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Water Resources Management

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13.10.2023

A Long-Term Operational Scheme for Hybrid Hydro-Photovoltaic (PV) Systems that Considers the Uncertainties in Reservoir Inflow and Solar Radiation Based on Scenario Trees

verfasst von: Han Cao, Jun Qiu, Hui-Min Zuo, Fang-Fang Li

Erschienen in: Water Resources Management | Ausgabe 14/2023

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Abstract

Most available long-term operation models for hydropower stations use deterministic historical data as inputs but cannot be employed to update the decision scheme in real time according to the actual solar radiation and inflow conditions, resulting in a disconnect between the given plan and actual decision-making process. In this study, a multistage rolling reservoir decision model considering the uncertainties in solar radiation and inflow is proposed to guide the formulation of long-term operational schemes for hydro-PV systems. We adopt the solar radiation and inflow series generated by the scenario tree (ST) method as inputs of the reservoir optimal operation model and use a genetic algorithm (GA) to solve the model. In the solution process, the scheme is adjusted according to the actual solar radiation and inflow conditions. Typical wet, normal, and dry years are analysed. The results illustrate that the model can better inform the design of long-term operational schemes for hydro-PV stations relative to the actual operational scheme and the traditional deterministic model.

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An Y, Fang W, Ming B, Huang Q (2015) Theories and methodology of complementary hydro/photovoltaic operation: Applications to short-term scheduling. J Renew Sustain Energy 7(6). https://doi.org/10.1063/1.4939056

Beraldi P, De Simone F, Violi A (2010) Generating scenario trees: A parallel integrated simulation–optimization approach. J Comput Appl Math 233(9):2322–2331. https://doi.org/10.1016/j.cam.2009.10.017CrossRef

Chang J, Li Y, Yuan M, Wang Y (2017) Efficiency evaluation of hydropower station operation: A case study of Longyangxia station in the Yellow River, China. Energy 135:23–31. https://doi.org/10.1016/j.energy.2017.06.049CrossRef

Chen L, Singh VP, Lu W, Zhang J, Zhou J, Guo S (2016) Streamflow forecast uncertainty evolution and its effect on real-time reservoir operation. J Hydrol 540:712–726. https://doi.org/10.1016/j.jhydrol.2016.06.015CrossRef

de la Cruz Courtois OA, Arganis Juárez ML, Guichard Romero D (2021) Simulated optimal operation policies of a reservoir system obtained with continuous functions using synthetic inflows. Water Resour Manag 35:2249–2263. https://doi.org/10.1007/s11269-021-02841-3CrossRef

de Oliveira Costa Souza Rosa C, Costa KA, da Silva Christo E, Braga Bertahone P (2017) Complementarity of hydro, photovoltaic, and wind power in Rio de Janeiro State. Sustainability 9(7):1130. https://doi.org/10.3390/su9071130CrossRef

Ding X, Mo X, Zhou J, Bi S, Jia B, Liao X (2021a) Long-term scheduling of cascade reservoirs considering inflow forecasting uncertainty based on a disaggregation model. Water Resour Manag 35:645–660. https://doi.org/10.1007/s11269-020-02748-5CrossRef

Ding Z, Wen X, Tan Q, Yang T, Fang G, Lei X, ... Wang H (2021b) A forecast-driven decision-making model for long-term operation of a hydro-wind-photovoltaic hybrid system. Applied Energy 291:116820. https://doi.org/10.1016/j.apenergy.2021.116820CrossRef

El Harraki W, Ouazar D, Bouziane A, El Harraki I, Hasnaoui D (2021) Streamflow prediction upstream of a dam using SWAT and assessment of the impact of land use spatial resolution on model performance. Environ Process 8:1165–1186. https://doi.org/10.1007/s40710-021-00532-0CrossRef

Gülpınar N, Rustem B, Settergren R (2004) Simulation and optimization approaches to scenario tree generation. J Econ Dyn Control 28(7):1291–1315. https://doi.org/10.1016/S0165-1889(03)00113-1CrossRef

Høyland K, Wallace SW (2001) Generating scenario trees for multistage decision problems. Manag Sci 47(2):295–307. https://doi.org/10.1287/mnsc.47.2.295.9834CrossRef

Hydrological Yearbook (in Chinese) (n.d.)

Kang C, Chen C, Wang J (2018) An efficient linearization method for long-term operation of cascaded hydropower reservoirs. Water Resour Manag 32:3391–3404. https://doi.org/10.1007/s11269-018-1997-2CrossRef

Kaut M, Stein W (2003) Evaluation of scenario-generation methods for stochastic programming. Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik. http://www.ybook.co.jp/online-p/PJO/vol3/pjov3n2p257

Latorre JM, Cerisola S, Ramos A (2007) Clustering algorithms for scenario tree generation: Application to natural hydro inflows. Eur J Oper Res 181(3):1339–1353. https://doi.org/10.1016/j.ejor.2005.11.045CrossRef

Li FF, Qiu J (2016) Multi-objective optimization for integrated hydro–photovoltaic power system. Appl Energy 167:377–384. https://doi.org/10.1016/j.apenergy.2015.09.018CrossRef

Li FF, Qiu J, Wei JH (2018) Multiobjective optimization for hydro-photovoltaic hybrid power system considering both energy generation and energy consumption. Energy Sci Eng 6(5):362–370. https://doi.org/10.1002/ese3.202CrossRef

Li FF, Wu ZG, Wei JH, Qiu J (2020) Long-term equilibrium operational plan for hydro-PV hybrid power system considering benefits, stability, and tolerance. J Water Resour Plan Manag 146(8):05020012. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001248CrossRef

