Araştırma Makalesi
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Yıl 2018, Cilt: 1 Sayı: 3, 1 - 19, 18.12.2018

Mustafa Özcan Mehmet Yıldırım

https://doi.org/10.35377/saucis.01.03.468380
Cited By: 2

Öz

Kaynakça

  • [1] Yorucu V. Price modeling of imported natural gas in Turkey. J. Renewable Sustainable Energy 2016; 8:013111.
  • [2] MENR (Republic of Turkey Ministry of Energy and Natural Resources). Energy balance sheets (1980-2014), http://www.eigm.gov.tr/tr-TR/Denge-Tablolari/Denge-Tablolari; 2016 [accessed 29 June 2016].
  • [3] TurkStat (Turkish Statistical Institute). Electricity generation and shares by energy resources, http://www.tuik.gov.tr/PreTablo.do?alt_id=1029; 2016 [accessed 29 June 2016].
  • [4] TEİAŞ (Turkish Electricity Transmission Company). 2014 operational reports, Generation-Consumption by electricity utilities and sources, http://www.teias.gov.tr/yukdagitim/yillik_menu.htm; 2014 [accessed 25 November 2015].
  • [5] MENR (Republic of Turkey Ministry of Energy and Natural Resources). http://www.enerji.gov.tr/tr-TR/Sayfalar/Elektrik; 2017 [accessed 25 May 2018].
  • [6] TurkStat (Turkish Statistical Institute). Gross Domestic Product by Production Approach, Gross Domestic Product and GDP per capita, http://www.tuik.gov.tr/UstMenu.do?metod=temelist; 2016 [accessed 18 May 2016].
  • [7] TEİAŞ (Turkish Electricity Transmission Company). Turkish electrical energy generation capacity projections, http://www.teias.gov.tr/YayinRapor/apk/projeksiyon/index.htm; 2017 [accessed 12 April 2017].
  • [8] TEİAŞ (Turkish Electricity Transmission Company). Load dispatch department operational reports, http://www.teias.gov.tr/YukTevziRaporlari.aspx; 2015 [accessed 17 June 2015].
  • [9] OECD (The Organisation for Economic Co-operation and Development). Population (indicator), https://data.oecd.org/pop/population.htm; 2015 [accessed 29 May 2015].
  • [10] TurkStat (Turkish Statistical Institute). The Results of Address Based Population Registration System, 2014, http://www.tuik.gov.tr/PreHaberBultenleri.do?id=18616; 2014 [accessed 28 January 2015].
  • [11] BP (British Petroleum). Statistical Review of World Energy 2015, http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html; 2015 [accessed 04 December 2015].
  • [12] Eurostat (European Commission Directorate General for Statistics). Population on 1 January, http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=tps00001&plugin=1;2015 [accessed 04 December 2015].
  • [13] Census (U.S. Census Bureau). U.S. and world population clock, https://www.census.gov/popclock/?intcmp=home_pop; 2015 [accessed 04 December 2015].
  • [14] TurkStat (Turkish Statistical Institute). Greenhouse gas emissions inventory, 2014, http://www.tuik.gov.tr/PreHaberBultenleri.do?id=21582; [accessed 18 April 2016].
  • [15] IPC (İstanbul Policy Center-Sabanci University). Coal report-Turkey's coal policies related to climate change, economy and health, 2016, Turkey.
  • [16] Ozcan M. The role of renewables in increasing Turkey's self-sufficiency in electrical energy, Renew Sust Energ Rev 2018; 82 (3):2629-2639.
  • [17] Bilgen S, Keleş S, Sarıkaya İ, Kaygusuz K. A perspective for potential and technology of bioenergy in Turkey: Present case and future view. Renew Sust Energ Rev 2015; 48: 228-239.
  • [18] Atilgan B, Azapagic A. Life cycle environmental impacts of electricity from fossil fuels in Turkey. J Clean Prod 2015; 106:555-564.
  • [19] Schallenberg-Rodriguez J. Renewable electricity support systems: Are feed-in systems taking the lead?. Renew Sust Energ Rev 2017; 76:1422–1439.
  • [20] Currier KM. Cost reduction incentives in electricity markets with overlapping regulations. The Electricity Journal 2016; 29(2) 1-6.
  • [21] Delarue E, Van den Bergh K. Carbon mitigation in the electric power sector under cap-and-trade and renewables policies. Energ Policy 2016; 92: 34-44.
  • [22] Wang H, Zheng S, Zhang Y, Zhang K. Analysis of the policy effects of down stream Feed-In Tariff on China's solar photovoltaic industry. Energ Policy 2016; 95: 479-488.
