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Modeling and Solution Techniques Used for Hydro Generation Scheduling

Institute of Hydropower and Hydro informatics, Dalian University of Technology, Dalian 116024, China
Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian 116024, China
School of Civil Engineering, Dalian University of Technology, Dalian 116024, China
Author to whom correspondence should be addressed.
Water 2019, 11(7), 1392;
Received: 15 June 2019 / Revised: 2 July 2019 / Accepted: 3 July 2019 / Published: 6 July 2019
(This article belongs to the Section Hydraulics)
PDF [739 KB, uploaded 8 July 2019]


The hydro generation scheduling problem has a unit commitment sub-problem which deals with start-up/shut-down costs related hydropower units. Hydro power is the only renewable energy source for many countries, so there is a need to find better methods which give optimal hydro scheduling. In this paper, the different optimization techniques like lagrange relaxation, augmented lagrange relaxation, mixed integer programming methods, heuristic methods like genetic algorithm, fuzzy logics, nonlinear approach, stochastic programming and dynamic programming techniques are discussed. The lagrange relaxation approach deals with constraints of pumped storage hydro plants and gives efficient results. Dynamic programming handles simple constraints and it is easily adaptable but its major drawback is curse of dimensionality. However, the mixed integer nonlinear programming, mixed integer linear programming, sequential lagrange and non-linear approach deals with network constraints and head sensitive cascaded hydropower plants. The stochastic programming, fuzzy logics and simulated annealing is helpful in satisfying the ramping rate, spinning reserve and power balance constraints. Genetic algorithm has the ability to obtain the results in a short interval. Fuzzy logic never needs a mathematical formulation but it is very complex. Future work is also suggested. View Full-Text
Keywords: hydropower; scheduling; techniques; constraints; programming and solving hydropower; scheduling; techniques; constraints; programming and solving

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Parvez, I.; Shen, J.; Khan, M.; Cheng, C. Modeling and Solution Techniques Used for Hydro Generation Scheduling. Water 2019, 11, 1392.

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