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A Coordinated Dispatching Model Considering Generation and Operation Reserve in Wind Power-Photovoltaic-Pumped Storage System

Author

Listed:
  • Dai Cui

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 100084, China
    State Grid Liaoning Electric Power Co., Ltd., Shenyang 100084, China)

  • Fei Xu

    (Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

  • Weichun Ge

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 100084, China
    State Grid Liaoning Electric Power Co., Ltd., Shenyang 100084, China)

  • Pengxiang Huang

    (College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China)

  • Yunhai Zhou

    (College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China)

Abstract

Large-scale grid integration of renewable energy increases the uncertainty and volatility of power systems, which brings difficulties to output planning and reserve decision-making of power system units. In this paper, we innovatively combined the non-parametric kernel density estimation method and scenario method to describe the uncertainty of renewable energy outputs, and obtained a representative set of renewable energy output scenarios. In addition, we proposed a new method to determine the reserve capacity demand. Further, we derived the quantitative relationship between the reserve demand and the power system reliability index, which was used as the constraint condition of a day-ahead power generation dispatch. Finally, a coordinated dispatching model of power generation and reserve was established, which had the lowest penalty for curtailment of wind power and photovoltaic, as well as the lowest total operating cost for thermal power units, gas power units, and pumped storage power station. By simulating three different working conditions, the proposed model was compared with the traditional deterministic model. Results showed that our proposed method significantly improved system efficiency while maintaining system reliability.

Suggested Citation

  • Dai Cui & Fei Xu & Weichun Ge & Pengxiang Huang & Yunhai Zhou, 2020. "A Coordinated Dispatching Model Considering Generation and Operation Reserve in Wind Power-Photovoltaic-Pumped Storage System," Energies, MDPI, vol. 13(18), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4834-:d:414183
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    References listed on IDEAS

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    Cited by:

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    2. Liu, Jicheng & Lu, Yunyuan, 2023. "A task matching model of photovoltaic storage system under the energy blockchain environment - based on GA-CLOUD-GS algorithm," Energy, Elsevier, vol. 283(C).
    3. Xian Yang & Ye Cai & Yijia Cao & Shaowei Duan & Liang Tang & Zhijian Jia, 2022. "The Semi-Scheduling Mode of Multi-Energy System Considering Risk–Utility in Day-Ahead Market," Energies, MDPI, vol. 15(21), pages 1-15, November.
    4. Siripha Junlakarn & Radhanon Diewvilai & Kulyos Audomvongseree, 2022. "Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation," Energies, MDPI, vol. 15(14), pages 1-27, July.

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