A New Peak-Shaving Model Based on Mixed Integer Linear Programming with Variable Peak-Shaving Order

Peak-shaving is a very efficient and practical strategy for a day-ahead hydropower scheduling in power systems, usually aiming to appropriately schedule hourly (or in less time interval) power generations of individual plants so as to smooth the load curve while enforcing the energy production targe...

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Vydané v:Energies (Basel) Ročník 14; číslo 4; s. 887
Hlavní autori: Cheng, Xianliang, Feng, Suzhen, Huang, Yanxuan, Wang, Jinwen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.02.2021
Predmet:
Alternative energy sources
Electric power
Electricity distribution
Energy resources
Hydroelectric power
Lancang hydropower cascade
Linear programming
Load
Mathematical programming
mixed integer linear programming (MILP)
Optimization
peak-shaving
Power plants
Scheduling
short-term scheduling
ISSN:1996-1073, 1996-1073
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Abstract Peak-shaving is a very efficient and practical strategy for a day-ahead hydropower scheduling in power systems, usually aiming to appropriately schedule hourly (or in less time interval) power generations of individual plants so as to smooth the load curve while enforcing the energy production target of each plant. Nowadays, the power marketization and booming development of renewable energy resources are complicating the constraints and diversifying the objectives, bringing challenges for the peak-shaving method to be more flexible and efficient. Without a pre-set or fixed peak-shaving order of plants, this paper formulates a new peak-shaving model based on the mixed integer linear programming (MILP) to solve the scheduling problem in an optimization way. Compared with the traditional peak-shaving methods that need to determine the order of plants to peak-shave the load curve one by one, the present model has better flexibility as it can handle the plant-based operating zones and prioritize the constraints and objectives more easily. With application to six cascaded hydropower reservoirs on the Lancang River in China, the model is tested efficient and practical in engineering perspective.
AbstractList Peak-shaving is a very efficient and practical strategy for a day-ahead hydropower scheduling in power systems, usually aiming to appropriately schedule hourly (or in less time interval) power generations of individual plants so as to smooth the load curve while enforcing the energy production target of each plant. Nowadays, the power marketization and booming development of renewable energy resources are complicating the constraints and diversifying the objectives, bringing challenges for the peak-shaving method to be more flexible and efficient. Without a pre-set or fixed peak-shaving order of plants, this paper formulates a new peak-shaving model based on the mixed integer linear programming (MILP) to solve the scheduling problem in an optimization way. Compared with the traditional peak-shaving methods that need to determine the order of plants to peak-shave the load curve one by one, the present model has better flexibility as it can handle the plant-based operating zones and prioritize the constraints and objectives more easily. With application to six cascaded hydropower reservoirs on the Lancang River in China, the model is tested efficient and practical in engineering perspective.
Author Cheng, Xianliang
Feng, Suzhen
Wang, Jinwen
Huang, Yanxuan
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SubjectTerms Alternative energy sources
Electric power
Electricity distribution
Energy resources
Hydroelectric power
Lancang hydropower cascade
Linear programming
Load
Mathematical programming
mixed integer linear programming (MILP)
Optimization
peak-shaving
Power plants
Scheduling
short-term scheduling
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Title A New Peak-Shaving Model Based on Mixed Integer Linear Programming with Variable Peak-Shaving Order
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