Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization

Abstract The complementary operation of hydro-photovoltaic (PV) hybrid power plants has become important in the modern power systems. However, the strong variations involved in the streamflow and PV generation lead to uncertainties in the complementary operations. To improve the long-term complementary operation performance of a large-scale hydro-PV hybrid power plant, this study developed long-term stochastic optimization methods that simultaneously consider the uncertainty of the streamflow and PV power output. A multi-objective optimization model was established to maximize the total energy production and guaranteed rate. The model was then solved using stochastic dynamic programming to obtain the operation decisions (carryover storage), which are functions of the initial storage, streamflow, and PV output. Finally, four schemes for deriving the operation rules were constructed: (1) stochastic optimization of the hydropower station directly plus PV output, (2) stochastic optimization of the hydro-PV hybrid power plant considering stochastic streamflow and deterministic PV output, (3) stochastic optimization of the hydro-PV hybrid power plant considering independent stochastic streamflow and PV output, and (4) stochastic optimization of the hydro-PV hybrid power plant considering correlative stochastic streamflow and PV output. The proposed methods were applied to the Longyangxia hydro-PV hybrid power plant in Qinghai province, China, which is the largest hydro-PV plant in the world. The performance of the four schemes was compared across calibration and validation periods. The results show that: (1) the complementarity of hydropower and PV power in long-term operations is highly necessary, (2) considering the uncertainty of stochastic streamflow and PV output simultaneously improves the efficiency of complementary operations, and (3) stochastic optimization of the hydro-PV hybrid power plant considering the independent stochastic streamflow and PV output gives the best performance in this particular case study. Specifically, compared to conventional operations, the total generation and total guaranteed rate could be increased by 3.18% and 10.63%, respectively, in the calibration period, and by 6.66% and 22.92%, respectively, in the validation period. Thus, the proposed stochastic optimization method is helpful in improving the long-term complementary operation of large-scale hydro-PV hybrid power plants.

[1]  A. Tiwary,et al.  Trade-offs between economic and environmental performance of an autonomous hybrid energy system using micro hydro , 2018, Applied Energy.

[2]  V. Klemeš.  Discrete representation of storage for stochastic reservoir optimization , 1977 .

[3]  Lei Cheng,et al.  Optimal daily generation scheduling of large hydro–photovoltaic hybrid power plants , 2018, Energy Conversion and Management.

[4]  Arno Krenzinger,et al.  A method to evaluate the effect of complementarity in time between hydro and solar energy on the performance of hybrid hydro PV generating plants , 2012 .

[5]  Yuan An,et al.  Theories and methodology of complementary hydro/photovoltaic operation: Applications to short-term scheduling , 2015 .

[6]  Hongxing Yang,et al.  Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization , 2015 .

[7]  Jure Margeta,et al.  Optimal sizing of Photovoltaic-hydro Power Plant , 2009 .

[8]  John W. Labadie,et al.  Optimal Operation of Multireservoir Systems: State-of-the-Art Review , 2004 .

[9]  Sandip Deshmukh,et al.  Modeling of hybrid renewable energy systems , 2008 .

[10]  Jun Qiu,et al.  Multi-objective optimization for integrated hydro–photovoltaic power system , 2016 .

[11]  D. E. Rheinheimer,et al.  Parameter uncertainty analysis of reservoir operating rules based on implicit stochastic optimization. , 2014 .

[12]  Bo Ming,et al.  Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long- and short-term operational decisions , 2017 .

[13]  Chao Deng,et al.  Deriving adaptive operating rules of hydropower reservoirs using time‐varying parameters generated by the EnKF , 2017 .

[14]  Chuntian Cheng,et al.  Stochastic dynamic programming for hydropower reservoir operations with multiple local optima , 2018, Journal of Hydrology.

[15]  Getachew Bekele,et al.  Feasibility Study of Small Hydro/PV/Wind Hybrid System for off Grid Rural Electrification in Ethiopia , 2012 .

[16]  Pan Liu,et al.  Evaluating the marginal utility principle for long-term hydropower scheduling , 2015 .

[17]  B. F. Sule,et al.  Stochastic dynamic programming models for reservoir operation optimization , 1984 .

[18]  Shengwei Mei,et al.  Distributionally robust hydro-thermal-wind economic dispatch , 2016 .

[19]  He Li,et al.  Robust hydroelectric unit commitment considering integration of large-scale photovoltaic power: A case study in China , 2018, Applied Energy.

[20]  Marco Borga,et al.  Increasing climate-related-energy penetration by integrating run-of-the river hydropower to wind/solar mix , 2016 .

[21]  B. Bose,et al.  Global Warming: Energy, Environmental Pollution, and the Impact of Power Electronics , 2010, IEEE Industrial Electronics Magazine.

[22]  Amaro O. Pereira,et al.  An optimal mix of solar PV, wind and hydro power for a low-carbon electricity supply in Brazil , 2016 .

[23]  Pan Liu,et al.  A two-stage method of quantitative flood risk analysis for reservoir real-time operation using ensemble-based hydrologic forecasts , 2014, Stochastic Environmental Research and Risk Assessment.

