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Dynamic environmental economic dispatch of hybrid renewable energy systems based on tradable green certificates

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  • Li, Xiaozhu
  • Wang, Weiqing
  • Wang, Haiyun
  • Wu, Jiahui
  • Fan, Xiaochao
  • Xu, Qidan

Abstract

China is accelerating the formulation of a renewable portfolio standard to promote the development and utilization of renewable energy. The implementation of the standard and corresponding tradable green certificates will change the scheduling procedures of thermal power and other renewable energy generators in the electric power system. This paper formulates a multi-objective dynamic economic emission dispatch model for wind-solar-hydro power under tradable green certificates. Weibull, Beta and Gumbel distributions are used to simulate the random behavior of wind, solar and hydro power, respectively, thus taking into account the overestimation and underestimation costs caused by the randomness of renewable energy. Moreover, a new multi-objective moth-flame optimization (MOMFO) based solution is proposed according to the characteristics of the dispatch model. The MOMFO is based on the external elite reservation and Pareto dominance. To improve the search capability, the strategy of average entropy initialization, Lévy flight and variable scale chaotic strategy are introduced. A heuristic dynamic relaxation method is proposed, which is used to handle the complex constraints of the model. Finally, the feasibility of the proposed scheduling model and the effectiveness of the algorithm are illustrated using examples of different scheduling situations based on IEEE 39-bus standard system.

Suggested Citation

  • Li, Xiaozhu & Wang, Weiqing & Wang, Haiyun & Wu, Jiahui & Fan, Xiaochao & Xu, Qidan, 2020. "Dynamic environmental economic dispatch of hybrid renewable energy systems based on tradable green certificates," Energy, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:energy:v:193:y:2020:i:c:s0360544219323941
    DOI: 10.1016/j.energy.2019.116699
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    References listed on IDEAS

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    Cited by:

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    9. Ahmed I. Omar & Ziad M. Ali & Mostafa Al-Gabalawy & Shady H. E. Abdel Aleem & Mujahed Al-Dhaifallah, 2020. "Multi-Objective Environmental Economic Dispatch of an Electricity System Considering Integrated Natural Gas Units and Variable Renewable Energy Sources," Mathematics, MDPI, vol. 8(7), pages 1-37, July.
    10. Yu, Xianyu & Ge, Shengxian & Zhou, Dequn & Wang, Qunwei & Chang, Ching-Ter & Sang, Xiuzhi, 2022. "Whether feed-in tariff can be effectively replaced or not? An integrated analysis of renewable portfolio standards and green certificate trading," Energy, Elsevier, vol. 245(C).
    11. Xu, Jiuping & Yang, Guocan & Wang, Fengjuan & Shu, Kejing, 2022. "A provincial renewable portfolio standards-based distribution strategy for both power plant and user: A case study from Guangdong, China," Energy Policy, Elsevier, vol. 165(C).
    12. Liu, Zhi-Feng & Li, Ling-Ling & Liu, Yu-Wei & Liu, Jia-Qi & Li, Heng-Yi & Shen, Qiang, 2021. "Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach," Energy, Elsevier, vol. 235(C).
    13. Qun Niu & Ming You & Zhile Yang & Yang Zhang, 2021. "Economic Emission Dispatch Considering Renewable Energy Resources—A Multi-Objective Cross Entropy Optimization Approach," Sustainability, MDPI, vol. 13(10), pages 1-33, May.
    14. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.
    15. Li, Xiaozhu & Wang, Weiqing & Wang, Haiyun, 2021. "A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China," Energy, Elsevier, vol. 228(C).
    16. Oleksandr Sabishchenko & Rafał Rębilas & Norbert Sczygiol & Mariusz Urbański, 2020. "Ukraine Energy Sector Management Using Hybrid Renewable Energy Systems," Energies, MDPI, vol. 13(7), pages 1-20, April.
    17. Hu, Yu & Chi, Yuanying & Zhao, Hao & Zhou, Wenbing, 2022. "The development of renewable energy industry under renewable portfolio standards: From the perspective of provincial resource differences," Energy Policy, Elsevier, vol. 170(C).

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