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A MICRO HYBRID WIND-PV BASED ON GRID ENERGY SYSTEM WITH ENHANCED EFFICIENCY

Year 2017, Volume: 7 Issue: 2, 109 - 118, 30.11.2017

Mehmet Ali Özçelik

Abstract

Wind and solar energy hold an important position in renewable energy
sources. In wind energy conversion, the output power can change depending on
the speed and intensity of the wind while in solar energy conversion it can
change depending on the solar radiation and temperature. The energy conversion
that combines these two energy types is called hybrid system. The energy produced by the wind and PV, hybrid power
systems shows variance depending on the speed and intensity of wind and
irradiation and temperature of PV panels in some cases the wind power and the
PV power may not be at the expected level for the on grid micro inverter. This
study aims to increase energy sustainability on grid based the hybrid power systems.
The hybrid power system’s output voltage is constantly measured with a voltage
sensor. The input voltage range of the micro-inverter has been tried to be kept
at a value that can give energy to the grid. In order to achieve this, the
energy continuity is increased by providing battery support at voltages close
to the minimum power value that will enable micro-inverter conduction. 

Keywords

PV energy conversion Wind energy conversion Hybrid system on grid micro inverter Smart system

References

  • [1] Moradpour, R., Ardi, H., Tavakoli, A., Design and Implementation of a New SEPIC-Based High Step-Up DC/DC Converter for Renewable Energy Applications, IEEE Transactions on Industrial Electronics, 65(2018), 2, 1290-1297.
  • [2] Afonso, T.L., Marques, A.C., Fuinhas, J.A., Strategies to make renewable energy sources compatible with economic growth, Energy Strategy Reviews, 18(2017), 121-126.
  • [3] Olabi, A.G., Renewable energy and energy storage systems, Energy, 136(2017), 1-7.
  • [4] Gosens, J., Natural resource endowment is not a strong driver of wind or PV development, Renewable Energy, 113(2017), 1007-1018.
  • [5] Gosens, J., Hedenus, F., Sanden, B.A., Faster market growth of wind and PV in late adopters due to global experience build-up, Energy, 131(2017), 267-278.
  • [6] El-Askary, W.A., Nasef, M.H., AbdEL-hamid, A.A., Gad, H.E., Harvesting wind energy for improving performance of savonius rotor, Journal of Wind Engineering and Industrial Aerodynamics, 139(2015), 8-15.
  • [7] Suganthi, S.T., Devaraj, D., Ramar, K., Thilagar, S.H., An Improved Differential Evolution algorithm for congestion management in the presence of wind turbine generators, Renewable and Sustainable Energy Reviews, 81(2018), 635-642.
  • [8] Maleki, A. (2017), Design and optimization of automous solar-wind-reverse osmosis desalination systems coupling battery and hydrogen energy storage by an improved bee algorithm, Desalination, (2017),In press, http://dx.doi.org/10.1016/j.desal.2017.05.034, 1-14.
  • [9] Zhang, J., Fang, Z., Shu, C., Zhang, J., Li, C., A rotational piezoelectric energy harvester for efficient wind energy harvesting, Sensors and Actuators A: Physical, 262(2017), 123-129.
  • [10] Petkovic, D., Pavlovic, N.T., Cojbasic, Z., Wind farm efficiency by adaptive neuro-fuzzy strategy, International Journal of Electrical Power& Energy Systems, 81(2016), 215-221.
  • [11] Dileep, G., Singh, S.N., Maximum power point tracking of solar photovoltaic system using modified perturbation and observation method, Renewable and Sustainable Energy Reviews, 50(2015), 109-129.
  • [12] Louzazni, M., Aroudam, E., Intelligent Control of Photovoltaic Grid-connected Using Fuzzy Logic Based Incremental Conductance, Procedia Technology, 19(2015), 615-622.
  • [13] Boukezata, B., Gaubert, J.P., Predictive current control in multifunctional grid connected inverter interfaced by PV system, Solar Energy, 139(2016), 130-141.
  • [14] Gad, H.H., Haikal, A.Y., Hesham, A.A., New design of the PV panel control system using FPGA-based MPSoC, Solar Energy, 146(2017), 243-256.
  • [15] Farhat, M., Barambones, O., Sbita, L., Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller, Renewable and Sustainable Energy Reviews, 49(2015), 907-920.
  • [16] Deihimi, A., Zahed, B.K., Iravani, R., An interactive operation management of a micro-grid with multiple distributed generations using multi-objective uniform water cycle algorithm, Energy, 106(2016), 482-509. [17] Çelik, Ö., Teke, A., Tan, A., Overview of micro-inverters as a challenging technology in photovoltaic applications, Renewable and Sustainable Energy Reviews,(2017), In press, http://dx.doi.org/10.1016/j.rser.2017.10.024.
  • [18] Bennett, T., Zilouchian A., Messenger R. 2012. Photovoltaic Model and Converter Topology Considerations for MPPT Purposes, Solar Energy, Vol.86, pp. 2029-2040.
  • [19] Vennel, R., Exceeding the Betz limit with tidal turbines, Renewable Energy, 55(2013), 277-285.

