Effect of the quality of streamflow forecasts on the operation of cascade hydropower stations using stochastic optimization models

[1]  F. Zhu,et al.  Scenario‐Based Multiobjective Robust Optimization and Decision‐Making Framework for Optimal Operation of a Cascade Hydropower System Under Multiple Uncertainties , 2022, Water Resources Research.

[2]  Chang-ming Ji,et al.  Quantifying streamflow predictive uncertainty for the optimization of short-term cascade hydropower stations operations , 2021, Journal of Hydrology.

[3]  Pan Liu,et al.  Identifying the effect of forecast uncertainties on hybrid power system operation: A case study of Longyangxia hydro–photovoltaic plant in China , 2021 .

[4]  G. Thirel,et al.  Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs – a conceptual approach , 2021, Hydrology and Earth System Sciences.

[5]  Yufeng Wang,et al.  Multi-objective short-term hydropower generation operation for cascade reservoirs and stochastic decision making under multiple uncertainties , 2020 .

[6]  Chun-tian Cheng,et al.  Short-term generation scheduling of cascade hydropower plants with strong hydraulic coupling and head-dependent prohibited operating zones , 2020 .

[7]  Jianzhong Zhou,et al.  A fast water level optimal control method based on two stage analysis for long term power generation scheduling of hydropower station , 2020 .

[8]  Juan Chen,et al.  Short-term stochastic optimization of a hydro-wind-photovoltaic hybrid system under multiple uncertainties , 2020, Energy Conversion and Management.

[9]  Yanwei Zhao,et al.  A reservoir operation method that accounts for different inflow forecast uncertainties in different hydrological periods , 2020 .

[10]  Jianshi Zhao,et al.  Hydraulic Potential Energy Model for Hydropower Operation in Mixed Reservoir Systems , 2020, Water Resources Research.

[11]  Xin Wen,et al.  Bayesian Stochastic Dynamic Programming for Hydropower Generation Operation Based on Copula Functions , 2020, Water Resources Management.

[12]  Jie Li,et al.  Short-term optimal operation of wind-solar-hydro hybrid system considering uncertainties , 2020 .

[13]  Pascal Côté,et al.  Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management , 2019, Hydrology and Earth System Sciences.

[14]  Chuntian Cheng,et al.  An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids , 2018, Energy.

[15]  V. Singh,et al.  Risk analysis of flood control reservoir operation considering multiple uncertainties , 2018, Journal of Hydrology.

[16]  Jianzhong Zhou,et al.  Credibility theory based panoramic fuzzy risk analysis of hydropower station operation near the boundary , 2018, Journal of Hydrology.

[17]  Zhiqiang Jiang,et al.  Runoff forecast uncertainty considered load adjustment model of cascade hydropower stations and its application , 2018, Energy.

[18]  Zhong-kai Feng,et al.  Multi-stage progressive optimality algorithm and its application in energy storage operation chart optimization of cascade reservoirs , 2018 .

[19]  Jery R. Stedinger,et al.  Generating Synthetic Streamflow Forecasts with Specified Precision , 2018 .

[20]  William W.-G. Yeh,et al.  Real‐Time Optimal Flood Control Decision Making and Risk Propagation Under Multiple Uncertainties , 2017 .

[21]  S. Galelli,et al.  Complex relationship between seasonal streamflow forecast skill and value in reservoir operations , 2017 .

[22]  Chuntian Cheng,et al.  Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling , 2017 .

[23]  Liping Wang,et al.  Study on optimization of the short-term operation of cascade hydropower stations by considering output error , 2017 .

[24]  Jianzhong Zhou,et al.  Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties , 2017, Water Resources Management.

[25]  Ioannis G. Tsoulos,et al.  PDoublePop: An implementation of parallel genetic algorithm for function optimization , 2016, Comput. Phys. Commun..

[26]  Nursel Öztürk,et al.  A genetic algorithm for minimizing energy consumption in warehouses , 2016 .

[27]  V. Singh,et al.  Streamflow forecast uncertainty evolution and its effect on real-time reservoir operation , 2016 .

[28]  N. Zmijewski,et al.  Hydrograph variances over different timescales in hydropower production networks , 2016 .

[29]  Andrea Castelletti,et al.  Value of long‐term streamflow forecasts to reservoir operations for water supply in snow‐dominated river catchments , 2016 .

[30]  Robert Leconte,et al.  Comparison of Stochastic Optimization Algorithms for Hydropower Reservoir Operation with Ensemble Streamflow Prediction , 2016 .

[31]  James C. Bennett,et al.  Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model , 2015 .

[32]  Wei Xu,et al.  A two stage Bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts , 2014 .

[33]  Jianshi Zhao,et al.  Joint and respective effects of long- and short-term forecast uncertainties on reservoir operations , 2014 .

[34]  Hao Wang,et al.  Generalized martingale model of the uncertainty evolution of streamflow forecasts , 2013 .

[35]  Ximing Cai,et al.  Effect of streamflow forecast uncertainty on real-time reservoir operation , 2010 .

[36]  Pan Liu,et al.  Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty , 2010 .

[37]  P. P. Mujumdar,et al.  A Bayesian Stochastic Optimization Model for a Multi-Reservoir Hydropower System , 2007 .

[38]  André Turgeon,et al.  Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach , 2005 .

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

[40]  A. Georgakakos,et al.  Assessment of Folsom Lake response to historical and potential future climate scenarios: 2. Reservoir management , 2001 .

[41]  Sharon A. Johnson,et al.  The Value of Hydrologic Information in Stochastic Dynamic Programming Models of a Multireservoir System , 1995 .

[42]  Haralambos V. Vasiliadis,et al.  Bayesian stochastic optimization of reservoir operation using uncertain forecasts , 1992 .

[43]  Jery R. Stedinger,et al.  A generalized maintenance of variance extension procedure for extending correlated series , 1989 .

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

[45]  Q. Tan,et al.  Long-term optimal operation of cascade hydropower stations based on the utility function of the carryover potential energy , 2020 .

[46]  Richard N. Palmer,et al.  Decision Support System for Optimizing Reservoir Operations Using Ensemble Streamflow Predictions , 2011 .

[47]  Dennis P. Lettenmaier,et al.  Potential Effects of Long-Lead Hydrologic Predictability on Missouri River Main-Stem Reservoirs* , 2004 .