A multi-reservoir based water-hydroenergy management model for identifying the risk horizon of regional resources-energy policy under uncertainties

作者：Zeng, X. T.; Zhang, S. J.; Feng, J.; Huang, G. H.^*; Li, Y. P.; Zhang, P.; Chen, J. P.; Li, K. L.

来源：Energy Conversion and Management, 2017, 143: 66-84.

DOI：10.1016/j.enconman.2017.02.020

• A multi-reservoir system
• Water allocation and hydroenergy
• generation (WAHG)
• Stochastic-fuzzy programming
• A risk control method (RAM)
• Hyper-concentration river basin
• Uncertainties

In this study, a multi-reservoir based water-hydroenergy management (MWH) model is developed for planning water allocation and hydroenergy generation (WAHG) under uncertainties. A mixed fuzzy-stochastic risk analysis method (MFSR) is introduced to handle objective and subjective uncertainties in MWH model, which can couple fuzzy credibility programming and risk management within a general two-stage context, with aim to reflect the infeasibility risks between expected targets and random second-stage recourse costs. The developed MWH model (embedded by MFSR method) can be applied to a practical study of WAHG issue in Jing River Basin (China), which encounters conflicts between human activity and resource/energy crisis. The construction of water-energy nexus (WEN) is built to reflect integrity of economic development and resource/energy conservation, as well as confronting natural and artificial damages such as water deficit, electricity insufficient, floodwater, high sedimentation deposition contemporarily. Meanwhile, the obtained results with various credibility levels and target-violated risk levels can support generating a robust plan associated with risk control for identification of the optimized water-allocation and hydroenergy-generation alternatives, as well as flood controls. Moreover, results can be beneficial for policymakers to discern the optimal water/sediment release routes, reservoirs' storage variations (impacted by sediment deposition), electricity supply schedules and system benefit plans with an effective/sustainable manner.

• 出版日期2017-7-1
• 单位黑龙江省水利科学研究院; 首都经济贸易大学; 中国水利水电科学研究院; 北京师范大学