Capacity configuration of hydropower-PV complementary station that is robust to the inter-annual variability in streamflow and PV energy

Conventional methods for sizing variable renewable energy (VRE) capacity integrated into hydropower are fed with several typical weather days or a single weather year dataset, which reduce computational complexity while neglecting the inter-annual variability of VRE and streamflow and yielding potentially unreliable results. This study proposes a novel tractable long-term model at hourly resolution to investigate the potential of hydro–VRE complementary operation for load following, reliable electricity supplying and to size the VRE capacity integrated into the hydropower stations . This methodology was applied to an actual hydropower-photovoltaic (PV) complementary station in China. We found that (1) PV capacity integrated into the hydropower is highly sensitive to the inter-annual variability of streamflow and PV energy; the PV capacity sized based on single-year-simulation ranges from 446 MW to 725 MW. (2) The PV deployment capacity based on 12-year-simulation is 510 MW. Compared with the PV deployment capacities based on single-year-simulation, it enables better hydropower-PV complementary load following performances and an average increase of 2.06 × 10 5 MWh in the annual electricity supply.

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Publication Details

Journal
Renewable Energy
Published
2025-04-14
DOI
https://doi.org/10.1016/j.renene.2025.123163
Citations
4
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
2.92

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article

Capacity configuration of hydropower-PV complementary station that is robust to the inter-annual variability in streamflow and PV energy

Yifei Zheng, Chuntian Cheng, Juntao Zhang, Hui Cao et al.
4 citations
Renewable Energy
Integrated Energy Systems Optimization
2.92
article

Capacity configuration of hydropower-PV complementary station that is robust to the inter-annual variability in streamflow and PV energy

Yifei Zheng, Chuntian Cheng, Juntao Zhang, Hui Cao, Yuqi Yang
article en
4 citations

Abstract

Conventional methods for sizing variable renewable energy (VRE) capacity integrated into hydropower are fed with several typical weather days or a single weather year dataset, which reduce computational complexity while neglecting the inter-annual variability of VRE and streamflow and yielding potentially unreliable results. This study proposes a novel tractable long-term model at hourly resolution to investigate the potential of hydro–VRE complementary operation for load following, reliable electricity supplying and to size the VRE capacity integrated into the hydropower stations . This methodology was applied to an actual hydropower-photovoltaic (PV) complementary station in China. We found that (1) PV capacity integrated into the hydropower is highly sensitive to the inter-annual variability of streamflow and PV energy; the PV capacity sized based on single-year-simulation ranges from 446 MW to 725 MW. (2) The PV deployment capacity based on 12-year-simulation is 510 MW. Compared with the PV deployment capacities based on single-year-simulation, it enables better hydropower-PV complementary load following performances and an average increase of 2.06 × 10 5 MWh in the annual electricity supply.

Renewable EnergyVol. 248
Dalian University of Technology (CN)
National Natural Science Foundation of China, National Postdoctoral Program for Innovative Talents
Affordable and clean energy
Openalex Percentile: Top 9%
Integrated Energy Systems Optimization
2.92
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Capacity configuration of hydropower-PV complementary station that is robust to the inter-annual variability in streamflow and PV energy — Yifei Zheng, Chuntian Cheng, et al. · Renewable Energy (2025) | TGRS Research Map | TGRS