  • [23] IRENA (The International Renewable Energy Agency), http://www.irena.org/-/media/Files/IRENA/Agency/Publication/2018/Apr/IRENA_Auctions_Sub-Saharan_Africa_2018.pdf [accessed 10 May 2018].
  • [24] Aquilaa G, de Oliveira Pamplona E, de Queiroz AR, Junior PR, Fonseca MN. An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience. Renew Sust Energ Rev 2017; 70:1090–1098.
  • [25] Haghi E, Raahemifar K, Fowler M. Investigating the effect of renewable energy incentives and hydrogen storage on advantages of stakeholders in a microgrid. Energ Policy 2018;113:206–222.
  • [26] Abdmouleh Z, Alammari RAM, Gastli A. Review of policies encouraging renewable energy integration & best practices. Renew Sustain Energ Rev 2015; 45:249 – 262 .
  • [27] Baris K, Kucukali S. Availibility of renewable energy sources in Turkey: Current situation, potential, government policies and the EU perspective. Energ Policy 2012; 42: 377-391.
  • [28] Balat M. Security of energy supply in Turkey: Challenges and solutions. Energ Convers Manage 2010; 51(10): 1998-2011.
  • [29] Sirin SM, Ege A. Overcoming problems in Turkey's renewable energy policy: How can EU contribute?. Renew Sust Energ Rev 2012; 16(7):4917-4926.
  • [30] Aksoy N. Electricity generation from geothermal, Turkey. In: 11th National Installation Engineering Congress. http://www.mmo.org.tr/resimler/dosya_ekler/f058c634d01b96a_ek.pdf; 2013 [accessed 09 February 2016].
  • [31] Pereira S, Ferreira P, Vaz AIF. Optimization modeling to support renewables integration in power systems. Renew Sust Energ Rev 2016; 55: 316-325.
  • [32] Aghaei J, Akbari MA, Roosta A, Baharvandi A. Multiobjective generation expansion planning considering power system adequacy. Electr Pow Syst Res 2013; 102: 8- 19.
  • [33] Bagheri A, Monsef H, Lesani H. Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions. Int J Elec Power 2015; 73: 56-70.
  • [34] Rajesh K, Bhuvanesh A, Kannan S, Thangaraj C. Least cost generation expansion planning with solar power plant using Differential Evolution algorithm. Renew Energ 2016; 85:677- 686.
  • [35] Yildirim M, Erkan K, Ozturk S. Power generation expansion planning with adaptive simulated annealing genetic algorithm. Int J Energ Res 2006; 30 (14):1188-1199.
  • [36] Hemmati R, Hooshmand RA, Khodabakhshian A. Reliability constrained generation expansion planning with consideration of wind farms uncertainties in deregulated electricity market. Energ Convers Manage 2013;76:517-526.
  • [37] Murugan P, Kannan S, Baskar S. NSGA-II algorithm for multi-objective generation expansion planning problem. Electr Pow Syst Res 2009; 79: 622-628.
  • [38] Fagiani R, Barquı´n J, Hakvoort R. Risk-based assessment of the cost-efficiency and the effectivity of renewable energy support schemes: Certificate markets versus feed-in tariffs. Energ Policy 2013; 55: 648-661.
  • [39] Ritzenhofen I, Birge JR, Spinler S. The structural impact of renewable portfolio standards and feed-in tariffs on electricity markets. Eur J Oper Res 2016; 255: 224-242.
  • [40] Frondel M, Ritter N, Schmidt CM, Vance C. Economic impacts from the promotion of renewable energy technologies: The German experience. Energ Policy 2010; 38: 4048-4056.
  • [41] Butler L, Neuhoff K. Comparison of feed-in tariff, quota and auction mechanisms to support wind power development. Renew Energ 2008; 33:1854-1867.
  • [42] Haas R, Panzer C, Resch G, Ragwitz M, Reece G, Held A. A historical review of promotion strategies for electricity from renewable energy sources in EU countries. Renew Sust Energ Rev 2011;15:1003-1034.
  • [43] PwC (PricewaterhouseCoopers) International Limited Turkey. Turkey's renewable energy sector from a global perspective. 2012, Turkey.
  • [44] REN21 (Renewable Energy Policy Network fort he 21st Century). Renewables 2016 global status report. ISBN 978-3-9818107-0-7, 2016, France.
  • [45] OECD/IEA (International Energy Agency). Deploying renewables 2011, 2011, France.
