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Mixed integer programming approach to optimal short-term unit commitment for hydropower systems
Unit commitment problem is a complex decision-making process which involves the scheduling of generators over a set of time periods to satisfy system load demand, water demand, system reliability, operational, and security constraints. Mathematically, this is a nonlinear, nonconvex, high dimensional, and large-scale optimization problem over mixed integer variables. Additionally, for a short-term unit commitment problem such as hourly or daily scheduling of generators, the operator needs to run the model in realtime. The operator should have immediate access to information concerning which units should be operated when emergency situations arise or how to schedule around planned maintenance of units. Mixed integer programming (MIP) model is developed to solve the unit commitment problem. The MIP model developed in this study consists of three sub-models: PLANT-DY-W, PLANT-GO-W, and PLANT-ST-W. It provides generation control tool that regulates the hydropower system while improving powerplants efficiency. Also, it automates and improves the unit schedule process for the powerplants. To demonstrate the capabilities of the unit commitment models a case study was carried out on a hydropower system in Lower Colorado River Basin.
Mixed integer programming approach to optimal short-term unit commitment for hydropower systems
Unit commitment problem is a complex decision-making process which involves the scheduling of generators over a set of time periods to satisfy system load demand, water demand, system reliability, operational, and security constraints. Mathematically, this is a nonlinear, nonconvex, high dimensional, and large-scale optimization problem over mixed integer variables. Additionally, for a short-term unit commitment problem such as hourly or daily scheduling of generators, the operator needs to run the model in realtime. The operator should have immediate access to information concerning which units should be operated when emergency situations arise or how to schedule around planned maintenance of units. Mixed integer programming (MIP) model is developed to solve the unit commitment problem. The MIP model developed in this study consists of three sub-models: PLANT-DY-W, PLANT-GO-W, and PLANT-ST-W. It provides generation control tool that regulates the hydropower system while improving powerplants efficiency. Also, it automates and improves the unit schedule process for the powerplants. To demonstrate the capabilities of the unit commitment models a case study was carried out on a hydropower system in Lower Colorado River Basin.
Mixed integer programming approach to optimal short-term unit commitment for hydropower systems
KSCE J Civ Eng
Yi, Jaeeung (author)
KSCE Journal of Civil Engineering ; 2 ; 335-346
1998-09-01
12 pages
Article (Journal)
Electronic Resource
English
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