Demand for flexibility improvement of thermal power units and accommodation of wind power under the situation of high-proportion renewable integration—taking North Hebei as an example

Abstract

As much wind power is connected to the power system, the accommodation of the wind power in the power grids becomes a huge challenge to the operation model of China’s power system. Releasing and improving the flexibility of the power system will be necessary and important to enable the accommodation of power generated with renewable energy sources, which is connected to the power grids on a large scale and accounts for a high proportion. The paper, with North Hebei as an example, discusses the relationship between the demand for the flexibility of thermal power units and the accommodation of wind power. This paper further analyzes the demand for peak load regulation in North Hebei at both the present and the future as well as the characteristics of power sources in the power grids of North Hebei and the technical potential of power generation. It also compares the quantity of curtailed power before and after the flexibility-oriented transformation of thermal power units in North Hebei and calculates the minimum technical output of thermal power under different levels of accommodation of wind power. The research shows that the peak load regulating resources in the power grids of North Hebei boast huge potential, but in the long term, to achieve the objective of a 10% curtailment rate of power generated with renewable energy sources, the minimum technical output of condensing units must be lower than the internationally advanced level of 25%. So, it is difficult to fulfill the said objective solely relying on the strengthened transformation of generating units. To reach the level of 5% curtailment rate of power generated with renewable energy sources, the minimum technical output must achieve breakthrough improvement, which requires continuous technological innovation and power flexibility in close coordination.

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References

  1. Alemany JM, Arendarskia B, Lombard P (2018) Accentuating the renewable energy exploitation: evaluation of flexibility options. Electr Power Energy Syst 102:131–151

    Article  Google Scholar 

  2. Alizadeh MI, ParsaMoghaddam M, Amjady N (2016) Flexibility in future power systems with high renewable penetration: a review. Renew Sust Energ Rev 57:1186–1193

    Article  Google Scholar 

  3. Batalla-Bejerano J, Trujillo-Baute E (2016) Impacts of intermittent renewable generation on electricity system costs. Energy Policy 94:411–420

    Article  Google Scholar 

  4. Belderbos A, Delarue E (2015) Accounting for flexibility in power system planning with renewables. Int J Electr Power Syst 71:33–41

    Article  Google Scholar 

  5. China Electricity Council (2016) Summary of power industry statistics 2016. China Electricity Council, Beijing

    Google Scholar 

  6. Cruz MRM, Fitiwib DZ, Santosa SF, Catalão JPS (2018) A comprehensive survey of flexibility options for supporting the low-carbon energy future. Renew Sust Energ Rev 97:338–353

    Article  Google Scholar 

  7. Denholm P, Kuss M, Margolis RM (2013) Co-benefits of large scale plug-in hybrid electric vehicle and solar PV deployment. J Power Sources 236:350–356

  8. Ding L, Qiao Y, Lu ZX, Min Y (2014) Impact on frequency regulation of power system from wind power with high penetration. Autom Electric Power Sys 38(14):1–8

    Google Scholar 

  9. Electric Power Planning and Engineering Institute (2017) China’s power development report 2016. China Electric Power Press, Beijing

    Google Scholar 

  10. Energy Research Institute National Development and Reform Commission (2015) China 2050 high renewable energy penetration scenario and roadmap study. Energy Research Institute National Development and Reform Commission, Beijing

    Google Scholar 

  11. Frew BA, Becker S, Dvorak MJ, Andresen GB, Jacobson MZ (2016) Flexibility mechanisms and pathways to a highly renewable US electricity future. Energy 101:65–78

    Article  Google Scholar 

  12. Gong S, Shi QG, Mao YC (2017) Present situation and development of flexible technology of thermal power units in China. Appl Energy Techno 5:1–6

    Article  Google Scholar 

  13. Grossmann IE, Morari M (1983) Resiliency and flexibility—process design objectives for a changing world. In: Proceedings of the 2nd International Conference on Foundations of Computer Aided Process and Design. Snowmass

  14. Hand MM, Baldwin S, De Meo E (2014) Renewable electricity futures study. National Renewable Energy Laboratory, Colorado

    Google Scholar 

  15. Heydarian F, Golshan MEH, Siano P (2017) Evaluating the benefits of coordinated emerging flexible resources in electricity markets. Appl Energy 199:142–154

    Article  Google Scholar 

  16. Holttinen H (2005) Impact of hourly wind power variations on the system operation in the Nordic countries. Wind Energy 8(2):197–218

