Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids

Nurettin Çetinkaya

doi:10.5152/tepes.2023.23022

Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids

Abstract

In today’s world, new solutions are constantly needed to meet the ever-increasing energy demand. One of the methods of meeting energy needs is to support renewable energy. In order to support renewable energy, globally accepted feed-in tariff (FiT) applications are used effectively. Feed-in tariff support policies differs from country to country. With the continued development of smart grid infrastructures, it has become necessary to reorganize renewable energy sup- port policies. The determined conditions of the FiT application completely affect the renewable energy investments and productions in that region. Turkey has a number of economic and geographical advantages, the majority of which are renewable energy resources. Over the last decade, Turkey has made significant progress in renewable energy development and manufacture. The relevant legislation to renewable energy has been improved. Many studies have been con- ducted on the use of smart grids to increase energy efficiency and to obtain electrical power systems that provide different opportunities to users. In this study, a new variable FiT algorithm has been developed. The aim of this new variable support mechanism is to provide more benefits for both the investor and the electric power system of renewable energy investments. The results obtained with the proposed algorithm are explained. With this algorithm, the importance of more accurate planning and investment has been tried to be revealed.

Keywords

Thanks

The author acknowledges the Konya Organized Industrial Zone Directorate for providing data and technical support.

References

1. K. Dawood, “Hybrid wind-solar reliable solution for Turkey to meet elec- tric demand,” Balkan J. Electr. Comput. Eng., vol. 4, no. 2, pp. 62–66, 2016.
2. E. F. Camacho et al., Control for Renewable Energy and Smart Grids. The Impact Publications of Control Technology Control Systems Society, 2011, pp. 69–88.
3. M. S. Hossain, N. A. Madlool, N. A. Rahim, J. Selvaraj, A. K. Pandey, and A. F. Khan, “Role of smart grid in renewable energy: An overview,” Renew. Sustain. Energy Rev., vol. 60, pp. 1168–1184, 2016.
4. D.-X. Yang, Y.-Q. Jing, C. Wang, P.-Y. Nie, and P. Sun, “Analysis of renewable energy subsidy in China under uncertainty: Feed-in tariff vs. renewable portfolio standard,” Energy Strategy Rev., vol. 34, pp. 1–11, 2021.
5. D. Azhgaliyeva, and R. Mishra, “Feed-in tariffs for financing renewable energy in Southeast Asia,” WIREs Energy Environ., vol. 11, no. 3, pp. 1–12, 2022.
6. I. Sotnyk, T. Kurbatova, O. Kubatko, Y. Baranchenko, and R. Li, “The price for sustainable development of renewable energy sector: the case of Ukraine,” EasyChair Preprint, Vol. 5509, 2021, pp. 1–8.
7. D. Wen, W. Gao, S. Kuroki, Q. Gu, and J. Ren, “The effects of the new Feed-In Tariff Act for solar photovoltaic (PV) energy in the wake of the Fukushima accident in Japan,” Energy Policy, vol. 156, pp. 1–13, 2021.
8. D. Poponi, R. Basosi, and L. Kurdgelashvili, “Subsidisation cost analysis of renewable energy deployment: A case study on the Italian feed-in tariff programme for photovoltaics,” Energy Policy, vol. 154, pp. 1–14, 2021.

