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Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties

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  • Liu Yuan

    (Huazhong University of Science and Technology)

  • Jianzhong Zhou

    (Huazhong University of Science and Technology)

Abstract

Uncertainties of inflow and temporary power instructions always make it intractable to make decisions in real-time short term hydropower operation. To deal with the problems caused by uncertainties and realize self-optimization for real-time short term hydropower operation, relevant measurement indexes are firstly discussed and deduced. Then the self-optimization system dynamics simulation of real-time short term cascade hydropower system is developed by taking advantages of feedback loops in system dynamics simulation. Finally, the proposed self-optimization system dynamics simulation model is illustrated in Shuibuya-Geheyan-Gaobazhou cascade hydropower system on Qing River in China. Three typical scenarios are analyzed and different dispatching strategies are simulated in feedback loops. The results indicate that system dynamics simulation is an effective way to simulate a complex cascade hydropower system with feedback and causal loops. Moreover, it makes a contribution to making up a daily schedule and making decisions in real-time short time operation. Also, operation rules can be extracted for the cascade dispatching center by SD simulation.

Suggested Citation

  • Liu Yuan & Jianzhong Zhou, 2017. "Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2127-2140, May.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:7:d:10.1007_s11269-017-1628-3
    DOI: 10.1007/s11269-017-1628-3
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    Cited by:

    1. He, Zhongzheng & Zhou, Jianzhong & Xie, Mengfei & Jia, Benjun & Bao, Zhengfeng & Qin, Hui & Zhang, Hairong, 2019. "Study on guaranteed output constraints in the long term joint optimal scheduling for the hydropower station group," Energy, Elsevier, vol. 185(C), pages 1210-1224.
    2. Xinyi Zhang & Guohua Fang & Jian Ye & Jin Liu & Xin Wen & Chengjun Wu, 2022. "Risk Control in Optimization of Cascade Hydropower: Considering Water Abandonment Risk Probability," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    3. He, Zhongzheng & Wang, Chao & Wang, Yongqiang & Wei, Bowen & Zhou, Jianzhong & Zhang, Hairong & Qin, Hui, 2021. "Dynamic programming with successive approximation and relaxation strategy for long-term joint power generation scheduling of large-scale hydropower station group," Energy, Elsevier, vol. 222(C).
    4. Ali Thaeer Hammid & Omar I. Awad & Mohd Herwan Sulaiman & Saraswathy Shamini Gunasekaran & Salama A. Mostafa & Nallapaneni Manoj Kumar & Bashar Ahmad Khalaf & Yasir Amer Al-Jawhar & Raed Abdulkareem A, 2020. "A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems," Energies, MDPI, vol. 13(11), pages 1-21, June.
    5. Liu Yuan & Jianzhong Zhou & Zijun Mai & Yuanzheng Li, 2017. "Random Fuzzy Optimization Model for Short-Term Hydropower Scheduling Considering Uncertainty of Power Load," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2713-2728, July.

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