IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v170y2019icp668-682.html
   My bibliography  Save this article

Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies

Author

Listed:
  • Talaat, M.
  • Farahat, M.A.
  • Elkholy, M.H.

Abstract

Energy systems are one of the most important infrastructures of the modern society. To realize a sustainable, reliable and affordable energy supply, a new energy revolution is now ongoing globally. In this energy revolution, energy systems integration is considered to be one of the biggest challenges and also opportunities. The main reason for this challenge is the difference between energy sources in terms of the types, environmental conditions and the changing factors of renewable energy production. In this paper, a dynamic modeling and control of PV/Wind/Wave energy hybrid system have been presented. The wave energy, photovoltaic and wind energy conversion systems have been integrated into the main DC bus-bar in order to increase the renewable energy system effectiveness. The wave energy and PV system have been equipped with DC-DC converter and the wind energy conversion system has been equipped with AC-DC converter. Then the whole hybrid system is connected to the buck boost converter and microcontroller system for obtaining constant DC bus-bar voltage. Finally, the output voltage of the hybrid system is connected to the required load or batteries. Experimental test-bed is established for these three different types of renewable energies to study how to integrate them and unify their energy production. Wave energy has been investigated by including a clear challenge to the variation of the output of this energy due to the changes in the strength, direction and height of the waves. The challenge has been raised about how to transfer this energy to the electrical energy. Wind and solar energy are also being studied considering different environmental conditions such as changes of solar irradiation and wind speed. So, the integration of the wind and solar energy with wave energy represents a huge challenge. The analysis and simulation modeling of the hybrid energy system are implemented using MATLAB/Simulink environment. The concept of Buck-boost circuit is presented and investigated in the design of the integrated circuit. The effectiveness of the simulated model is found to be practical, and the model is proven to be used in the integration of the three proposed energies.