  • [46] Hsu CW, Ho SP. Assessing feed-in tariffs on wind power installation and industry development in Taiwan. Renew Sust Energ Rev 2016; 58: 548-557.
  • [47] Pyrgou A, Kylili A, Fokaides PA. The future of the Feed-in Tariff (FiT) scheme in Europe: The case of photovoltaics. Energ Policy 2016; 95:94-102.
  • [48] Huenteler J, Schmidt TS, Kanie N. Japan's post-Fukushima challenge - implications from the German experience on renewable energy policy. Energ Policy 2012; 45: 6-11.
  • [49] Pegels A, Lütkenhorst W. Is Germany's energy transition a case of successful green industrial policy? Contrasting wind and solar PV. Energ Policy 2014; 74:522-534.
  • [50] Strunz S. The German energy transition as a regime shift. Ecol Econ 2014; 100:150-158.
  • [51] Guidolin M, Guseo R. The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies. Renew Sust Energ Rev 2016; 60:1498-1504.
  • [52] Polo AL, Haas R. An international overview of promotion policies for grid-connected photovoltaic systems.Prog. Photovolt: Res. Appl. 2014; 22(2):248-273.
  • [53] Aquila G, Pamplona EdO, Queiroz AR, Junior PR, Fonsecaa MN. An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience. Renew Sust Energ Rev 2017; 70:1090-1098.
  • [54] Pablo-Romero MdP. Solar Energy: Incentives to Promote PV in EU27. AIMS Energy 2013;1:28-47.
  • [55] IBRD (International Bank for Reconstruction and Development / The World Bank). The Design and Sustainability of Renewable Energy Incentives An Economic Analysis. 2015, USA.
  • [56] Law no 6094 on Making of Amendment on the Law of Renewable Energy Resources for the Generation of Electrical Energy, Official Gazette. 27809 (2011).
  • [57] Law no 4706 on making amendments to the law on the valuation of immovable properties belonging to the treasury and value added tax, Official Gazette. 24466 (2001).[58] Law no 6446 on Electricity Market law, Official Gazette. 28603 (2013).
  • [59] Electricity market Licensing Regulation, Official Gazette. 24836 (2002).
  • [60] Regulation on the amendment of the regulation on the documentation and support of renewable energy sources, Official Gazette. 29698 (2016).
  • [61] Yildirim M, Erkan K. Determination of acceptable operating cost level of nuclear energy for Turkey's power system. Energy 2007;32 (2):128-136.
  • [62] Sivanandam SN, Deepa SN. Introduction to Genetic Algorithms. Berlin:Springer; 2008.
  • [63] Gavela P, Rueda JL, Vargas A, Erlich I. Performance comparison of heuristic optimization methods for optimal dynamic transmission expansion planning. Int. Trans. Electr. Energ. Syst. 2014; 24(10):1450-1472.
  • [64] Sadeghi H, Rashidinejad M, Abdollahi A. A comprehensive sequential review study through the generation expansion planning. Renew Sust Energ Rev 2017; 67:1369-1394.
  • [65] Hassan AA, Fahmy FH, Nafeh AESA, Abu-elmagd MA. Hybrid genetic multi objective/fuzzy algorithm for optimal sizing and allocation of renewable DG systems. Int. Trans. Electr. Energ. Syst. 2016; 26(12):2588-2617.
  • [66] Ciornei I, Kyriakides E. Recent methodologies and approaches for the economic dispatch of generation in power systems. Int. Trans. Elect. Energ. Syst. 2013; 23(7):1002-1027.
  • [67] Park JB, Park YM, Won JR, Lee KY. An improved genetic algorithm for generation expansion planning. IEEE T Power Syst 2000;15: 916-922.
  • [68] Tuncer A, Yildirim M. Dynamic path planning of mobile robots with improved genetic algorithm. Comput Electr Eng 2012; 38:1564-1572.
  • [69] Ozcan M. Effects of renewable energy resources in long-term generation expansion planning of Turkey, Ph.D. Thesis, Kocaeli University, Institute of Natural and Applied Science, 2013, Kocaeli, Turkey.
  • [70] Ozcan M, Ozturk S, Yildirim M. Turkey's long-term generation expansion planning with the inclusion of renewable-energy sources. Comput Electr Eng 2014; 40(7), 2050-2061.
  • [71] TEİAŞ (Turkey General Directorate of Electric Transmission Joint Stock Company), 10-year (2011-2020) generation capacity projection of Turkey's electric energy, 2011.

