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Development mode for renewable energy power in China: Electricity pool and distributed generation units

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  • Zhang, Ou
  • Yu, Shunkun
  • Liu, Pingkuo

Abstract

Distributed generation (DG) units can provide approaches and methodologies for the utilization and development of renewable energy. Meanwhile, electricity pool (EP), as a mode which can adapt to China’s energy and power market, can effectively promote the market competition. After analyzing China’s energy and power market, this paper, combining characteristics of distributed generation units with electricity pool, proposes Base–Market–Assist (BMA) in the pool mode. BMA mode not only makes a rational division according to China energy resources’ endowment, but also utilizes agent operators to conduct operation management of distributed generation units, providing new methods for China renewable energy development in aspects of technology, market and policy.

Suggested Citation

  • Zhang, Ou & Yu, Shunkun & Liu, Pingkuo, 2015. "Development mode for renewable energy power in China: Electricity pool and distributed generation units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 657-668.
    • Handle: RePEc:eee:rensus:v:44:y:2015:i:c:p:657-668
    DOI: 10.1016/j.rser.2015.01.020
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    Citations

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    Cited by:

    1. Pingkuo, Liu & Zhongfu, Tan, 2016. "How to develop distributed generation in China: In the context of the reformation of electric power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 10-26.
    2. Ibrahim, Thamir k. & Mohammed, Mohammed Kamil & Awad, Omar I. & Rahman, M.M. & Najafi, G. & Basrawi, Firdaus & Abd Alla, Ahmed N. & Mamat, Rizalman, 2017. "The optimum performance of the combined cycle power plant: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 459-474.
    3. Fang Yan & Kaili Xu, 2017. "Application of a Cloud Model-Set Pair Analysis in Hazard Assessment for Biomass Gasification Stations," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-17, January.
    4. Yu, Hongwei & Duan, Jinhui & Du, Wei & Xue, Song & Sun, Jinghui, 2017. "China's energy storage industry: Develop status, existing problems and countermeasures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 767-784.
    5. Fan, Xiao-chao & Wang, Wei-qing & Shi, Rui-jing & Li, Feng-ting, 2015. "Analysis and countermeasures of wind power curtailment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1429-1436.
    6. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Renewable-to-total electricity consumption ratio: Estimating the permanent or transitory fluctuations based on flexible Fourier stationarity and unit root tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1409-1427.
    7. Wang, Qiang & Kwan, Mei-Po & Fan, Jie & Zhou, Kan & Wang, Ya-Fei, 2019. "A study on the spatial distribution of the renewable energy industries in China and their driving factors," Renewable Energy, Elsevier, vol. 139(C), pages 161-175.
    8. Fang Yan & Kaili Xu & Xiwen Yao & Yang Li, 2016. "Fuzzy Bayesian Network-Bow-Tie Analysis of Gas Leakage during Biomass Gasification," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-21, July.
    9. 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.
    10. Zeng, Ming & Yang, Yongqi & Wang, Lihua & Sun, Jinghui, 2016. "The power industry reform in China 2015: Policies, evaluations and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 94-110.
    11. Maheshwari, Mayank & Singh, Onkar, 2020. "Thermo-economic analysis of combined cycle configurations with intercooling and reheating," Energy, Elsevier, vol. 205(C).
    12. Xu, Fangqiu & Liu, Jicheng & Lin, Shuaishuai & Dai, Qiongjie & Li, Cunbin, 2018. "A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China," Energy, Elsevier, vol. 163(C), pages 585-603.
    13. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
    14. Fang Yan & Kaili Xu & Deshun Li & Zhikai Cui, 2017. "A novel hazard assessment method for biomass gasification stations based on extended set pair analysis," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-21, September.
    15. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.

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