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A Day-Ahead Economic Dispatch Method for Renewable Energy Systems Considering Flexibility Supply and Demand Balancing Capabilities

Author

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  • Zheng Yang

    (Central China Branch of State Grid Corporation of China, Wuhan 430077, China)

  • Wei Xiong

    (Central China Branch of State Grid Corporation of China, Wuhan 430077, China)

  • Pengyu Wang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Nuoqing Shen

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Siyang Liao

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

Abstract

The increase in new energy grid connections has reduced the supply-side regulation capability of the power system. Traditional economic dispatch methods are insufficient for addressing the flexibility limitations in the system’s balancing capabilities. Consequently, this study presents a day-ahead scheduling method for renewable energy systems that balances flexibility and economy. This approach establishes a dual-layer optimized scheduling model. The upper-layer model focuses on the economic efficiency of unit start-up and shut-down, utilizing a particle swarm algorithm to identify unit combinations that comply with minimum start-up and shut-down time constraints. In contrast, the lower-layer model addresses the dual uncertainties of generation and load. It employs the Generalized Polynomial Chaos approximation to create an opportunity-constrained model aimed at minimizing unit generation and curtailment costs while maximizing flexibility supply capability. Additionally, it calculates the probability of flexibility supply-demand insufficiency due to uncertainties in demand response resource supply and system operating costs, providing feedback to the upper-layer model. Ultimately, through iterative solutions of the upper and lower models, a day-ahead scheduling plan that effectively balances flexibility and economy is derived. The proposed method is validated using a simulation of the IEEE 30-bus system case study, demonstrating its capability to balance system flexibility and economy while effectively reducing the risk of insufficient supply-demand balance.

Suggested Citation

  • Zheng Yang & Wei Xiong & Pengyu Wang & Nuoqing Shen & Siyang Liao, 2024. "A Day-Ahead Economic Dispatch Method for Renewable Energy Systems Considering Flexibility Supply and Demand Balancing Capabilities," Energies, MDPI, vol. 17(21), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5427-:d:1510383
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    References listed on IDEAS

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