 Open Access
 Total Downloads : 1827
 Authors : Divya Teja Reddy Challa , Raghavender Inguva
 Paper ID : IJERTV1IS9084
 Volume & Issue : Volume 01, Issue 09 (November 2012)
 Published (First Online): 29112012
 ISSN (Online) : 22780181
 Publisher Name : IJERT
 License: This work is licensed under a Creative Commons Attribution 4.0 International License
An Inverter Fed with Combined WindSolar Energy System using CUKSEPIC Converter
ISSN: 22780181
An Inverter Fed With Combined WindSolar Energy SystemVUol. s1 Iisnsuge 9, November 2012
.
CUKSEPIC Converter
Divya Teja Reddy Challa1, Raghavender Inguva2
*(PG Scholar,Department of EEE, Teegala Krishna Reddy Engineering college, JNTU Hyd, AP, INDIA)
** (Associate Professor,Department of EEE, Teegala Krishna Reddy engineering college, JNTUHyd, AP, INDIA)
AbstractEnvironmentally friendly solutions are becoming more prominent than ever as a result of concern regarding the state of our deteriorating planet. This paper presents an inverter fed with combination of two energy systems (wind, solar) using CUKSEPIC converter. This configuration allows the two sources to supply the inverter separately or simultaneously depending on the availability of the energy sources. The inherent nature of this CUKSEPIC fused converter, additional input filters are not necessary to filter out high frequency harmonics. Harmonic content is detrimental for the generator lifespan, heating issues, and efficiency. The fused multiinput rectifier stage also allows Maximum Power Point Tracking (MPPT) to be used to extract maximum power from the wind and sun when it is available. An adaptive MPPT algorithm will be used for the wind system and a standard perturb and observe method will be used for the PV system. Operational analysis of the proposed system will be discussed in this paper. Simulation results are given to highlight the merits of the proposed circuit
KeywordsMPPT maximum power tracking, Inverter, CUKSEPIC converter

With increasing concern of global warming and the depletion of fossil fuel reserves, many are looking at sustainable energy solutions to preserve the earth for the future generations. Other than hydro power, wind and photovoltaic energy holds the most potential to meet our energy demands. Alone, wind energy is capable of supplying large amounts of power but its presence is highly unpredictable as it can be here one moment and gone in another. Similarly, solar energy is present throughout the day but the solar irradiation levels vary due to sun intensity and unpredictable shadows cast by clouds, birds, trees, etc. The common inherent drawback of wind and photovoltaic systems are their intermittent natures that make them unreliable. However, by combining these two intermittent sources and by incorporating maximum power point tracking (MPPT) algorithms, the systems power transfer efficiency and reliability can be improved significantly.
When a source is unavailable or insufficient in meeting the load demands, the other energy source can compensate for the difference. Several hybrid wind/PV power systems with MPPT control have been proposed and discussed in works [1] – [5]. Most of the systems in literature use a separate DC/DC boost converter connected in parallel in the rectifier stage as shown in Figure 1 to perform the MPPT control for each of the renewable energy power sources [1][4]. A simpler multiinput structure has been suggested by [5] that combine the sources from the DCend while still achieving MPPT for each renewable source. The structure proposed by [5] is a fusion of the buck and buckboost converter. The systems in literature require passive input filters to remove the high frequency current harmonics injected into wind turbine generators [6]. The harmonic content in the generator current decreases its lifespan and increases the power loss due to heating [6].
In this paper, an alternative multiinput rectifier structure is proposed for hybrid wind/solar energy systems. The proposed design is a fusion of the CUK and SEPIC converters. The features of the proposed topology are: 1) the inherent nature of these two converters eliminates the need for separate input filters for PFC [7][8]; 2) it can support step up/down operations for each renewable source (can support wide ranges of PV and wind input); 3) MPPT can be realized for each source; 4) individual and simultaneous operation is supported. The circuit operating principles will be discussed in this paper. Simulation results are provided to verify with the feasibility of the proposed system

