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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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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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