Year 2017, Volume: 7 Issue: 2, 109 - 118, 30.11.2017

Mehmet Ali Özçelik

Abstract

References

  • [1] Moradpour, R., Ardi, H., Tavakoli, A., Design and Implementation of a New SEPIC-Based High Step-Up DC/DC Converter for Renewable Energy Applications, IEEE Transactions on Industrial Electronics, 65(2018), 2, 1290-1297.
  • [2] Afonso, T.L., Marques, A.C., Fuinhas, J.A., Strategies to make renewable energy sources compatible with economic growth, Energy Strategy Reviews, 18(2017), 121-126.
  • [3] Olabi, A.G., Renewable energy and energy storage systems, Energy, 136(2017), 1-7.
  • [4] Gosens, J., Natural resource endowment is not a strong driver of wind or PV development, Renewable Energy, 113(2017), 1007-1018.
  • [5] Gosens, J., Hedenus, F., Sanden, B.A., Faster market growth of wind and PV in late adopters due to global experience build-up, Energy, 131(2017), 267-278.
  • [6] El-Askary, W.A., Nasef, M.H., AbdEL-hamid, A.A., Gad, H.E., Harvesting wind energy for improving performance of savonius rotor, Journal of Wind Engineering and Industrial Aerodynamics, 139(2015), 8-15.
  • [7] Suganthi, S.T., Devaraj, D., Ramar, K., Thilagar, S.H., An Improved Differential Evolution algorithm for congestion management in the presence of wind turbine generators, Renewable and Sustainable Energy Reviews, 81(2018), 635-642.
  • [8] Maleki, A. (2017), Design and optimization of automous solar-wind-reverse osmosis desalination systems coupling battery and hydrogen energy storage by an improved bee algorithm, Desalination, (2017),In press, http://dx.doi.org/10.1016/j.desal.2017.05.034, 1-14.
  • [9] Zhang, J., Fang, Z., Shu, C., Zhang, J., Li, C., A rotational piezoelectric energy harvester for efficient wind energy harvesting, Sensors and Actuators A: Physical, 262(2017), 123-129.
  • [10] Petkovic, D., Pavlovic, N.T., Cojbasic, Z., Wind farm efficiency by adaptive neuro-fuzzy strategy, International Journal of Electrical Power& Energy Systems, 81(2016), 215-221.
  • [11] Dileep, G., Singh, S.N., Maximum power point tracking of solar photovoltaic system using modified perturbation and observation method, Renewable and Sustainable Energy Reviews, 50(2015), 109-129.
  • [12] Louzazni, M., Aroudam, E., Intelligent Control of Photovoltaic Grid-connected Using Fuzzy Logic Based Incremental Conductance, Procedia Technology, 19(2015), 615-622.
  • [13] Boukezata, B., Gaubert, J.P., Predictive current control in multifunctional grid connected inverter interfaced by PV system, Solar Energy, 139(2016), 130-141.
  • [14] Gad, H.H., Haikal, A.Y., Hesham, A.A., New design of the PV panel control system using FPGA-based MPSoC, Solar Energy, 146(2017), 243-256.
  • [15] Farhat, M., Barambones, O., Sbita, L., Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller, Renewable and Sustainable Energy Reviews, 49(2015), 907-920.
  • [16] Deihimi, A., Zahed, B.K., Iravani, R., An interactive operation management of a micro-grid with multiple distributed generations using multi-objective uniform water cycle algorithm, Energy, 106(2016), 482-509. [17] Çelik, Ö., Teke, A., Tan, A., Overview of micro-inverters as a challenging technology in photovoltaic applications, Renewable and Sustainable Energy Reviews,(2017), In press, http://dx.doi.org/10.1016/j.rser.2017.10.024.
  • [18] Bennett, T., Zilouchian A., Messenger R. 2012. Photovoltaic Model and Converter Topology Considerations for MPPT Purposes, Solar Energy, Vol.86, pp. 2029-2040.
  • [19] Vennel, R., Exceeding the Betz limit with tidal turbines, Renewable Energy, 55(2013), 277-285.
There are 18 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Article
Authors

Mehmet Ali Özçelik

Publication Date November 30, 2017
Published in Issue Year 2017 Volume: 7 Issue: 2

Cite

APA Özçelik, M. A. (2017). A MICRO HYBRID WIND-PV BASED ON GRID ENERGY SYSTEM WITH ENHANCED EFFICIENCY. European Journal of Technique (EJT), 7(2), 109-118.
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