A system diagram of the proposed rectifier stage of a hybrid energy system is shown in Figure 2, where one of the inputs is connected to the output of the PV array and the other input connected to the output of a generator. The fusion of the two converters is achieved by reconfiguring the two existing diodes from each converter and the shared utilization of the CUK output inductor by the SEPIC converter. This configuration allows each converter to operate normally individually in the event that one source is unavailable. Figure 3 illustrates the case when only the wind source is available. In this case, D1 turns off and D2 turns on; the proposed circuit becomes a SEPIC converter and the input to output voltage relationship is given by (1). On the other hand, if only the PV source is available, then D2 turns off and D1 will always be on and the circuit becomes a CUK converter as shown in Figure 4. The input to output voltage relationship is given by (2). In both cases, both converters have stepup/down capability, which provide more design flexibility in the system if duty ratio control is utilized to perform MPPT control.
.
Figure 5 illustrates the various switching states of the proposed converter. If the turn on duration of M1 is longer than M2, then the switching states will be state I, II, IV. Similarly, the switching states will be state I, III, IV if the switch conduction periods are vice versa. To provide a better explanation, the inductor current waveforms of each switching state are given as follows assuming that d2 > d1; hence only states I, III, IV are discussed in this example. In the following, Ii,PV is the average input current from the PV source; Ii,W is the RMS input current after the rectifier (wind case); and Idc is the average system output current.
The key waveforms that illustrate the switching states in this example are shown in Figure 6. The mathematical expression that relates the total output voltage and the two input sources will be illustrated in the next section.

To find an expression for the output DC bus voltage, Vdc, the voltbalance of the output inductor, L2, is examined according to Figure 6 with d2 > d1. Since the net change in the voltage of L2 is zero, applying voltbalance to L2 results in (3). The expression that relates the average output DC voltage (Vdc) to the capacitor voltages (vc1 and vc2) is then obtained as shown in (4), where vc1 and vc2 can then be obtained by applying voltbalance to L1 and L3 [9]. The final expression that relates the average output voltage and the two input sources (VW and VPV) is then given by (5). It is observed that Vdc is simply the sum of the two output voltages of the CUK and SEPIC converter. This further implies that Vdc can be controlled by d1 and d2 individually or simultaneously.
The switches voltage and current characteristics are also provided in this section. The voltage stress is given by (6) and (7) respectively. As for the current stress, it is observed from Figure 6 that the peak current always occurs at the end of the ontime of the MOSFET. Both the Cuk and SEPIC MOSFET current consists of both the input current and the capacitors (C1 or C2) current. The peak current stress of M1 and M2 are given by (8) and (10) respectively. Leq1 and Leq2, given by (9) and (11), represent the equivalent inductance of CUK and SEPIC cnverter respectively.
The PV output current, which is also equal to the average input current of the CUK converter, is given in (12). It can be observed that the average inductor current is a function of its respective duty cycle (d1). Therefore by adjusting the respective duty cycles for each energy source, maximum power point tracking can be achieved.