The Impact of Capital Subsidy Incentive on Renewable Energy Deployment in Long-Term Power Generation Expansion Planning

Yıl 2018, Cilt: 1 Sayı: 3, 1 - 19, 18.12.2018

Mustafa Özcan Mehmet Yıldırım

https://doi.org/10.35377/saucis.01.03.468380
Cited By: 2

Öz

Capital investment cost is the major obstacle to
the increasing share of electricity from renewable energy sources (RES-E). Therefore,
RES-E incentive mechanisms are incorporated into markets to compensate
cost-related barriers and to increase RES-E deployment rate. In this
study, the impact
of direct capital investment subsidy on RES-E in generation expansion planning (GEP)
has been analyzed and deployment rates of renewable power plants have been defined.
The effect of current
subsidy mechanisms on the installed power capacity of various sources has also
been analyzed and policy recommendations have been put forth in the light of
the characteristics of Turkey’s current subsidization mechanism and its outcomes.



Genetic algorithm was applied
to solve the GEP problem. The share of non-hydro renewable power plants for future
additions in overall installed
power was determined as 9.45% without the proposed incentive, while it was estimated
to rise to 13.65% when it was promoted by direct capital investment subsidy of
50%. The deployment rates of renewable power plants are expected to grow as the
imported coal share in total installed power is expected to decline after
applying the proposed subsidy.

Anahtar Kelimeler

Renewable energy Generation expansion planning Incentives Capital subsidy Genetic algorithm