9. A. H. Zhang, S. M. Sirin, C. Fan, and M. Bu, “An analysis of the factors driving utility-scale solar PV investments in China: How effective was the feed-in tariff policy?,” Energy Policy, vol. 167, pp. 1–9, 2022.
10. S. Sewchurran, and I. E. Davidson, “Technical and financial analysis of large-scale solar-PV in eThekwini Municipality: Residential, business and bulk customers,” Energy Rep., vol. 7, pp. 4961–4976, 2021.
11. H. M. Liou, “Comparing feed-in tariff incentives in Taiwan and Germany,” Renew. Sustain. Energy Rev., vol. 50, pp. 1021–1034, 2015.
12. P. Sun, and P. Nie, “A comparative study of feed-in tariff and renewable portfolio standard policy in renewable energy industry,” Renew. Energy, vol. 74, pp. 255–262, 2015.
13. E. Camadan, “An assessment on the current status and future of wind energy in Turkish electricity industry,” Renew. Sustain. Energy Rev., vol. 15, no. 9, pp. 4994–5002, 2011.
14. M. S. Sirin, and A. Ege, “Overcoming problems in Turkey’s renewable energy policy: How can EU contribute?,” ReNew Sustain. Energy Rev. Elsevier, vol. 16, no. 7, pp. 4917–4926, 2012.
15. S. Kucukali, and K. Baris, “Renewable energy policy in Turkey,”, Linköping Electronic Conference Proceedings. Sweden: World Renewable Energy Congress, pp. 2454–2461, 2011.
16. P. Revekamp, M. Schöpf, F. Wagon, M. Weibelzahl, and G. Fridgen, “‘Renewable electricity business models in a post feed-in tariff era,” Energy, vol. 216, p. 119228, 2021.
17. L. Haelg, T. S. Schmidt, and S. Sewerin, “The design of the Swiss feed-in tariff,”, In Swiss Energy Governance, P. Hettich, and A. Kachi, eds. Cham: Springer, 2022, pp. 93–113.
18. G. Zhao, P. Zhou, and W. Wen, “Feed-in tariffs, knowledge stocks and renewable energy technology innovation: The role of local government intervention,” Energy Policy, vol. 156, p. 112453, 2021.
19. R. Ma, H. Cai, Q. Ji, and P. Zhai, “The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry,” Energy Policy, vol. 151, pp. 1–12, 2021.
20. L. Niyomtham, J. Waewsak, C. Kongruang, S. Chiwamongkhonkarn, C. Chancham, and Y. Gagnon, “Wind power generation and appropriate feed-in-tariff under limited wind resource in central Thailand,” Energy Rep., vol. 8, pp. 6220–6233, 2022.
21. S. O. Topkaya, “A discussion on recent developments in Turkey’s emerging solar power market,” Renew. Sustain. Energy Rev., vol. 16, no. 6, pp. 3754–3765, 2012.
22. P. del Río, “The dynamic efficiency of feed-in tariffs: The impact of different design elements,” Energy Policy, vol. 41, pp. 139–151, 2012.
23. “Official,”, 08 January 2011 and numbered 27809, Gazette Dated. Avail- able: https://www.resmigazete.gov.tr/eskiler/2011/01/20110108-3.htm
24. “Official,”, 11 August 2022 and numbered 31920, Gazette Dated. Available: https://www.resmigazete.gov.tr/eskiler/2022/08/20220811-3.pdf
25. A. Keyhani, Design of Smart Power Grid Renewable Energy Systems. Singapore: IEEE Publications, Wiley Publication, 2011.
26. W. L. Zhang, Z. Z. Liu, M. J. Wang, and X. S. Yang, “Research status and development trend of smart grid,” Power Syst. Technol., vol. 33, pp. 1–11, 2009.
27. A. Tricore, “Uncertainty, vision, and the vitality of the emerging smart grid,” Energy Res. Soc. Sci., vol. 9, pp. 21–34, 2015.
28. J. Shen, and C. Luo, “Overall review of renewable energy subsidy policies in China- Contradictions of intentions and effects,” Renew. Sustain. Energy Rev., vol. 41, pp. 1478–1488, 2015.
29. Y. He, Y. Xu, Y. Pang, H. Tian, and R. Wu, “A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary Path.,” Renew. Energy, vol. 89, pp. 695–705, 2016.
30. D. Xenias, C. J. Axon, L. Whitmarsh, P. M. Connor, N. Balta-Ozkan, and A. Spence, “UK smart grid development: An expert assessment of the benefits, pitfalls and functions,” Renew. Energy, vol. 81, pp. 89–102, 2015.
31. S. Atis, N. Onat, and K. R. I. Guney, “Assessment of the Turkey’s electrical power policies in terms of sustainability,” Therm. Sci., vol. 18, no. 3, pp. 695–707, 2014.
32. J. Leiva, A. Palacios, and J. A. Aguado, “Smart metering trends, implications and necessities: A policy review,” Renew. Sustain. Energy Rev., vol. 55, pp. 227–233, 2016.
33. F. Oğuz, K. A. Akkemik, and K. Göksal, “Can law impose competition? A critical discussion and evidence from the Turkish electricity generation market,” Renew. Sustain. Energy Rev., vol. 30, pp. 381–387, 2014.

Details

Primary Language

English

Subjects

Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics)

Journal Section

Research Article

Authors

Nurettin Çetinkaya ^*
0000-0002-6111-7769
Türkiye

Publication Date

October 31, 2023

Submission Date

September 12, 2023

Acceptance Date

September 18, 2023

Published in Issue

Year 2023 Volume: 3 Number: 3

DOI

https://doi.org/10.5152/tepes.2023.23022

IZ

https://izlik.org/JA62HD29ZH

Cite

RIS / Bibtex

APA

Çetinkaya, N. (2023). Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids. Turkish Journal of Electrical Power and Energy Systems, 3(3), 140-145. https://doi.org/10.5152/tepes.2023.23022

AMA

1.Çetinkaya N. Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids. TEPES. 2023;3(3):140-145. doi:10.5152/tepes.2023.23022

Chicago

Çetinkaya, Nurettin. 2023. “Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids”. Turkish Journal of Electrical Power and Energy Systems 3 (3): 140-45. https://doi.org/10.5152/tepes.2023.23022.

EndNote

Çetinkaya N (October 1, 2023) Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids. Turkish Journal of Electrical Power and Energy Systems 3 3 140–145.

IEEE

[1]N. Çetinkaya, “Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids”, TEPES, vol. 3, no. 3, pp. 140–145, Oct. 2023, doi: 10.5152/tepes.2023.23022.

ISNAD

Çetinkaya, Nurettin. “Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids”. Turkish Journal of Electrical Power and Energy Systems 3/3 (October 1, 2023): 140-145. https://doi.org/10.5152/tepes.2023.23022.

JAMA

1.Çetinkaya N. Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids. TEPES. 2023;3:140–145.

MLA

Çetinkaya, Nurettin. “Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids”. Turkish Journal of Electrical Power and Energy Systems, vol. 3, no. 3, Oct. 2023, pp. 140-5, doi:10.5152/tepes.2023.23022.

Vancouver

1.Nurettin Çetinkaya. Variable Feed-In Tariff Algorithm for Renewable Energy in Smart Grids. TEPES. 2023 Oct. 1;3(3):140-5. doi:10.5152/tepes.2023.23022