Optimization Algorithms For Large-Scale Multireservior Hydropower Systems

1.Introduction 1.1Problem Statement 1.2System Engineering In Water Resources Management 1.3The Roles Of Planning And Operation In Water Resources Management 1.4Study Objectives 1.5Contributions 2.Literature Review 2.1Dynamic Programming 2.2LinearProgramming 2.3Nonlinear Programming 2.4Optimal Control Theory 2.5Conclutions Of Literature Review 3.Theory And Problem Formulation 3.1Selection Of Optimization Algorithms 3.2problem Formulation 3.3.1Incremental dynamic Programming 3.3.2Successive Linear Programming 3.3.3Feasible Direction Method 3.3.4Optimal Control Theory 3.3.5Objective-Space Dynamic Programming 4.Numerical Studies Of algorithms 4.1Selection Of Numerical Problem 4.2General Description Of The Five-Resevior Problem 4.3Criteria Of Evaluation 4.4Numerical Studies 4.4.1 Solution By Incremental Dynamic Programming 4.4.2Solution By Successive Linear Programming 4.4.3Solution By Feasible Direction Method 4.4.4Solution By Optimal Control Theory 4.4.5Solution By Objective-Space dynamic Programming 4.5Comperative Evaluation Of Optimization Algorithms 4.5.1Accuracy Of Solution 4.5.2Computer Time And Memory Requirements 4.5.3Smothness Of State and Release Trajectories 4.5.4Rate Of Convergence 4.5.5Robustness Of Algorithms 4.5.6Routing Time Lags 4.5.7Closes-loop Policies 4.5.8Extension To Studies Of Larger System 4.6Selecting Algorithms For Case Study Case Study Project 5.1General Background Of The Mahaweli Project 5.2Current Management and Operation Practices 5.3Problem Formulation And Data Collection 5.4Optimization Results By Successive Linear Programming 5.5Optimization Results By Feasible Direction Method 5.6Optimization Results By Optimal Control Theory 5.7Evaluation Of Results 5.8Other Considerations And Final Remarks 6.Summary,Conclusions And Recommendations 6.1Summary Of finding 6.2Conclusions 6.3Recomendations For Future Resaerch

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