Kaynakça

  • [1] Yorucu V. Price modeling of imported natural gas in Turkey. J. Renewable Sustainable Energy 2016; 8:013111.
  • [2] MENR (Republic of Turkey Ministry of Energy and Natural Resources). Energy balance sheets (1980-2014), http://www.eigm.gov.tr/tr-TR/Denge-Tablolari/Denge-Tablolari; 2016 [accessed 29 June 2016].
  • [3] TurkStat (Turkish Statistical Institute). Electricity generation and shares by energy resources, http://www.tuik.gov.tr/PreTablo.do?alt_id=1029; 2016 [accessed 29 June 2016].
  • [4] TEİAŞ (Turkish Electricity Transmission Company). 2014 operational reports, Generation-Consumption by electricity utilities and sources, http://www.teias.gov.tr/yukdagitim/yillik_menu.htm; 2014 [accessed 25 November 2015].
  • [5] MENR (Republic of Turkey Ministry of Energy and Natural Resources). http://www.enerji.gov.tr/tr-TR/Sayfalar/Elektrik; 2017 [accessed 25 May 2018].
  • [6] TurkStat (Turkish Statistical Institute). Gross Domestic Product by Production Approach, Gross Domestic Product and GDP per capita, http://www.tuik.gov.tr/UstMenu.do?metod=temelist; 2016 [accessed 18 May 2016].
  • [7] TEİAŞ (Turkish Electricity Transmission Company). Turkish electrical energy generation capacity projections, http://www.teias.gov.tr/YayinRapor/apk/projeksiyon/index.htm; 2017 [accessed 12 April 2017].
  • [8] TEİAŞ (Turkish Electricity Transmission Company). Load dispatch department operational reports, http://www.teias.gov.tr/YukTevziRaporlari.aspx; 2015 [accessed 17 June 2015].
  • [9] OECD (The Organisation for Economic Co-operation and Development). Population (indicator), https://data.oecd.org/pop/population.htm; 2015 [accessed 29 May 2015].
  • [10] TurkStat (Turkish Statistical Institute). The Results of Address Based Population Registration System, 2014, http://www.tuik.gov.tr/PreHaberBultenleri.do?id=18616; 2014 [accessed 28 January 2015].
  • [11] BP (British Petroleum). Statistical Review of World Energy 2015, http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html; 2015 [accessed 04 December 2015].
  • [12] Eurostat (European Commission Directorate General for Statistics). Population on 1 January, http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=tps00001&plugin=1;2015 [accessed 04 December 2015].
  • [13] Census (U.S. Census Bureau). U.S. and world population clock, https://www.census.gov/popclock/?intcmp=home_pop; 2015 [accessed 04 December 2015].
  • [14] TurkStat (Turkish Statistical Institute). Greenhouse gas emissions inventory, 2014, http://www.tuik.gov.tr/PreHaberBultenleri.do?id=21582; [accessed 18 April 2016].
  • [15] IPC (İstanbul Policy Center-Sabanci University). Coal report-Turkey's coal policies related to climate change, economy and health, 2016, Turkey.
  • [16] Ozcan M. The role of renewables in increasing Turkey's self-sufficiency in electrical energy, Renew Sust Energ Rev 2018; 82 (3):2629-2639.
  • [17] Bilgen S, Keleş S, Sarıkaya İ, Kaygusuz K. A perspective for potential and technology of bioenergy in Turkey: Present case and future view. Renew Sust Energ Rev 2015; 48: 228-239.
  • [18] Atilgan B, Azapagic A. Life cycle environmental impacts of electricity from fossil fuels in Turkey. J Clean Prod 2015; 106:555-564.
  • [19] Schallenberg-Rodriguez J. Renewable electricity support systems: Are feed-in systems taking the lead?. Renew Sust Energ Rev 2017; 76:1422–1439.
  • [20] Currier KM. Cost reduction incentives in electricity markets with overlapping regulations. The Electricity Journal 2016; 29(2) 1-6.
  • [21] Delarue E, Van den Bergh K. Carbon mitigation in the electric power sector under cap-and-trade and renewables policies. Energ Policy 2016; 92: 34-44.
  • [22] Wang H, Zheng S, Zhang Y, Zhang K. Analysis of the policy effects of down stream Feed-In Tariff on China's solar photovoltaic industry. Energ Policy 2016; 95: 479-488.
  • [23] IRENA (The International Renewable Energy Agency), http://www.irena.org/-/media/Files/IRENA/Agency/Publication/2018/Apr/IRENA_Auctions_Sub-Saharan_Africa_2018.pdf [accessed 10 May 2018].
