IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v184y2016icp641-658.html
   My bibliography  Save this article

Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model

Author

Listed:
  • Yi, Bo-Wen
  • Xu, Jin-Hua
  • Fan, Ying

Abstract

China’s energy resources and electricity load show reverse regional distribution, along with serious imbalance of energy supply and demand between eastern and western regions. Inter-regional power transmission is considered to be the key strategic measure to balance the national resources allocation and satisfy various regional long-term benefits. In this study, a multi-region power sector optimization model is developed from the perspective of bottom-up modeling. Power transmission technologies are considered in detail. Moreover, the sub-module of inter-regional coal transportation is introduced into the model. Based on above framework, this study analyzes quantitatively the optimum inter-regional power transmission planning under various policy scenarios, and estimates its impacts on renewable energy, NOx and SO2 emissions, and coal transportation from a long-term perspective. The results show that ultra high voltage lines will become the main carrier of inter-regional power transmission in the future. The construction of transmission line between some regions such as from East Inner Mongolia to northern China, and from northwest China to central China can bring economic savings. Inter-regional power transmission is an effective way to promote the utilization of renewable energy in Inner Mongolia and northwest China, and plays an important role in controlling NOx and SO2 emissions in central and eastern China but has limited effect on the national total emissions. Moreover, it could reduce the inter-regional coal transportation significantly.