    Article  Google Scholar 

  17. Holttinen H (2013) The flexibility workout: managing variable resources and assessing the need for power system modification. IEEE Power Energ Mag 11(6):53–62

    Article  Google Scholar 

  18. IEA (2009) Empowering variable renewables-options for flexible electricity systems. OEDC, Paris

    Google Scholar 

  19. Jiang C, Liu WX, Zhang JH (2014) Risk assessment of generation and transmission systems considering wind power penetration. T China Electrotech Soc 29(2):260–270

    Google Scholar 

  20. Jin JJ, Zhou P, Zhang MM, Yu XY (2018) Balancing low-carbon power dispatching strategy for wind power integrated system. Energy 149:914–924

    Article  Google Scholar 

  21. Kehler J H, Hu M (2011) Planning and operational considerations for power system flexibility. In: Power and Energy Society General Meeting, IEEE. 1–3. Detroit, Michigan.

    Google Scholar 

  22. Koltsaklis NE, Dagoumas AS, Panapakidis IP (2017) Impact of the penetration of renewables on flexibility needs. Energy Policy 109:360–369

    Article  Google Scholar 

  23. Kopiske J, Spieker S, Tsatsaronis G (2017) Value of power plant flexibility in power systems with high shares of variable renewables: a scenario outlook for Germany 2035. Energy 137:823–833

    Article  Google Scholar 

  24. Kristiansen M, Korpas M, Svendsen HG (2018) A generic framework for power system flexibility analysis using cooperative game theory. Appl Energy 212:223–232

    Article  Google Scholar 

  25. Kwon PS, Østergaard P (2014) Assessment and evaluation of flexible demand in a Danish future energy scenario. Appl Energy 134:309–320

    Article  Google Scholar 

  26. Li PJ, Cai XW, Huang YH (2015) Growth in wind and sun: integrating variable generation in China. IEEE Power Energ Mag 13(6):40–49

    Article  Google Scholar 

  27. Li BS, Xu JS, Wang Q (2016) From controllable loads to generalized demand-side resources: a review on developments of demand-side resources. Renew Sust Energ Rev 53:936–944

    Article  Google Scholar 

  28. Liu J, Zeng D (2015) Control strategy for operating flexibility of coal-fired power plants in alternate electrical power systems. Proc CSEE 5(21):5385–5394

    Google Scholar 

  29. Lu ZX, Li HB, Qiao Y (2016) Power system flexibility planning and challenges considering high proportion of renewable energy. Autom Electric Power Sys 40(13):147–157

    Google Scholar 

  30. Lu ZX, Li HB, Qiao Y (2017) Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity. Proc CSEE 37(1):9–19

    Google Scholar 

  31. National Renewable Energy Center (2016a) Outlook on China’s renewable energy 2016

  32. National Renewable Energy Center (2016b) Report on the development of China’s renewable energy industry 2016. China Economic Publishing House, Beijing

    Google Scholar 

  33. Nicolsi M (2010) Wind power integration and power system flexibility-an empirical analysis of extreme events in Germany under the new negative price regime. Energy Policy 38(1):7257–7268

    Article  Google Scholar 

  34. North American Electric Reliability Corporation (2009) Special report: accommodating high levels of variable generation. North American Electric Reliability Corporation, Atlanta, GA

    Google Scholar 

  35. Papaefthymiou G, Dragoon K (2016) Towards 100% renewable energy systems: uncapping power system flexibility. Energy Policy 92:69–82

    Article  Google Scholar 

  36. Sandberg E, Kirkerud JG, Trømborg E, Bolkesj TF (2018) Energy system impacts of grid tariff structures for flexible power-to-district heat. Energy. https://doi.org/10.1016/j.energy Accepted Manuscript

  37. Schellekens G, Battaglini A, Lilliestam J (2010) 100% renewable electricity: a roadmap to 2050 for Europe and North Africa. Pricewaterhouse Coopers, London

    Google Scholar 

  38. Shi JL, Zhao YQ (2018) Analysis of the reasons why renewable energy generation is difficult to accommodate. Energy of China 40(01):27–31

    Google Scholar 

  39. Shi T, Zhu LZ, Yu RY (2016) Overview on power system flexibility evaluation. Power Sys Prot Control 44(5):146–154

    Google Scholar 

  40. Shu Y, Zhang Z (2017) Study on key factors and solution of renewable energy accommodation. Proc CSEE 37(1):1–9

    Google Scholar 

  41. Soroudi A, Rabiee A, Keane A (2017) Distribution networks’ energy losses versus hosting capacity of wind power in the presence of demand flexibility. Renew Energy 102:316–325