Suggested Citation

  • Talaat, M. & Farahat, M.A. & Elkholy, M.H., 2019. "Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies," Energy, Elsevier, vol. 170(C), pages 668-682.
  • Handle: RePEc:eee:energy:v:170:y:2019:i:c:p:668-682
    DOI: 10.1016/j.energy.2018.12.171
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218325453
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2018.12.171?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Talaat, M. & Farahat, M.A. & Osman, M., 2016. "Assessment of earthing system location for wind turbines using finite element method," Renewable Energy, Elsevier, vol. 93(C), pages 412-423.
    2. Baranes, Edmond & Jacqmin, Julien & Poudou, Jean-Christophe, 2017. "Non-renewable and intermittent renewable energy sources: Friends and foes?," Energy Policy, Elsevier, vol. 111(C), pages 58-67.
    3. Kaboli, S. Hr. Aghay & Fallahpour, A. & Selvaraj, J. & Rahim, N.A., 2017. "Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming," Energy, Elsevier, vol. 126(C), pages 144-164.
    4. Zhou, Sheng & Wang, Yu & Zhou, Yuyu & Clarke, Leon E. & Edmonds, James A., 2018. "Roles of wind and solar energy in China’s power sector: Implications of intermittency constraints," Applied Energy, Elsevier, vol. 213(C), pages 22-30.
    5. Petrakopoulou, Fontina & Sanz-Bermejo, Javier & Dufour, Javier & Romero, Manuel, 2016. "Exergetic analysis of hybrid power plants with biomass and photovoltaics coupled with a solid-oxide electrolysis system," Energy, Elsevier, vol. 94(C), pages 304-315.
    6. Wu, Jinming & Yao, Yingxue & Zhou, Liang & Göteman, Malin, 2018. "Real-time latching control strategies for the solo Duck wave energy converter in irregular waves," Applied Energy, Elsevier, vol. 222(C), pages 717-728.
    7. Yang, Zhongshan & Wang, Jian, 2018. "A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm," Applied Energy, Elsevier, vol. 230(C), pages 1108-1125.
    8. Chaudhary, Priyanka & Rizwan, M., 2018. "Energy management supporting high penetration of solar photovoltaic generation for smart grid using solar forecasts and pumped hydro storage system," Renewable Energy, Elsevier, vol. 118(C), pages 928-946.
    9. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    10. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
    11. Shabani, Masoume & Mahmoudimehr, Javad, 2018. "Techno-economic role of PV tracking technology in a hybrid PV-hydroelectric standalone power system," Applied Energy, Elsevier, vol. 212(C), pages 84-108.
    12. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    13. Kosmopoulos, P.G. & Kazadzis, S. & Lagouvardos, K. & Kotroni, V. & Bais, A., 2015. "Solar energy prediction and verification using operational model forecasts and ground-based solar measurements," Energy, Elsevier, vol. 93(P2), pages 1918-1930.
    14. Appino, Riccardo Remo & González Ordiano, Jorge Ángel & Mikut, Ralf & Faulwasser, Timm & Hagenmeyer, Veit, 2018. "On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages," Applied Energy, Elsevier, vol. 210(C), pages 1207-1218.
    15. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    16. Kaboli, S. Hr. Aghay & Selvaraj, J. & Rahim, N.A., 2016. "Long-term electric energy consumption forecasting via artificial cooperative search algorithm," Energy, Elsevier, vol. 115(P1), pages 857-871.
    17. Guangqian, Du & Bekhrad, Kaveh & Azarikhah, Pouria & Maleki, Akbar, 2018. "A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems," Renewable Energy, Elsevier, vol. 122(C), pages 551-560.
    18. Bayón, L. & Grau, J.M. & Ruiz, M.M. & Suárez, P.M., 2016. "A comparative economic study of two configurations of hydro-wind power plants," Energy, Elsevier, vol. 112(C), pages 8-16.
    19. Bruck, Maira & Sandborn, Peter & Goudarzi, Navid, 2018. "A Levelized Cost of Energy (LCOE) model for wind farms that include Power Purchase Agreements (PPAs)," Renewable Energy, Elsevier, vol. 122(C), pages 131-139.
    20. González, Arnau & Riba, Jordi-Roger & Rius, Antoni & Puig, Rita, 2015. "Optimal sizing of a hybrid grid-connected photovoltaic and wind power system," Applied Energy, Elsevier, vol. 154(C), pages 752-762.
    21. Bhandari, Binayak & Lee, Kyung-Tae & Lee, Caroline Sunyong & Song, Chul-Ki & Maskey, Ramesh K. & Ahn, Sung-Hoon, 2014. "A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources," Applied Energy, Elsevier, vol. 133(C), pages 236-242.
    22. Kim, Deockho & Hur, Jin, 2018. "Short-term probabilistic forecasting of wind energy resources using the enhanced ensemble method," Energy, Elsevier, vol. 157(C), pages 211-226.
    23. Fan, YaJun & Mu, AnLe & Ma, Tao, 2016. "Modeling and control of a hybrid wind-tidal turbine with hydraulic accumulator," Energy, Elsevier, vol. 112(C), pages 188-199.
    24. Islam, Md Shahinur & Akhter, Ruma & Rahman, Mohammad Ashifur, 2018. "A thorough investigation on hybrid application of biomass gasifier and PV resources to meet energy needs for a northern rural off-grid region of Bangladesh: A potential solution to replicate in rural ," Energy, Elsevier, vol. 145(C), pages 338-355.
    25. Ghaith, Ahmad F. & Epplin, Francis M. & Frazier, R. Scott, 2017. "Economics of household wind turbine grid-tied systems for five wind resource levels and alternative grid pricing rates," Renewable Energy, Elsevier, vol. 109(C), pages 155-167.
    26. Ren, Hongbo & Wu, Qiong & Gao, Weijun & Zhou, Weisheng, 2016. "Optimal operation of a grid-connected hybrid PV/fuel cell/battery energy system for residential applications," Energy, Elsevier, vol. 113(C), pages 702-712.
