Feasibility Improved Stochastic Dynamic Programming for Optimization of Reservoir Operation
Stochastic Dynamic Programming (SDP) is a major method for optimizing reservoir operation. Handling non-linear, non-convex and non-differentiable objective functions and constraints are some advantages of SDP. Besides the mentioned advantages, this method suffers drawbacks like infeasibility. Infeas...
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| Veröffentlicht in: | Water resources management 2019-08, Vol.33 (10), p.3485-3498 |
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| creator | Saadat, Mohsen Asghari, Keyvan |
| description | Stochastic Dynamic Programming (SDP) is a major method for optimizing reservoir operation. Handling non-linear, non-convex and non-differentiable objective functions and constraints are some advantages of SDP. Besides the mentioned advantages, this method suffers drawbacks like infeasibility. Infeasibility occurs in SDP naturally because of discretization process and random combination of state variable values. The main idea in this paper is to mitigate the infeasibility drawback in SDP by properly adjusting the reservoir volume interval indices. These indices are determined based on the continuity equation and meeting the monthly minimum release so that some infeasible policies are transformed to feasible ones. Simulation of reservoir operation for 60-year planning period indicates an improvement up to 30% in objective function by employing the proposed technique in a case study. |
| doi_str_mv | 10.1007/s11269-019-02315-7 |
| format | Article |
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Handling non-linear, non-convex and non-differentiable objective functions and constraints are some advantages of SDP. Besides the mentioned advantages, this method suffers drawbacks like infeasibility. Infeasibility occurs in SDP naturally because of discretization process and random combination of state variable values. The main idea in this paper is to mitigate the infeasibility drawback in SDP by properly adjusting the reservoir volume interval indices. These indices are determined based on the continuity equation and meeting the monthly minimum release so that some infeasible policies are transformed to feasible ones. 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| subjects | Atmospheric Sciences Civil Engineering Continuity equation Dynamic programming Earth and Environmental Science Earth Sciences Environment Feasibility Feasibility studies Geotechnical Engineering & Applied Earth Sciences Handling Hydrogeology Hydrology/Water Resources Objective function Optimization Reservoir operation State variable |
| title | Feasibility Improved Stochastic Dynamic Programming for Optimization of Reservoir Operation |
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