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Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources

Author

Listed:
  • Jiawei Feng

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Junyou Yang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Haixin Wang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Huichao Ji

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Martin Onyeka Okoye

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Jia Cui

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Weichun Ge

    (State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110004, China)

  • Bo Hu

    (State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110004, China)

  • Gang Wang

    (Power Science Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China)

Abstract

The volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain disturbances. Firstly, the flexibility of a high-penetration RE integrated power system is analyzed. The flexibility margin of power supply and flexible adaptability of RE are then introduced as the evaluation indices for optimal operation. Finally, a multi-objective optimal dispatch model for power system flexibility enhancement based on FRs under the constraint of flexibility indices is proposed. The simulation results show that the proposed optimal dispatch can effectively enhance the flexibility of the power system and the penetration of RE and reduce pollutant emissions. Compared with the conventional method, the daily average emissions of CO 2 , SO 2 , and NO x with the proposed method are reduced by about 83,600 kg, 870 kg, and 370 kg, respectively, the maximum allowable volatility of net load is increased by 7.63%, and the average volatility of net load is reduced by 2.67%.

Suggested Citation

  • Jiawei Feng & Junyou Yang & Haixin Wang & Huichao Ji & Martin Onyeka Okoye & Jia Cui & Weichun Ge & Bo Hu & Gang Wang, 2020. "Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources," Energies, MDPI, vol. 13(13), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3456-:d:380126
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    References listed on IDEAS

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    1. Weidong Li & Tie Li & Haixin Wang & Jian Dong & Yunlu Li & Dai Cui & Weichun Ge & Junyou Yang & Martin Onyeka Okoye, 2019. "Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response," Energies, MDPI, vol. 12(5), pages 1-18, March.
    2. Wang, Haixin & Yang, Junyou & Chen, Zhe & Li, Gen & Liang, Jun & Ma, Yiming & Dong, Henan & Ji, Huichao & Feng, Jiawei, 2020. "Optimal dispatch based on prediction of distributed electric heating storages in combined electricity and heat networks," Applied Energy, Elsevier, vol. 267(C).
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    Cited by:

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    2. Handrea Bernando Tambunan & Dzikri Firmansyah Hakam & Iswan Prahastono & Anita Pharmatrisanti & Andreas Putro Purnomoadi & Siti Aisyah & Yonny Wicaksono & I Gede Ryan Sandy, 2020. "The Challenges and Opportunities of Renewable Energy Source (RES) Penetration in Indonesia: Case Study of Java-Bali Power System," Energies, MDPI, vol. 13(22), pages 1-22, November.

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