Methods on scheduling of hydro-photovoltaic complementary system

Fan, Huiying; Yan, Tianxiao; Guo, Shu-Guang

doi:10.1051/e3sconf/202125701034

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Hydro-photovoltaic complementarity can mainly enhance the grid's ability to consume PV and the stability of the system (Li et al, 2020;Wei et al, 2022), because the regulating ability of the hydropower station can compensate for the volatility, intermittency and randomness of PV output, and using the abundant energy of PV energy can compensate for the shortcomings of the seasonal peaking power of hydropower (Huang et al, 2020;Fan et al, 2021;Gu et al, 2022). This section is intended to analyze the potential for daily hydro-photovoltaic complementarity of YHS in terms of the characteristics of its hydropower and PV output.…”

Section: Analysis Of the Possibility Of Hydrophotovoltaic Complementa...mentioning

confidence: 99%

Research on hydro-photovoltaic complementary analysis of Yangfanggou hydropower station on Yalong River

He,

Yin,

Liang

et al. 2024

Front. Energy Res.

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Hydropower and photovoltaic power are widely used as clean energy sources around the world. Hydro-Photovoltaic complementary is precisely the use of the regulation performance of hydropower stations and the peak regulation performance of PV electric fields to improve the system’s power generation efficiency. The Yalong River basin as one of China’s clean energy bases, is rich in water and light resources. And now its midstream Yangfanggou hydropower station has just been completed, and the relevant PV electric field is in the construction planning stage. It is worth studying how to effectively utilize its hydropower and PV output resources. Therefore, Yangfanggou hydropower station and its PV electric field are taken as the research objects in this paper. The possibility of hydro-photovoltaic complementarity is analyzed within the year and day respectively. Then, a short-term scheduling model of hydro-photovoltaic complementarity is constructed according to the principle, and its operation mode and effect are optimized using the genetic algorithm NSGA-II. The results indicate that the annual power generation of the system is increased by about 1.4 billion kWh from the original hydropower through the hydro-photovoltaic complementary, and the annual guaranteed output is also increased with a large increase degree at the same time.

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Section: Analysis Of the Possibility Of Hydrophotovoltaic Complementa...mentioning

confidence: 99%

Research on hydro-photovoltaic complementary analysis of Yangfanggou hydropower station on Yalong River

He,

Yin,

Liang

et al. 2024

Front. Energy Res.

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“…Abundant achievements have been accumulated in hydro‐photovoltaic (PV) complementary systems to determine the optimal scheduling. In a recently published review article, In [7], the theory and optimal scheduling results of hydro‐PV complementary systems are briefly analyzed. Given uncertainties in renewable energy systems, especially wind power and PV power, the study of [8] divides the scheduling methods into three levels, namely prediction, day‐ahead scheduling, and real‐time scheduling.…”

Section: Introductionmentioning

confidence: 99%

A data‐driven scheduling approach for integrated electricity‐hydrogen system based on improved DDPG

Zhao

Huang

et al. 2023

IET Renewable Power Gen

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The involvement of hydrogen energy systems has been recognised as a promising way to mitigate climate problems. As a kind of efficient multi‐energy complementary system, the hydropower‐photovoltaic‐hydrogen (HPH) system could be an ideal approach to combining hydrogen with an installed renewable energy system to improve the flexibility of energy management and reduce power curtailment. However, the intra‐day scheduling of HPH system brings challenges due to the time‐related nonlinear hydropower generation process, the complex energy conversion process and the uncertain natural resource supply. Faced with these challenges, an improved deep deterministic policy gradient (DDPG)‐based data‐driven scheduling algorithm is proposed. In contrast to the prevalent DDPG, two sets of actor‐critic networks are properly designed based on prior knowledge‐based deep neural networks for the considered complex uncertain system to search for near‐optimal policies and approximate actor‐value functions. In addition, customized reward functions are proposed with the consideration of interactions among different energy supplies, which helps to improve convergence speed and stability. Finally, the case study results demonstrate that the proposed system model and the optimal energy management strategy based on the improved DDPG algorithm can guide the electricity‐hydrogen system to achieve rapid response and more reasonable energy management.

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Methods on scheduling of hydro-photovoltaic complementary system

Cited by 2 publications

References 4 publications

Research on hydro-photovoltaic complementary analysis of Yangfanggou hydropower station on Yalong River

Research on hydro-photovoltaic complementary analysis of Yangfanggou hydropower station on Yalong River

A data‐driven scheduling approach for integrated electricity‐hydrogen system based on improved DDPG

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