Research on Joint Impoundment Dispatching Model for Cascade Reservoir

As more and more large reservoirs been built, competitive impoundment problem of cascade reservoirs becomes a serious matter in the flood recession. Combining the impounding principle with K value discriminant method, a novel impounding strategy of cascade reservoirs is proposed for determining the impoundment sequence and opportunity of each reservoir in premise of the flood control safety. At the same time, the impounding water level control lines of different frequency runoff are drawn according to the flood routing simulation, and then the Impounding Operation Chart (IOC) is manufactured. On this basis, a model of impoundment dispatching in advance based on the IOC is developed. Then the proposed method can be obviously accelerated by using Self-adaptive Electromagnetism-like Mechanism algorithm (SEM). Compared with the original design of impounding scheme, the result indicates that the optimal scheme can improve the fill storage ratio of cascade reservoirs and ease the contradiction between supply and demand of water resources as well with guaranteeing the safety of flood control in the watershed.

[1]  LI Yi-tian.  Study on the impounding time and objective decision of the Three Gorges Project at the end of flood period , 2003 .

[2]  Yinghai Li,et al.  Dynamic Application and Risk Analysis of Flood Control Water Level to the Three Gorges Reservoir by Utilizing Mid-Term Inflow Forecasts , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[3]  Yu Li,et al.  Joint Operation and Dynamic Control of Flood Limiting Water Levels for Cascade Reservoirs , 2013, Water Resources Management.

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

[5]  J. Yazdi,et al.  Optimal design of flood-control multi-reservoir system on a watershed scale , 2012, Natural Hazards.

[6]  Pan Liu,et al.  Deriving Optimal Refill Rules for Multi-Purpose Reservoir Operation , 2011 .

[7]  Reza Tavakkoli-Moghaddam,et al.  A novel hybrid approach combining electromagnetism-like method with Solis and Wets local search for continuous optimization problems , 2009, J. Glob. Optim..

[8]  Dilini Delgoda,et al.  Multiple Model Predictive Flood Control in Regulated River Systems with Uncertain Inflows , 2013, Water Resources Management.

[9]  C.-H. Kao,et al.  Multi-objective inventory control using electromagnetism-like meta-heuristic , 2008 .

[10]  V. Singh,et al.  Multiple duration limited water level and dynamic limited water level for flood control, with implications on water supply , 2008 .

[11]  Sharad K. Jain,et al.  Optimal Operation of a Multi-Purpose Reservoir Using Neuro-Fuzzy Technique , 2009 .

[12]  P Me.  A METHOD OF COMPENSATED REGULATION CALCULATION FOR A GROUP OF HYDROPOWER STATIONS—IMPROVED CRITERION FOR MULA METHOD , 1991 .

[13]  Yong Peng,et al.  Risk analysis of dynamic control of reservoir limited water level by considering flood forecast error , 2011 .

[14]  Mukand S. Babel,et al.  A Model for Optimal Allocation of Water to Competing Demands , 2005 .

[15]  J. Windsor.  Optimization model for the operation of flood control systems , 1973 .

[16]  Deng Jin-yun.  Preliminary study on impounding water of Three Gorges Project in September , 2006 .

[17]  Pan Liu,et al.  Flood season segmentation based on the probability change-point analysis technique , 2010 .

[18]  Shu-Cherng Fang,et al.  An Electromagnetism-like Mechanism for Global Optimization , 2003, J. Glob. Optim..

[19]  Hao Wang,et al.  Multi-Objective Parameter Calibration and Multi-Attribute Decision-Making: An Application to Conceptual Hydrological Model Calibration , 2014, Water Resources Management.