    27. Ahadi, Amir & Kang, Sang-Kyun & Lee, Jang-Ho, 2016. "A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities," Applied Energy, Elsevier, vol. 170(C), pages 101-115.
    28. Ahmad, Jameel & Imran, Muhammad & Khalid, Abdullah & Iqbal, Waseem & Ashraf, Syed Rehan & Adnan, Muhammad & Ali, Syed Farooq & Khokhar, Khawar Siddique, 2018. "Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar," Energy, Elsevier, vol. 148(C), pages 208-234.
    29. Lorestani, A. & Ardehali, M.M., 2018. "Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm," Renewable Energy, Elsevier, vol. 119(C), pages 490-503.
    30. Yang, Zhongshan & Wang, Jian, 2018. "A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm," Energy, Elsevier, vol. 160(C), pages 87-100.
    31. Arnau González & Jordi-Roger Riba & Antoni Rius, 2015. "Optimal Sizing of a Hybrid Grid-Connected Photovoltaic–Wind–Biomass Power System," Sustainability, MDPI, vol. 7(9), pages 1-20, September.
    32. Lorestani, A. & Ardehali, M.M., 2018. "Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm," Energy, Elsevier, vol. 145(C), pages 839-855.
    33. Solomon, A.A. & Kammen, Daniel M. & Callaway, D., 2016. "Investigating the impact of wind–solar complementarities on energy storage requirement and the corresponding supply reliability criteria," Applied Energy, Elsevier, vol. 168(C), pages 130-145.
    34. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Optimal design of an autonomous solar–wind-pumped storage power supply system," Applied Energy, Elsevier, vol. 160(C), pages 728-736.
    35. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adefarati, T. & Bansal, R.C., 2017. "Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources," Applied Energy, Elsevier, vol. 206(C), pages 911-933.
    2. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Amin, Muhammad Yasir, 2020. "Solar and wind power generation systems with pumped hydro storage: Review and future perspectives," Renewable Energy, Elsevier, vol. 148(C), pages 176-192.
    3. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    4. Hu, Yusha & Li, Jigeng & Hong, Mengna & Ren, Jingzheng & Lin, Ruojue & Liu, Yue & Liu, Mengru & Man, Yi, 2019. "Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process," Energy, Elsevier, vol. 170(C), pages 1215-1227.
    5. Nguyen, Hai Tra & Safder, Usman & Nhu Nguyen, X.Q. & Yoo, ChangKyoo, 2020. "Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant," Energy, Elsevier, vol. 191(C).
    6. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
    7. Mahfoud, Rabea Jamil & Alkayem, Nizar Faisal & Zhang, Yuquan & Zheng, Yuan & Sun, Yonghui & Alhelou, Hassan Haes, 2023. "Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    8. Adefarati, T. & Bansal, R.C. & Bettayeb, M. & Naidoo, R., 2022. "Technical, economic, and environmental assessment of the distribution power system with the application of renewable energy technologies," Renewable Energy, Elsevier, vol. 199(C), pages 278-297.
    9. Javed, Muhammad Shahzad & Song, Aotian & Ma, Tao, 2019. "Techno-economic assessment of a stand-alone hybrid solar-wind-battery system for a remote island using genetic algorithm," Energy, Elsevier, vol. 176(C), pages 704-717.
    10. Sadeghi, Delnia & Hesami Naghshbandy, Ali & Bahramara, Salah, 2020. "Optimal sizing of hybrid renewable energy systems in presence of electric vehicles using multi-objective particle swarm optimization," Energy, Elsevier, vol. 209(C).
    11. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    12. Mohseni, Soheil & Brent, Alan C. & Burmester, Daniel, 2020. "A comparison of metaheuristics for the optimal capacity planning of an isolated, battery-less, hydrogen-based micro-grid," Applied Energy, Elsevier, vol. 259(C).
    13. Nallapaneni Manoj Kumar & Shauhrat S. Chopra & Aneesh A. Chand & Rajvikram Madurai Elavarasan & G.M. Shafiullah, 2020. "Hybrid Renewable Energy Microgrid for a Residential Community: A Techno-Economic and Environmental Perspective in the Context of the SDG7," Sustainability, MDPI, vol. 12(10), pages 1-30, May.
    14. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    15. Fahd A. Alturki & Emad Mahrous Awwad, 2021. "Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems," Energies, MDPI, vol. 14(2), pages 1-20, January.
    16. Akbar Maleki & Marc A. Rosen & Fathollah Pourfayaz, 2017. "Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications," Sustainability, MDPI, vol. 9(8), pages 1-20, July.
    17. da Silva, Ramon Gomes & Ribeiro, Matheus Henrique Dal Molin & Moreno, Sinvaldo Rodrigues & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2021. "A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting," Energy, Elsevier, vol. 216(C).
    18. Gonzalez, Arnau & Riba, Jordi-Roger & Esteban, Bernat & Rius, Antoni, 2018. "Environmental and cost optimal design of a biomass–Wind–PV electricity generation system," Renewable Energy, Elsevier, vol. 126(C), pages 420-430.
    19. Lu, Hongfang & Ma, Xin & Huang, Kun & Azimi, Mohammadamin, 2020. "Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    20. Rahmat Khezri & Amin Mahmoudi & Hirohisa Aki & S. M. Muyeen, 2021. "Optimal Planning of Remote Area Electricity Supply Systems: Comprehensive Review, Recent Developments and Future Scopes," Energies, MDPI, vol. 14(18), pages 1-29, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:170:y:2019:i:c:p:668-682. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.