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Dual-Stage Optimization Scheduling Model for a Grid-Connected Renewable Energy System with Hybrid Energy Storage

Author

Listed:
  • Di Lu

    (Powerchina Huadong Engineering Corporation, Hangzhou 310030, China)

  • Yonggang Peng

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Jing Sun

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

Abstract

To operate the grid-connected renewable energy system economically, this study presents a dual-stage optimization scheduling model for grid-connected systems with hybrid energy storage, including day-ahead and intra-days stages. In the day-ahead stage, an economically optimal scheduling model is developed, considering the price peak-to-valley difference. This model aims to enhance the economic efficiency of the system by utilizing hybrid energy storage. In the intra-day stage, more accurate renewable energy forecasts with a shorter time scale are considered. The objectives are to minimize the curtailment rate of renewable energy and to track the day-ahead scheduling outcomes. The NSGA-II algorithm is employed for multi-objective optimization, achieving equilibrium solutions considering multiple optimization objectives. Compared to other published works, the proposed model achieves a balance between different optimization objectives, enabling the system to operate economically and stably. It provides a comprehensive approach to optimize the scheduling of grid-connected systems with hybrid energy storage by considering both economic and operational aspects. Overall, this proposed dual-stage optimization model presents a viable approach to improve economic efficiency and mitigate renewable energy curtailment in grid-connected systems. By effectively integrating renewable energy sources and optimizing their utilization, this model contributes to enhancing the sustainability and optimal operation of the power grid.

Suggested Citation

  • Di Lu & Yonggang Peng & Jing Sun, 2024. "Dual-Stage Optimization Scheduling Model for a Grid-Connected Renewable Energy System with Hybrid Energy Storage," Energies, MDPI, vol. 17(3), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:737-:d:1333072
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    References listed on IDEAS

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