A common inherent drawback of wind and PV systems is the intermittent nature of their energy sources. Wind energy is capable of supplying large amounts of power but its presence is highly unpredictable as it can be here one moment and gone in another. Solar energy is present throughout the day, but the solar irradiation levels vary due to sun intensity and unpredictable shadows cast by clouds, birds, trees, etc. These drawbacks tend to make these renewable systems inefficient. However, by incorporating maximum power point tracking (MPPT) algorithms, the systems power transfer efficiency can be improved significantly.
To describe a wind turbines power characteristic, equation (13) describes the mechanical power that is generated by the wind [6].
The power coefficient (Cp) is a nonlinear function that represents the efficiency of the wind turbine to convert wind energy into mechanical energy. It is dependent on two variables, the tip speed ratio (TSR) and the pitch angle. The TSR, , refers to a ratio of the turbine angular speed over the wind speed. The mathematical representation of the TSR is given by (14) [10]. The pitch angle, , refers to the angle in which the turbine blades are aligned with respect to its longitudinal axis.
Where,
R = turbine radius
b = angular rotational speed
Figures 7 and 8 are illustrations of a power coefficient curve and power curve for a typical fixed pitch ( =0) horizontal axis wind turbine. It can be seen from figure 7 and 8 that the power curves for each wind speed has a shape similar to that of the power coefficient curve. Because the TSR is a ratio between the turbine rotational speed and the wind speed, it follows that each wind speed would have a different corresponding optimal rotational speed that gives the optimal TSR. For each turbine there is an optimal TSR value that corresponds to a maximum value of the power coefficient (Cp,max) and therefore the maximum power. Therefore by controlling rotational speed, (by means of adjusting the electrical loading of the turbine generator) maximum power can be obtained for different wind speeds.
A solar cell is comprised of a PN junction semiconductor that produces currents via the photovoltaic effect. PV arrays are constructed by placing numerous solar cells connected in series and in parallel [5]. A PV cell is a diode of a largearea forward bias with a photo voltage and the equivalent circuit is shown by Figure 9 [11]. The currentvoltage characteristic of a solar cell is derived in [12] and
[13] as follows:Typically, the shunt resistance (Rsh) is very large and the series resistance (Rs) is very small [5]. Therefore, it is common to neglect these resistances in order to simplify the solar cell model. The resultant ideal voltagecurrent characteristic of a photovoltaic cell is given by (17) and illustrated by Figure 10. [5]
The typical output power characteristics of a PV array under various degrees of irradiation is illustrated by Figure 11. It can be observed in Figure 11 that there is a particular optimal voltage for each irradiation level that corresponds to maximum output power. Therefore by adjusting the output current (or
voltage) of the PV array, maximum power from the array can be drawn.
Due to the similarities of the shape of the wind and PV array power curves, a similar maximum power point tracking scheme known as the hill climb search (HCS) strategy is often applied to these energy sources to extract maximum power. The HCS strategy perturbs the operating point of the system and observes the output. If the direction of the perturbation (e.g. an increase or decrease in the output voltage of a PV array) results in a positive change in the output power, then the control algorithm will continue in the direction of the previous perturbation. Conversely, if a negative change in the output power is observed, then the control algorithm will reverse the direction of the pervious perturbation step. In the case that the change in power is close to zero (within a specified range) then the algorithm will invoke no changes to the system operating point since it corresponds to the maximum power point (the peak of the power curves).
The MPPT scheme employed in this paper is a version of the HCS strategy. Figure 12 is the flow chart that illustrates the implemented MPPT scheme.

Pulse width modulation (PWM) is a powerful technique for controlling analog circuits with a microprocessor's digital outputs. PWM is employed in a wide variety of applications, ranging from measurement and communications to power control and conversion.
As power levels increase the task of designing variable drives increases dramatically. While the array of linear components available with sufficient voltage and current ratings for high power drives is impressive, a project can become unmanageable when calculation of internal power dissipation reveals the extent of cooling hardware required. Often the 20A drive requires multiple 20A semiconductors mounted on massive heat sinks, usually employs noisy fans and sometimes liquid cooling is mandated.
This slide illustrates the linear approach to delivering power to the load. When maximum output is commanded, the driver reduces resistance of the pass element to a minimum. At this output level, losses in the linear circuit are relatively low. When zero output is commanded the pass element approaches infinity and losses approach zero.
The disadvantage of the linear circuit appears at the midrange output levels and is often at its worst when 50% output is delivered. At this level, resistance of the pass element is equal to the load resistance which means heat generated in the amplifier is equal to the power delivered to the load! We have just found the linear circuit to have a maximum efficiency of 50% when driving resistive loads to midrange power levels. When loads appear reactive, this efficiency drops even further.

