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Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

Author

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  • Xiuyun Wang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Jian Wang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Biyuan Tian

    (State Grid Urumqi Power Supply Company, Urumqi 830011, China)

  • Yang Cui

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Yu Zhao

    (State Grid Liaocheng Power Supply Company, Liaocheng 252000, China)

Abstract

As the low-carbon economy continues to expand, wind power, as one form of clean energy, promotes the low-carbon power development process. In this paper, a multi-objective environmental economic dispatch (EED) model is proposed considering multiple uncertainties of the system. Carbon trading costs and green certificate trading costs are introduced into the economic costs. Meanwhile, the objective function of pollutant emissions is taken into account in the model, which can further promote the reduction of pollutant emissions in the system scheduling. The output of wind turbines is uncertain and volatile, so it brings new challenges to the power system EED once the large-scale wind power accesses the power grid. For the multiple uncertainties of the system, fuzzy chance-constrained programming is introduced, and the output of the wind turbines and the load are regarded as fuzzy variables. We use the clear equivalence forms to clarify the fuzzy chance constraints. The improved multi-objective standard particle swarm optimization (SPSO) algorithm is used to solve the optimization problem effectively. The feasibility and effectiveness of the proposed model and algorithm are verified by an example of a 10-unit system with two wind farms.

Suggested Citation

  • Xiuyun Wang & Jian Wang & Biyuan Tian & Yang Cui & Yu Zhao, 2018. "Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints," Energies, MDPI, vol. 11(4), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:943-:d:141286
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    References listed on IDEAS

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    1. D’Amico, Guglielmo & Petroni, Filippo & Prattico, Flavio, 2015. "Economic performance indicators of wind energy based on wind speed stochastic modeling," Applied Energy, Elsevier, vol. 154(C), pages 290-297.
    2. Morthorst, P. E., 2000. "The development of a green certificate market," Energy Policy, Elsevier, vol. 28(15), pages 1085-1094, December.
    3. Azizipanah-Abarghooee, Rasoul & Golestaneh, Faranak & Gooi, Hoay Beng & Lin, Jeremy & Bavafa, Farhad & Terzija, Vladimir, 2016. "Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power," Applied Energy, Elsevier, vol. 182(C), pages 634-651.
    4. Amundsen, E.S. & Mortensen, J.B., 2001. "The Danish Green Certificate System: Some Simple Analytical Results," Norway; Department of Economics, University of Bergen 226, Department of Economics, University of Bergen.
    5. Azizipanah-Abarghooee, Rasoul & Niknam, Taher & Roosta, Alireza & Malekpour, Ahmad Reza & Zare, Mohsen, 2012. "Probabilistic multiobjective wind-thermal economic emission dispatch based on point estimated method," Energy, Elsevier, vol. 37(1), pages 322-335.
    6. Yuchong Huo & Ping Jiang & Yuan Zhu & Shuang Feng & Xi Wu, 2015. "Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties," Energies, MDPI, vol. 8(2), pages 1-21, February.
    7. Morshed, Mohammad Javad & Hmida, Jalel Ben & Fekih, Afef, 2018. "A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems," Applied Energy, Elsevier, vol. 211(C), pages 1136-1149.
    8. Amundsen, Eirik S. & Mortensen, Jorgen Birk, 2001. "The Danish Green Certificate System: some simple analytical results," Energy Economics, Elsevier, vol. 23(5), pages 489-509, September.
    9. Alham, M.H. & Elshahed, M. & Ibrahim, Doaa Khalil & Abo El Zahab, Essam El Din, 2016. "A dynamic economic emission dispatch considering wind power uncertainty incorporating energy storage system and demand side management," Renewable Energy, Elsevier, vol. 96(PA), pages 800-811.
    10. Emilio Gómez-Lázaro & María C. Bueso & Mathieu Kessler & Sergio Martín-Martínez & Jie Zhang & Bri-Mathias Hodge & Angel Molina-García, 2016. "Probability Density Function Characterization for Aggregated Large-Scale Wind Power Based on Weibull Mixtures," Energies, MDPI, vol. 9(2), pages 1-15, February.
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    Cited by:

    1. Guangyi Wu & Xiangxin Shao & Hong Jiang & Shaoxin Chen & Yibing Zhou & Hongyang Xu, 2020. "Control Strategy of the Pumped Storage Unit to Deal with the Fluctuation of Wind and Photovoltaic Power in Microgrid," Energies, MDPI, vol. 13(2), pages 1-23, January.
    2. Xiuyun Wang & Yibing Zhou & Junyu Tian & Jian Wang & Yang Cui, 2018. "Wind Power Consumption Research Based on Green Economic Indicators," Energies, MDPI, vol. 11(10), pages 1-24, October.
    3. Mengxuan Lv & Suhua Lou & Yaowu Wu & Miao Miao, 2018. "Unit Commitment of a Power System Including Battery Swap Stations Under a Low-Carbon Economy," Energies, MDPI, vol. 11(7), pages 1-13, July.

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