Li J, Zhu F, Xu B, Yeh WWG (2019a) Streamflow scenario tree reduction based on conditional Monte Carlo sampling and regularized optimization. J Hydrol 577:123943. https://doi.org/10.1016/j.jhydrol.2019.123943CrossRef

Li H, Liu P, Guo S, Ming B, Cheng L, Yang Z (2019b) Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization. Appl Energy 238:863–875. https://doi.org/10.1016/j.apenergy.2019.01.111CrossRef

Li H, Liu P, Guo S, Zuo Q, Cheng L, Tao J, ... Ming B (2022) Integrating teleconnection factors into long-term complementary operating rules for hybrid power systems: A case study of Longyangxia hydro-photovoltaic plant in China. Renew Energy 186:517–534. https://doi.org/10.1016/j.renene.2022.01.034CrossRef

Liu K, Hu W, Xu X, Huang Q, Zhang Z, Chen Z (2019) Optimized operation of photovoltaic and pumped hydro storage hybrid energy system in the electricity market. In 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) 4306–4311. IEEE. https://doi.org/10.1109/ISGT-Asia.2019.8881273

Menne MJ, Durre I, Korzeniewski B, McNeal S, Thomas K, Yin X, Houston TG (2012) Global historical climatology network-daily (GHCN-Daily), version 3. NOAA Natl Climatic Data Cent 10(10.7289):V5D21VHZ. https://doi.org/10.7289/V5D21VHZCrossRef

Ming B, Liu P, Cheng L, Zhou Y, Wang X (2018) Optimal daily generation scheduling of large hydro–photovoltaic hybrid power plants. Energy Convers Manag 171:528–540. https://doi.org/10.1016/j.enconman.2018.06.001CrossRef

Ming B, Liu P, Guo S, Zhang X, Feng M, Wang X (2017) Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long-and short-term operational decisions. Appl Energy 204:432–445. https://doi.org/10.1016/j.apenergy.2017.07.046CrossRef

Ming B, Liu P, Guo S, Cheng L, Zhang J (2019) Hydropower reservoir reoperation to adapt to large-scale photovoltaic power generation. Energy 179:268–279. https://doi.org/10.1016/j.energy.2019.04.209CrossRef

National Bureau of Statistics of China (2021) China Statistical Yearbook-2021. China Statistics Press, Beijing

Séguin S, Audet C, Côté P (2017) Scenario-tree modeling for stochastic short-term hydropower operations planning. J Water Resour Plan Manag 143(12):04017073. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000854CrossRef

Sun Y, Zhu F, Chen J, Li J (2018) Risk analysis for reservoir real-time optimal operation using the scenario tree-based stochastic optimization method. Water 10(5):606. https://doi.org/10.3390/w10050606CrossRef

Šutienė K, Makackas D, Pranevičius H (2010) Multistage k-means clustering for scenario tree construction. Informatica 21(1):123–138. https://doi.org/10.15388/Informatica.2010.27CrossRef

Tang W (2019) Daily average solar radiation dataset of 716 weather stations in China (1961–2010). Natl Tibet Plateau Data Cent. https://doi.org/10.11888/AtmosphericPhysics.tpe.249399.fileCrossRef

Wu X, Yin S, Cheng C, Chen Z, Su H (2023) SSDP model with inflow clustering for hydropower system operation. Water Resour Manag 37(3):1109–1123. https://doi.org/10.1007/s11269-022-03417-5CrossRef

Xu B, Zhong PA, Zambon RC, Zhao Y, Yeh WWG (2015) Scenario tree reduction in stochastic programming with recourse for hydropower operations. Water Resour Res 51(8):6359–6380. https://doi.org/10.1002/2014WR016828CrossRef

Yang Z, Liu P, Cheng L, Wang H, Ming B, Gong W (2018) Deriving operating rules for a large-scale hydro-photovoltaic power system using implicit stochastic optimization. J Clean Prod 195:562–572. https://doi.org/10.1016/j.jclepro.2018.05.154CrossRef

Yellow River Conservancy Commission of the Ministry of Water Resources (n.d.). http://www.yrcc.gov.cn/

Yuan W, Wang X, Su C, Cheng C, Liu Z, Wu Z (2021) Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming. Energy 222:119996. https://doi.org/10.1016/j.energy.2021.119996CrossRef

Zhang Y, Ma C, Yang Y, Pang X, Liu L, Lian J (2021) Study on short-term optimal operation of cascade hydro-photovoltaic hybrid systems. Applied Energy 291:116828. https://doi.org/10.1016/j.apenergy.2021.116828CrossRef

Zhu F, Zhong PA, Sun Y, Xu B, Ma Y, Liu W, ... Dawa J (2020) A coordinated optimization framework for long-term complementary operation of a large-scale hydro-photovoltaic hybrid system: Nonlinear modeling, multi-objective optimization and robust decision-making. Energy Convers Manag 226:113543. https://doi.org/10.1016/j.enconman.2020.113543CrossRef

Zhu Y, Huang W, Chen S, Ma G, Han XY (2021) Intra-day optimal operation strategy of hydro-PV hybrid system. Adv Eng Sci 53(3):142–149

Titel: A Long-Term Operational Scheme for Hybrid Hydro-Photovoltaic (PV) Systems that Considers the Uncertainties in Reservoir Inflow and Solar Radiation Based on Scenario Trees
verfasst von: Han Cao
Jun Qiu
Hui-Min Zuo
Fang-Fang Li
Publikationsdatum: 13.10.2023
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 14/2023
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-023-03609-7

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