  • [24] Aquilaa G, de Oliveira Pamplona E, de Queiroz AR, Junior PR, Fonseca MN. An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience. Renew Sust Energ Rev 2017; 70:1090–1098.
  • [25] Haghi E, Raahemifar K, Fowler M. Investigating the effect of renewable energy incentives and hydrogen storage on advantages of stakeholders in a microgrid. Energ Policy 2018;113:206–222.
  • [26] Abdmouleh Z, Alammari RAM, Gastli A. Review of policies encouraging renewable energy integration & best practices. Renew Sustain Energ Rev 2015; 45:249 – 262 .
  • [27] Baris K, Kucukali S. Availibility of renewable energy sources in Turkey: Current situation, potential, government policies and the EU perspective. Energ Policy 2012; 42: 377-391.
  • [28] Balat M. Security of energy supply in Turkey: Challenges and solutions. Energ Convers Manage 2010; 51(10): 1998-2011.
  • [29] Sirin SM, Ege A. Overcoming problems in Turkey's renewable energy policy: How can EU contribute?. Renew Sust Energ Rev 2012; 16(7):4917-4926.
  • [30] Aksoy N. Electricity generation from geothermal, Turkey. In: 11th National Installation Engineering Congress. http://www.mmo.org.tr/resimler/dosya_ekler/f058c634d01b96a_ek.pdf; 2013 [accessed 09 February 2016].
  • [31] Pereira S, Ferreira P, Vaz AIF. Optimization modeling to support renewables integration in power systems. Renew Sust Energ Rev 2016; 55: 316-325.
  • [32] Aghaei J, Akbari MA, Roosta A, Baharvandi A. Multiobjective generation expansion planning considering power system adequacy. Electr Pow Syst Res 2013; 102: 8- 19.
  • [33] Bagheri A, Monsef H, Lesani H. Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions. Int J Elec Power 2015; 73: 56-70.
  • [34] Rajesh K, Bhuvanesh A, Kannan S, Thangaraj C. Least cost generation expansion planning with solar power plant using Differential Evolution algorithm. Renew Energ 2016; 85:677- 686.
  • [35] Yildirim M, Erkan K, Ozturk S. Power generation expansion planning with adaptive simulated annealing genetic algorithm. Int J Energ Res 2006; 30 (14):1188-1199.
  • [36] Hemmati R, Hooshmand RA, Khodabakhshian A. Reliability constrained generation expansion planning with consideration of wind farms uncertainties in deregulated electricity market. Energ Convers Manage 2013;76:517-526.
  • [37] Murugan P, Kannan S, Baskar S. NSGA-II algorithm for multi-objective generation expansion planning problem. Electr Pow Syst Res 2009; 79: 622-628.
  • [38] Fagiani R, Barquı´n J, Hakvoort R. Risk-based assessment of the cost-efficiency and the effectivity of renewable energy support schemes: Certificate markets versus feed-in tariffs. Energ Policy 2013; 55: 648-661.
  • [39] Ritzenhofen I, Birge JR, Spinler S. The structural impact of renewable portfolio standards and feed-in tariffs on electricity markets. Eur J Oper Res 2016; 255: 224-242.
  • [40] Frondel M, Ritter N, Schmidt CM, Vance C. Economic impacts from the promotion of renewable energy technologies: The German experience. Energ Policy 2010; 38: 4048-4056.
  • [41] Butler L, Neuhoff K. Comparison of feed-in tariff, quota and auction mechanisms to support wind power development. Renew Energ 2008; 33:1854-1867.
  • [42] Haas R, Panzer C, Resch G, Ragwitz M, Reece G, Held A. A historical review of promotion strategies for electricity from renewable energy sources in EU countries. Renew Sust Energ Rev 2011;15:1003-1034.
  • [43] PwC (PricewaterhouseCoopers) International Limited Turkey. Turkey's renewable energy sector from a global perspective. 2012, Turkey.
  • [44] REN21 (Renewable Energy Policy Network fort he 21st Century). Renewables 2016 global status report. ISBN 978-3-9818107-0-7, 2016, France.
  • [45] OECD/IEA (International Energy Agency). Deploying renewables 2011, 2011, France.
  • [46] Hsu CW, Ho SP. Assessing feed-in tariffs on wind power installation and industry development in Taiwan. Renew Sust Energ Rev 2016; 58: 548-557.
  • [47] Pyrgou A, Kylili A, Fokaides PA. The future of the Feed-in Tariff (FiT) scheme in Europe: The case of photovoltaics. Energ Policy 2016; 95:94-102.
  • [48] Huenteler J, Schmidt TS, Kanie N. Japan's post-Fukushima challenge - implications from the German experience on renewable energy policy. Energ Policy 2012; 45: 6-11.
