falls off with increasing current, corresponding to increasing incident solar radiation. This paper describes how a variable sloped air-gap inductor whereby the inductor core progressively saturates with increasing current meets this requirement and has the advantage of reducing the overall size of the inductor by 60% and increases the operating range of the overall tracker to recover solar energy at low solar levels. iP + vP C1 (a) iP + r − VOC ' + vP RLR − I. INTRODUCTION vP = iP ⋅ RLR vP = VOC'−iP ⋅ r There have been renewed interests in solar PV in recent years and thus led to further studies in Maximum Power Point Tracking (MPPT) [1-3]. MPPT in solar photovoltaic (PV) systems is normally achieved by either the Perturb and Observe method (P&O) or by the Incremental Conductance Method (ICM). In the ICM approach, the output resistance of the PV panel is equal to the load resistance as expected from the celebrated max power transfer theorem; this may be shown by linearising the I-V output characteristic of a PV panel about the operating point as illustrated in Fig. 1. Thus the equivalent resistance r at the maximum power point should meet the following equation, (b) iP 1 RLR I SC I P1 1 r IP2 VP1 VP2 VOC (1) VOC ' (c) Fig. 1 (a) Maximum Power Transfer in a PV Module (b) Thevenin Equivalent Circuit (c) MPPT Based on Impedance Matching RLR is the regulated resistance in order to achieve MPPT, VP and I P are the PV voltage and where current at the MPP. The actual load resistance is matched to RLR by a buck converter through the control of the duty cycle D , the regulated resistance R LR is 1 (2) RLR = 2 RL D The equivalent circuit of a PV module is shown in Fig. 2. The main equations are summarized in the Appendix Consider two levels of illumination intensity at points and in Fig. 1(b), the current at the MPP decreases going from 1 to point 2, which changes the value of the PV resistance at the MPP. In order to ① This work was supported by the China Scholarship Council (CSC), File No. 2009102634. 978-1-4244-5670-3/10/$26.00 ©2010 IEEE RL D1 − Index Terms—MPPT, Variable Inductor, Impedance Matching, Photovoltaic. ∆V V −r = − = RLR = P ∆I IP iL LV M1 948 ② achieve MPPT, the regulated resistance adjusted by changing the duty cycle ID I ph VD Conversely, the higher value of inductance required at light loads may be achieved without increasing the volume of the inductor. Variable inductance may be achieved using a sloped air-gap (SAG), whereby the inductor core progressively saturates with increasing current [5]. Alternatively, a powered iron core may be used so that it is progressively saturated with increasing current to yield the L-i characteristics of Fig. 4. The use of a reconfigurable inductor in a boost circuit for PV applications is described in [6]. RLR should be D in (2). I RS D Fig. 2 Equivalent Circuit of a PV Module The buck converter should work in the Continuous Current Mode (CCM) in order to satisfy (2). In discontinuous conduction mode this relationship is not valid and the stable operation of the converter is more complex. In continuous conduction, for a load power change the duty cycle changes temporarily during a transient but it reverts to Vout/Vin in the steady state. On the other hand in discontinuous conduction the power is a function of the dead time and therefore a different control strategy is required that involves dual control moving from CCM to DCM and vice versa. II. CHARACTERISTICS OF VARIABLE INDUCTOR The Inductance versus current (L-i) characteristic of the variable inductor is shown in Fig. 4(a). The variable inductor is based on a sloped air-gap (SAG) and the L-i characteristic of the inductor is controlled by the shape of the air-gap [5]. A typical construction is shown in Fig. 4(b). L The minimum inductance in a buck converter in CMM is given by R ⋅ (1 − D ) (3) Lmin = L 2 fs i f s is the switching frequency. where The minimum inductance may be restated by combining (1), (2) and (3) to yield D 2 ⋅ (1 − D ) ⋅ VP (4) Lmin = 2 fs ⋅ IP The PV voltage is relatively constant over the full range of solar intensity [4] ( VP = 41.6V in the example to follow), thus the minimum inductance is a function of duty cycle D and the output current of the PV panel I P under a constant switching frequency (fs=20kHz). The characteristics of the minimum inductance under different duty cycles are shown in Fig. 3. Fig. 4 Characteristics of the Variable Inductor The role of the variable inductor in the stable operation of the buck converter is explained by reference to Fig. 5. Continuous conduction can only be achieved with inductance values above the dashed line in Fig. 5 (the shaded area is off limits). The lower limit of load current (corresponding to low solar insolation) is given by IO1 as long as the inductance is greater than L1. Evidently, at higher currents (and higher insolaton levels), say IO2, a smaller inductor L2 would suffice, with the added advantage of a reduced volume occupied by the inductor. Conversely, setting the inductance at L2 would limit the lower load range to values of current (and solar insolation) greater than IO2. The variable inductor with the L-i characteristic shown in Fig. 4 has the advantages of increasing the load range and reducing the inductor volume by up to 60% [5]. 200 D=0.87 D=0.5 D=0.67 Lmin(uH) 150 100 L 50 L1 0 0 1 2 3 4 5 Inductor Current (A) L2 Fig. 3 The Characteristics of the Minimum Inductance under Different Load Conditions 0 I o1 Evidently the minimum inductance to achieve CCM falls off as the solar intensity increases. Io2 IO Fig. 5 Comparison of CCM Conditions in an MPPT DC/DC Converter with a Variable Inductance. 