[24]  Hao Wang,et al.  Improved multi-objective model and analysis of the coordinated operation of a hydro-wind-photovoltaic system , 2017 .

[25]  He Li,et al.  Hybrid Two-Stage Stochastic Methods Using Scenario-Based Forecasts for Reservoir Refill Operations , 2018 .

[26]  M. Borga,et al.  Complementarity between solar and hydro power: Sensitivity study to climate characteristics in Northern-Italy , 2015 .

[27]  Jure Margeta,et al.  Theoretical settings of photovoltaic-hydro energy system for sustainable energy production , 2012 .

[28]  Shuai Zhang,et al.  Short-Term Optimal Operation of a Wind-PV-Hydro Complementary Installation: Yalong River, Sichuan Province, China , 2018 .

[29]  Amaury Tilmant,et al.  A stochastic approach to analyze trade‐offs and risks associated with large‐scale water resources systems , 2007 .

[30]  Pan Liu,et al.  Optimal design of seasonal flood limited water levels and its application for the Three Gorges Reservoir , 2015 .

[31]  Thomas Huld,et al.  A methodology for optimization of the complementarity between small-hydropower plants and solar PV systems , 2016 .

[32]  Abdullah Abusorrah,et al.  Optimal Interconnection Planning of Community Microgrids With Renewable Energy Sources , 2017, IEEE Transactions on Smart Grid.

[33]  Luis Alberto Rodríguez-Picón,et al.  Reliability analysis for electronic devices using beta-Weibull distribution , 2017, Qual. Reliab. Eng. Int..

[34]  J. Paska,et al.  Hybrid power systems – An effective way of utilising primary energy sources , 2009 .

[35]  Bartłomiej Ciapała,et al.  Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird , 2017 .

[36]  Chuntian Cheng,et al.  Operation challenges for fast-growing China's hydropower systems and respondence to energy saving and emission reduction , 2012 .

[37]  Naveed Arshad,et al.  Investor focused placement and sizing of photovoltaic grid-connected systems in Pakistan , 2017, Renewable Energy.

[38]  Chao Xu,et al.  Parametric analysis of a hybrid solar concentrating photovoltaic/concentrating solar power (CPV/CSP) system , 2017 .

[39]  M. Karamouz,et al.  COMPARISON OF STOCHASTIC AND DETERMINISTIC DYNAMIC PROGRAMMING FOR RESERVOIR OPERATING RULE GENERATION1 , 1987 .

[40]  Ramesh C. Bansal,et al.  A review of key power system stability challenges for large-scale PV integration , 2015 .

[41]  Jie Yang,et al.  Optimal sizing of utility-scale photovoltaic power generation complementarily operating with hydropower: A case study of the world’s largest hydro-photovoltaic plant , 2017 .

[42]  Pierre-Olivier Malaterre,et al.  Effective Streamflow Process Modeling for Optimal Reservoir Operation Using Stochastic Dual Dynamic Programming , 2017 .

[43]  Jun Qiu,et al.  Multiobjective optimization for hydro‐photovoltaic hybrid power system considering both energy generation and energy consumption , 2018, Energy Science & Engineering.

[44]  Hao Wang,et al.  Deriving operating rules for a large-scale hydro-photovoltaic power system using implicit stochastic optimization , 2018, Journal of Cleaner Production.

[45]  Jery R. Stedinger,et al.  Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts , 2001 .

[46]  Bartosz Kaźmierczak,et al.  Large scale complementary solar and wind energy sources coupled with pumped-storage hydroelectricity for Lower Silesia (Poland) , 2018, Energy.

[47]  J. Stedinger,et al.  Sampling stochastic dynamic programming applied to reservoir operation , 1990 .

[48]  Danijel Pavković,et al.  A methodology for normal distribution-based statistical characterization of long-term insolation by means of historical data , 2015 .

[49]  Katalin Bódis,et al.  Assessing complementarity of wind and solar resources for energy production in Italy. A Monte Carlo approach , 2014 .

[50]  Bo Ming,et al.  Improving Optimization Efficiency for Reservoir Operation Using a Search Space Reduction Method , 2017, Water Resources Management.

[51]  Ponnuthurai Nagaratnam Suganthan,et al.  Optimal power flow solutions incorporating stochastic wind and solar power , 2017 .

[52]  Felipe M. Pimenta,et al.  Complementarity of Brazil׳s hydro and offshore wind power , 2016 .

[53]  Kelly Alonso Costa,et al.  Complementarity of Hydro, Photovoltaic, and Wind Power in Rio de Janeiro State , 2017 .

[54]  G. K. Young.  Finding Reservoir Operating Rules , 1967 .

[55]  Yunting Song,et al.  A review on China׳s large-scale PV integration: Progress, challenges and recommendations , 2016 .

[56]  Pan Liu,et al.  Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs , 2011 .

[57]  Kornelis Blok,et al.  Cost-optimal electricity systems with increasing renewable energy penetration for islands across the globe , 2018, Applied Energy.

[58]  Yang Zhang,et al.  Battery sizing and rule-based operation of grid-connected photovoltaic-battery system : A case study in Sweden , 2017 .