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

Xianliang Cheng, Suzhen Feng, Yanxuan Huang and Jinwen Wang
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Xianliang Cheng: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Suzhen Feng: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yanxuan Huang: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Jinwen Wang: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2021, vol. 14, issue 4, 1-15

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.

Keywords: peak-shaving; short-term scheduling; mixed integer linear programming (MILP); Lancang hydropower cascade (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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