Suggested Citation

  • Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:641-658
    DOI: 10.1016/j.apenergy.2016.11.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916316063
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.11.021?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. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    2. Koltsaklis, Nikolaos E. & Liu, Pei & Georgiadis, Michael C., 2015. "An integrated stochastic multi-regional long-term energy planning model incorporating autonomous power systems and demand response," Energy, Elsevier, vol. 82(C), pages 865-888.
    3. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    4. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    5. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
    6. Feng, Yi & Lin, Heyun & Ho, S.L. & Yan, Jianhu & Dong, Jianning & Fang, Shuhua & Huang, Yunkai, 2015. "Overview of wind power generation in China: Status and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 847-858.
    7. Abdollahi, Elnaz & Wang, Haichao & Lahdelma, Risto, 2016. "An optimization method for multi-area combined heat and power production with power transmission network," Applied Energy, Elsevier, vol. 168(C), pages 248-256.
    8. Hui, Jingxuan & Cai, Wenjia & Wang, Can & Ye, Minhua, 2017. "Analyzing the penetration barriers of clean generation technologies in China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 185(P2), pages 1809-1820.
    9. Wright, Evelyn & Kanudia, Amit, 2014. "Low carbon standard and transmission investment analysis in the new multi-region US power sector model FACETS," Energy Economics, Elsevier, vol. 46(C), pages 136-150.
    10. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
    11. Schaber, Katrin & Steinke, Florian & Hamacher, Thomas, 2012. "Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?," Energy Policy, Elsevier, vol. 43(C), pages 123-135.
    12. Balash, Peter & Nichols, Christopher & Victor, Nadejda, 2013. "Multi-regional evaluation of the U.S. electricity sector under technology and policy uncertainties: Findings from MARKAL EPA9rUS modeling," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 89-119.
    13. Zhou, Xiaoxin & Yi, Jun & Song, Ruihua & Yang, Xiaoyu & Li, Yan & Tang, Haiyan, 2010. "An overview of power transmission systems in China," Energy, Elsevier, vol. 35(11), pages 4302-4312.
    14. Youngho Chang & Yanfei Li, . "Power Generation and Cross-border Grid Planning for the Integrated ASEAN Electricity Market: A Dynamic Linear Programming Model," Chapters, in: Yanrui Wu & Xunpeng Shi & Fukunari Kimura (ed.), Energy Market Integration in East Asia: Theories, Electricity Sector and Subsidies, chapter 3, pages 37-58, Economic Research Institute for ASEAN and East Asia (ERIA).
    15. Chen, Qixin & Kang, Chongqing & Xia, Qing & Guan, Dabo, 2011. "Preliminary exploration on low-carbon technology roadmap of China’s power sector," Energy, Elsevier, vol. 36(3), pages 1500-1512.
    16. Wang, Can & Ye, Minhua & Cai, Wenjia & Chen, Jining, 2014. "The value of a clear, long-term climate policy agenda: A case study of China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 125(C), pages 276-288.
    17. Duan, Hong-Bo & Fan, Ying & Zhu, Lei, 2013. "What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS?," Applied Energy, Elsevier, vol. 112(C), pages 866-875.
    18. Wang, Ge & Zhang, Qi & Mclellan, Benjamin C. & Li, Hailong, 2016. "Multi-region optimal deployment of renewable energy considering different interregional transmission scenarios," Energy, Elsevier, vol. 108(C), pages 108-118.
    19. Li, Yanfei & Chang, Youngho, 2015. "Infrastructure investments for power trade and transmission in ASEAN+2: Costs, benefits, long-term contracts and prioritized developments," Energy Economics, Elsevier, vol. 51(C), pages 484-492.
    20. Wang, Hao & Nakata, Toshihiko, 2009. "Analysis of the market penetration of clean coal technologies and its impacts in China's electricity sector," Energy Policy, Elsevier, vol. 37(1), pages 338-351, January.
    21. Cao, Yijia & Wang, Xifan & Li, Yong & Tan, Yi & Xing, Jianbo & Fan, Ruixiang, 2016. "A comprehensive study on low-carbon impact of distributed generations on regional power grids: A case of Jiangxi provincial power grid in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 766-778.
    22. Chen, Yizhong & He, Li & Li, Jing & Cheng, Xi & Lu, Hongwei, 2016. "An inexact bi-level simulation–optimization model for conjunctive regional renewable energy planning and air pollution control for electric power generation systems," Applied Energy, Elsevier, vol. 183(C), pages 969-983.
    23. Yang, Fang & Zhang, Dingzhong & Sun, Chuanwang, 2016. "China׳s regional balanced development based on the investment in power grid infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1549-1557.
    24. Gnansounou, Edgard & Dong, Jun, 2004. "Opportunity for inter-regional integration of electricity markets: the case of Shandong and Shanghai in East China," Energy Policy, Elsevier, vol. 32(15), pages 1737-1751, October.
    25. Bird, Lori & Chapman, Caroline & Logan, Jeff & Sumner, Jenny & Short, Walter, 2011. "Evaluating renewable portfolio standards and carbon cap scenarios in the U.S. electric sector," Energy Policy, Elsevier, vol. 39(5), pages 2573-2585, May.
    26. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
    27. Chang, Youngho & Li, Yanfei, 2015. "Renewable energy and policy options in an integrated ASEAN electricity market: Quantitative assessments and policy implications," Energy Policy, Elsevier, vol. 85(C), pages 39-49.
    28. Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian, 2015. "A multi-region optimization planning model for China’s power sector," Applied Energy, Elsevier, vol. 137(C), pages 413-426.
    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. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    2. Guo, Zheng & Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian & Sun, Yong, 2017. "A multi-region load dispatch model for the long-term optimum planning of China’s electricity sector," Applied Energy, Elsevier, vol. 185(P1), pages 556-572.
    3. Guo, Zheng & Ma, Linwei & Liu, Pei & Jones, Ian & Li, Zheng, 2016. "A multi-regional modelling and optimization approach to China's power generation and transmission planning," Energy, Elsevier, vol. 116(P2), pages 1348-1359.
    4. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2016. "The impact of inter-regional transmission grid expansion on China’s power sector decarbonization," Applied Energy, Elsevier, vol. 183(C), pages 853-873.
    5. Wang, B. & Liu, L. & Huang, G.H. & Li, W. & Xie, Y.L., 2018. "Effects of carbon and environmental tax on power mix planning - A case study of Hebei Province, China," Energy, Elsevier, vol. 143(C), pages 645-657.
    6. Li, Yanfei & Chang, Youngho, 2015. "Infrastructure investments for power trade and transmission in ASEAN+2: Costs, benefits, long-term contracts and prioritized developments," Energy Economics, Elsevier, vol. 51(C), pages 484-492.
    7. Chen, Huadong & Wang, Can & Cai, Wenjia & Wang, Jianhui, 2018. "Simulating the impact of investment preference on low-carbon transition in power sector," Applied Energy, Elsevier, vol. 217(C), pages 440-455.
    8. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    9. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
    10. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
    11. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.
    12. Xu, Jin-Hua & Yi, Bo-Wen & Fan, Ying, 2020. "Economic viability and regulation effects of infrastructure investments for inter-regional electricity transmission and trade in China," Energy Economics, Elsevier, vol. 91(C).
    13. Peng Wang & Meng Li, 2019. "Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China," Energies, MDPI, vol. 12(11), pages 1-26, June.
    14. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2015. "The implications of CO2 price for China’s power sector decarbonization," Applied Energy, Elsevier, vol. 146(C), pages 53-64.
    15. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2019. "Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China," Applied Energy, Elsevier, vol. 237(C), pages 25-35.
    16. Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian, 2015. "A multi-region optimization planning model for China’s power sector," Applied Energy, Elsevier, vol. 137(C), pages 413-426.
    17. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    18. Zhang, Yaru & Ma, Tieju & Guo, Fei, 2018. "A multi-regional energy transport and structure model for China’s electricity system," Energy, Elsevier, vol. 161(C), pages 907-919.
    19. Jie, Dingfei & Xu, Xiangyang & Guo, Fei, 2021. "The future of coal supply in China based on non-fossil energy development and carbon price strategies," Energy, Elsevier, vol. 220(C).
    20. Guerra, Omar J. & Tejada, Diego A. & Reklaitis, Gintaras V., 2016. "An optimization framework for the integrated planning of generation and transmission expansion in interconnected power systems," Applied Energy, Elsevier, vol. 170(C), pages 1-21.

    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:appene:v:184:y:2016:i:c:p:641-658. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.