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Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system

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  • Wang, Zizhao
  • Wu, Feng
  • Li, Yang
  • Shi, Linjun
  • Lee, Kwang Y.
  • Wu, Jiawei

Abstract

The complementary operation of cascade hydropower (CHP) and photovoltaic (PV) can increase the integration of PV power and has become a trend in modern power systems. However, the randomness and variability of PV power output might cause challenges in precisely tracking the submitted generation plan of the CHP-PV complementary system. The safety and stability of the receiving-end power grid might deteriorate. In this paper, a multi-time scale dispatch framework with day-ahead and intra-day dispatch is established for the CHP-PV complementary system to address the PV uncertainties. The day-ahead dispatch is employed to provide reliable reference results and sufficient adjustment reservations for the intra-day dispatch. An Itô-theory-based stochastic optimization (ITB-SO) approach is proposed for the intra-day dispatch by modeling the PV prediction error with stochastic differential equations (SDE). The SDE model can be embedded into the ITB-SO approach without scenario generation, and thus computational burden can be significantly reduced compared with scenario-based methods. A complementary system in southwest China is chosen as a detailed case study. The simulation results demonstrate that real-time random PV fluctuations could be compensated by adjusting CHPs. Meanwhile, the target water level of cascade reservoirs can be tracked under the proposed approach.

Suggested Citation

  • Wang, Zizhao & Wu, Feng & Li, Yang & Shi, Linjun & Lee, Kwang Y. & Wu, Jiawei, 2023. "Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system," Renewable Energy, Elsevier, vol. 202(C), pages 127-142.
  • Handle: RePEc:eee:renene:v:202:y:2023:i:c:p:127-142
    DOI: 10.1016/j.renene.2022.11.038
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    References listed on IDEAS

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    1. Zhiwei Li & Tianran Jin & Shuqiang Zhao & Jinshan Liu, 2018. "Power System Day-Ahead Unit Commitment Based on Chance-Constrained Dependent Chance Goal Programming," Energies, MDPI, vol. 11(7), pages 1-20, July.
    2. Catherine Mitchell, 2016. "Momentum is increasing towards a flexible electricity system based on renewables," Nature Energy, Nature, vol. 1(2), pages 1-6, February.
    3. Tan, Qiaofeng & Wen, Xin & Sun, Yuanliang & Lei, Xiaohui & Wang, Zhenni & Qin, Guanghua, 2021. "Evaluation of the risk and benefit of the complementary operation of the large wind-photovoltaic-hydropower system considering forecast uncertainty," Applied Energy, Elsevier, vol. 285(C).
    4. Xianxun Wang & Lihua Chen & Qijuan Chen & Yadong Mei & Hao Wang, 2018. "Model and Analysis of Integrating Wind and PV Power in Remote and Core Areas with Small Hydropower and Pumped Hydropower Storage," Energies, MDPI, vol. 11(12), pages 1-24, December.
    5. Yuan, Wenlin & Wang, Xinqi & Su, Chengguo & Cheng, Chuntian & Liu, Zhe & Wu, Zening, 2021. "Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming," Energy, Elsevier, vol. 222(C).
    6. Li, He & Liu, Pan & Guo, Shenglian & Ming, Bo & Cheng, Lei & Yang, Zhikai, 2019. "Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization," Applied Energy, Elsevier, vol. 238(C), pages 863-875.
    7. Su, Chengguo & Cheng, Chuntian & Wang, Peilin & Shen, Jianjian & Wu, Xinyu, 2019. "Optimization model for long-distance integrated transmission of wind farms and pumped-storage hydropower plants," Applied Energy, Elsevier, vol. 242(C), pages 285-293.
    8. Shen, Jianjian & Cheng, Chuntian & Wu, Xinyu & Cheng, Xiong & Li, Weidong & Lu, Jianyu, 2014. "Optimization of peak loads among multiple provincial power grids under a central dispatching authority," Energy, Elsevier, vol. 74(C), pages 494-505.
    9. Guo, Yi & Ming, Bo & Huang, Qiang & Wang, Yimin & Zheng, Xudong & Zhang, Wei, 2022. "Risk-averse day-ahead generation scheduling of hydro–wind–photovoltaic complementary systems considering the steady requirement of power delivery," Applied Energy, Elsevier, vol. 309(C).
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