  • [49] Pegels A, Lütkenhorst W. Is Germany's energy transition a case of successful green industrial policy? Contrasting wind and solar PV. Energ Policy 2014; 74:522-534.
  • [50] Strunz S. The German energy transition as a regime shift. Ecol Econ 2014; 100:150-158.
  • [51] Guidolin M, Guseo R. The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies. Renew Sust Energ Rev 2016; 60:1498-1504.
  • [52] Polo AL, Haas R. An international overview of promotion policies for grid-connected photovoltaic systems.Prog. Photovolt: Res. Appl. 2014; 22(2):248-273.
  • [53] Aquila G, Pamplona EdO, Queiroz AR, Junior PR, Fonsecaa MN. An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience. Renew Sust Energ Rev 2017; 70:1090-1098.
  • [54] Pablo-Romero MdP. Solar Energy: Incentives to Promote PV in EU27. AIMS Energy 2013;1:28-47.
  • [55] IBRD (International Bank for Reconstruction and Development / The World Bank). The Design and Sustainability of Renewable Energy Incentives An Economic Analysis. 2015, USA.
  • [56] Law no 6094 on Making of Amendment on the Law of Renewable Energy Resources for the Generation of Electrical Energy, Official Gazette. 27809 (2011).
  • [57] Law no 4706 on making amendments to the law on the valuation of immovable properties belonging to the treasury and value added tax, Official Gazette. 24466 (2001).[58] Law no 6446 on Electricity Market law, Official Gazette. 28603 (2013).
  • [59] Electricity market Licensing Regulation, Official Gazette. 24836 (2002).
  • [60] Regulation on the amendment of the regulation on the documentation and support of renewable energy sources, Official Gazette. 29698 (2016).
  • [61] Yildirim M, Erkan K. Determination of acceptable operating cost level of nuclear energy for Turkey's power system. Energy 2007;32 (2):128-136.
  • [62] Sivanandam SN, Deepa SN. Introduction to Genetic Algorithms. Berlin:Springer; 2008.
  • [63] Gavela P, Rueda JL, Vargas A, Erlich I. Performance comparison of heuristic optimization methods for optimal dynamic transmission expansion planning. Int. Trans. Electr. Energ. Syst. 2014; 24(10):1450-1472.
  • [64] Sadeghi H, Rashidinejad M, Abdollahi A. A comprehensive sequential review study through the generation expansion planning. Renew Sust Energ Rev 2017; 67:1369-1394.
  • [65] Hassan AA, Fahmy FH, Nafeh AESA, Abu-elmagd MA. Hybrid genetic multi objective/fuzzy algorithm for optimal sizing and allocation of renewable DG systems. Int. Trans. Electr. Energ. Syst. 2016; 26(12):2588-2617.
  • [66] Ciornei I, Kyriakides E. Recent methodologies and approaches for the economic dispatch of generation in power systems. Int. Trans. Elect. Energ. Syst. 2013; 23(7):1002-1027.
  • [67] Park JB, Park YM, Won JR, Lee KY. An improved genetic algorithm for generation expansion planning. IEEE T Power Syst 2000;15: 916-922.
  • [68] Tuncer A, Yildirim M. Dynamic path planning of mobile robots with improved genetic algorithm. Comput Electr Eng 2012; 38:1564-1572.
  • [69] Ozcan M. Effects of renewable energy resources in long-term generation expansion planning of Turkey, Ph.D. Thesis, Kocaeli University, Institute of Natural and Applied Science, 2013, Kocaeli, Turkey.
  • [70] Ozcan M, Ozturk S, Yildirim M. Turkey's long-term generation expansion planning with the inclusion of renewable-energy sources. Comput Electr Eng 2014; 40(7), 2050-2061.
  • [71] TEİAŞ (Turkey General Directorate of Electric Transmission Joint Stock Company), 10-year (2011-2020) generation capacity projection of Turkey's electric energy, 2011.
Toplam 70 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgisayar Yazılımı
Bölüm Makaleler
Yazarlar

Mustafa Özcan 0000-0001-6436-6368

Mehmet Yıldırım

Yayımlanma Tarihi 18 Aralık 2018
Gönderilme Tarihi 8 Ekim 2018
Kabul Tarihi 31 Ekim 2018
Yayımlandığı Sayı Yıl 2018Cilt: 1 Sayı: 3

Kaynak Göster

IEEE M. Özcan ve M. Yıldırım, “The Impact of Capital Subsidy Incentive on Renewable Energy Deployment in Long-Term Power Generation Expansion Planning”, SAUCIS, c. 1, sy. 3, ss. 1–19, 2018, doi: 10.35377/saucis.01.03.468380.

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