In this section, simulation results from MATLAB are given to verify that the proposed multi input rectifier stage can support individual as well as simultaneous operation. The specifications for the design example are given in TABLE I. Figure 13 illustrates the system under the condition where the wind source has failed and only the PV source (CUK converter mode) is supplying power to the load. Figure 14 illustrates the system where only the wind turbine generates power to the load (SEPIC converter mode). Finally, Figure 17 illustrates the simultaneous operation (CUKSEPIC fusion mode) of the two sources where M2 has a longer conduction cycle.
Fig.12 PV source output (CUK Operation)
Fig.13 Switches M1 and M2 currents when only solar is connected
When the CUK operation is performed wind source is going to off and the solar source is taking place and producing supply to the load at the output of a inverter is placed in the circuit .The output of the inverter is shown in the fig .15 and the output of the wind and solar is shown in fig 12,14. Here the wind output is AC and solar output is DC. SEPIC as well as CUK operation also performed which shown in fig.17.The switches M1 and M2 current waveforms are shown in figs.13 and 16 for CUK and SEPIC operations.
Fig.14 Wind Generator Output (SEPIC Operation)
Fig.15 Output voltage and current of inverter
Fig.16 Switches M1 and M2 currents during CUK
operation
Fig.17 Simultaneous operation with Wind and PV
Source
In this paper a new multiinput CUKSEPIC rectifier stage for hybrid wind/solar energy systems has been presented. The features of this circuit are: ) additional input filters are not necessary to filter out high frequency harmonics; 2) both renewable sources can be stepped up/down (supports wide ranges of PV and wind input); 3) MPPT can be realized for each source; 4) individual and simultaneous operation is supported. Simulation results have been presented to verify. Here the sinusoidal pulse width modulation technique is used for the inverter so that it will provide a better output results for the load.

S.K. Kim, J.H Jeon, C.H. Cho, J.B. Ahn, and S.H. Kwon, Dynamic Modelling and Control of a Grid Connected Hybrid Generation System with Versatile Power Transfer, IEEE Transactions on Industrial Electronics, vol. 55, pp. 16771688, April 2008.

D. Das, R. Esmaili, L. Xu, D. Nichols, An Optimal Design of a Grid Connected Hybrid
Wind/Photovoltaic/Fuel Cell System for Distributed Energy Production, in Proc. IEEE Industrial Electronics Conference, pp. 24992504, Nov. 2005.

N. A. Ahmed, M. Miyatake, and A. K. AlOthman, Power fluctuations suppression of standalone hybrid generation combining solar photovoltaic/wind turbine and fuel cell systems, in Proc. Of Energy Conversion and Management, Vol. 49, pp. 27112719, October 2008.

S. Jain, and V. Agarwal, An Integrated Hybrid Power Supply for Distributed Generation Applications Fed by Nonconventional Energy Sources, IEEE Transactions on Energy Conversion, vol. 23, June 2008.

Y.M. Chen, Y.C. Liu, S.C. Hung, and C.S. Cheng, MultiInput Inverter for GridConnected Hybrid PV/Wind Power System, IEEE Transactions on Power Electronics, vol. 22, May 2007.

dos Reis, F.S., Tan, K. and Islam, S., Using PFC for harmonic mitigation in wind turbine energy conversion systems in Proc. of the IECON 2004 Conference, pp. 3100 3105, Nov. 2004

R. W. Erickson, Some Topologies of High Quality Rectifiers in the Proc. of the First International Conference on Energy, Power, and Motion Control, May 1997.

D. S. L. Simonetti, J. SebastiÂ´an, and J. Uceda, The Discontinuous Conduction Mode Sepic and Â´ Cuk Power Factor Preregulators: Analysis and Design IEEE Trans. On Industrial Electronics, vol. 44, no. 5, 1997

N. Mohan, T. Undeland, and W Robbins, Power Electronics: Converters, Applications, and Design, John Wiley & Sons, Inc., 2003.

J. Marques, H. Pinheiro, H. Grundling, J. Pinheiro, and H. Hey, A Survey on VariableSpeed Wind Turbine System, Proceedings of Brazilian Conference of Electronics of Power, vol. 1, pp. 732738, 2003.

F. Lassier and T. G. Ang, Photovoltaic Engineering Handbook 1990

Global Wind Energy Council (GWEC), Global wind 2008 report, June 2009.

L. Pang, H. Wang, Y. Li, J. Wang, and Z. Wang, Analysis of Photovoltaic Charging System Based on MPPT, Proceedings of PacificAsia Workshop on Computational Intelligence and Industrial Application 2008 (PACIIA 08), Dec 2008, pp. 49850