    Article  Google Scholar 

  42. Su P, Wang WJ, Yang G (2018a) Research on the technology to improve the flexibility of thermal power plants. Electric Power 51(5):87–94

    Google Scholar 

  43. Su P, Wang WJ, Yang G, Yu FX, Liu QJ (2018b). Research on technical scheme of improving flexibility of thermal power units. Electric Power 55(5):87–94

  44. Villar J, Bessa R, Matos M (2018) Flexibility products and markets: literature review. Electr Power Syst Res 154:329–340

    Article  Google Scholar 

  45. Wang X, Li J, Huang B (2015) A two-stage optimal dispatching model for provincial and regional power grids connected with wind farms to promote accommodation of wind power. Power Sys Techno 39(7):1833–1838

    Google Scholar 

  46. Wang Y, Lin YK, Lan XM (2017a) Flexibility analysis of conventional generation with random fluctuation renewable energy. Electric Power Constr 38(1):131–137

    Google Scholar 

  47. Wang ZH, Yang L, Tian CG (2017b) Energy optimization for combined system of wind-electric energy storage-regenerative electric boiler considering wind consumption. Proc CSEE 37:137–143

    Google Scholar 

  48. Wei G, Fan XF, Zhang ZD (2015) Influence of wind power and photovoltaic’s development on Gansu power grid planning coordination and suggestions. Power Sys Prot Control 43(24):135–141

    Google Scholar 

  49. Xiao DY, Wang CM, Zeng PL (2014) A survey on power system flexibility and its evaluations. Power Sys Techno 38(6):1569–1576

    Google Scholar 

  50. Yang YS (2017) Reference significance of flexibility improvement of thermal power plant in Denmark and German. China Electric Power 10:24–30

    Google Scholar 

  51. Yi B, Xu J, Fan Y (2017) Optimal pathway and impact of achieving the mid-long term renewable portfolio standard in China. J Syst Eng 32(3):313–324

    Google Scholar 

  52. Yuan J H (2018) Continuing to promote power reform to increase the proportion of Renew Energy accommodation. http://coalcap.nrdc.cn/datum/info?id=74&type=1.2018. Accessed 25 Dec 2018

  53. Yuan JH, Zhang WH (2017) Research on excessive coal-fired power and de-capacity ways. Energy of China 39(8):14–20

    Google Scholar 

  54. Zhang L, Ye T (2010) Problems and measures of power grid accommodating large scale wind power. Proc CSEE 30(25):19–26

    Google Scholar 

  55. Zhang Y, Xiao J, Chi YN (2014) Research of wind power acceptance ability based on peak regulation. Acta Energ Solar Sin 35(6):998–1003

    Google Scholar 

  56. Zhang FQ, Yuan B, Zhang JF (2018) Economic evaluation of power system flexibility means for improvement of wind power integration. J Global Energ Interconnection 5:558–564

    Google Scholar 

  57. Zhao Y, Wang H (2015) Analysis on curtailment of China’s renewable energy and suggestive countermeasures. Energy of China 36(12):16–22

    Google Scholar 

  58. Zhu L, Chen N, Han H (2011) Key problems and solutions of wind power accommodation. Autom Electric Power Sys 35(22):29–34

    Google Scholar 

Download references

Funding

This paper is completed with the support from Beijing Social Science Fund Energy Base Project “A Study on Clean Utilization and Development of Energy in Rural Area under Beijing-Tianjin-Hebei Coordinated Development” (17JDYJB011) and Beijing Social Science Fund Project “Study on the Cooperative Development of New Energy and Coal-fired Power Generation in Beijing-Tianjin-Hebei Region under the New Normal Economy and Carbon Constraints” (16YJC062).

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Correspondence to Guoliang Luo.

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Luo, G., Zhang, X., Liu, S. et al. Demand for flexibility improvement of thermal power units and accommodation of wind power under the situation of high-proportion renewable integration—taking North Hebei as an example. Environ Sci Pollut Res 26, 7033–7047 (2019). https://doi.org/10.1007/s11356-019-04177-3

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Keywords

  • North Hebei
  • Power system flexibility
  • Renewable integration
  • Variable renewable energy sources
  • Wind energy
  • Power system planning and operation