949 The voltage across an inductor is related to its flux linkage and this in turn is related to the current, the dependence of the inductance on its current must be taken into account: dλ , λ = L(i ) ⋅ i ; V= dt di dL , = L +i dt dt dL di , = L +i ⋅ di dt di = Leff ⋅ . dt The variation in internal resistance at the maximum power point is shown in Fig. 6(a) and the corresponding value Lmin in shown in Fig. 6(b) TABLE I PARAMETERS UNDER DIFFERENT LOAD CONDICTIONS Internal Maximum Insulation VP Resistance IP(A) D Power (W/cm2) (V) Output(W) ( ) 800 41.3 4.1 169 0.89 10.07 600 41.4 3.1 128 0.77 13.35 400 41.6 2.0 83.2 0.627 20.49 200 41.6 1.0 41.6 0.44 40.78 Ω (5) Lmin (µH) 21.3 45.2 75.1 111 The converter used for the experimental validation of the role of the variable inductor is shown in Fig. 7(a) and the circuit schematic in Fig. 7(b). Leff in (5) is readily found from the L/i characteristic of the inductor. The Leff versus current characteristic is more insightful. For the purposes of this paper we shall use Leff for characterizing the inductor III. SIMULATION RESULTS AND DISCUSSION Simulation studies were carried out on a 210W Sanyo HIP photovoltaic module. The solar insolation was varied from 200 W/m2 to 800 W/m2. The results are summarized in Table 1 for the PV panel voltage Vp and current Ip at the maximum power point as well as the internal resistance and the required duty cycle D for continuous conduction at 20 kHz. 45 Internal Resistance r (Ohm) 40 (a) Prototype Converter 35 30 LVR 25 20 D1 15 RL C1 10 5 0 0 200 400 600 800 1000 Solar Insolation(W/m2) (a) (b) Fig. 7 (a) Prototype Converter and (b) Equivalent Circuit. 120 140 80 120 100 60 Lmin(uH) Lmin(uH) 100 40 20 80 60 40 0 20 0 200 400 600 800 1000 0 Solar Insolation(W/m2) 0 (b) 1 2 3 4 5 Inductor Current (A) Fig. 6 (a) Internal Resistance (b) Minimum Inductance as a Function of Solar Insolation. Fig. 8 Mesaured Inductance and Mimimum Inductance. 950 (a) 21.3 µH 800 W/m2 (a) 21.3 µH 800 W/m2 (b)21.3 µH at 200 W/m2 (b) 21.3 µH 200 W/m2 (c) 111 µH at 200 W/m2 (c) Variable Inductor of 111uH at 200 W/m2 Fig. 10 Experimental Results of Inductor Current under Different Conditions Fig. 9 Simulation Results of Inductor Current under Different Conditions 951 The effective inductance of the variable inductor was measured and the results are shown in Fig. 8. Fig. 9(a) shows the inductor current for 21.3 µH, at 800 W/m2 (point a in Fig. 5) and the current is continuous. Fig. 9(b) shows the inductor current for 21.3 µH, at 200 W/m2 (point b in Fig. 5) and as expected the converter is operating in discontinuous mode. Repeating the simulation for a 111 µH, at 200 W/m2 (point c in Fig. 5) in Fig. 9(c) shows that continuous conduction has been restored. Finally, the inductor current for 111µH at 800 W/m2 is shown in Fig. 9(a) with a smaller ripple as expected. The above simulation results are validated by the experiments which are shown in Fig. 10. Fig. 10(a) and Fig. 10(b) use a fixed inductor to illustrate the effect of CCM at 800 W/m2 and DCM at 200W/m2 respectively. In Fig. 10(c), the variable inductor was used and the onset of DCM is shown as expected at 200 W/m2. The same variable inductor was used at 800W/m2 and the converter was observed to operate in CCM, however it was not at the boundary of DCM because the inductance value was approximately 45 µH (see Fig. 8) and this is higher than the critical value of 21µH given in Table I. IV. CONCLUSION This paper presents a new topology of an MPPT controller for solar power applications that incorporated a variable inductance versus current characteristic. The converter achieves CCM over a wide range of solar insolation. The new inductor occupies a smaller volume than the traditional fixed-gap inductor used in this converter. MPPT is achieved down to lower levels of solar insolation. The solar module output characteristics are represented by an equivalent circuit model in Fig. 2 with the following equations, the parameter values given are for the Sanyo HIP 210 W module: The output current is given by: I = I ph − I sat⋅(e − 1) (A1) scref Gref isc cell e −1 The author would like to thank for the financial support of China Scholarship Council (CSC), File No. 2009102634. REFERENCES [1] [2] [8] [9] 952 (A3) ACKNOWLEDGMENT [7] Iscref Short circuit current at standard conditions (5.61A) ph qV nKTcell N s The open circuit voltage, Voc, is given as: (A4) VOC = Vocref + α VOC (Tcell − Tref ) Vocref Open circuit voltage at standard operating conditions (51.6V)). αvoc Open circuit voltage temperature coefficient (80mV/˚C). [6] ref I I sat = [4] [5] q Charge on an electron (q = 1.6022 x 10-19 C) K Boltzmann constant (K=1.38*10-23 m².kg.s-2 °K) n Ideality factor (n=1.5) I Output current (calculated in (A1)) Iph Photo-generated current (calculated in (A2)) Isat Saturation current (calculated in (A3)) V Output Voltage Ns Number of cells in series (82) Rs Series resistance (0.004 Ω) Tcell Solar Panel temperature (°K) The photo generated current Iph is given by: G (A2) I =I ⋅ [1 + α (T − T )] ph α [3] APPENDIX qV nKTcell N s G Solar irradiance Gref Reference solar irradiance at standard conditions (1000W/m²) isc Short circuit current temperature coefficient (1.67mA/˚C) Tref Reference temperature at standard conditions (298˚K) The saturation current, Isat, is given by: Hiren Patel and Vivek Agarwal, “Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions”, IEEE Trans. on Industrial Electronics, Vol. 55, No.4, pp.1689-1698. April, 2008. 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