Open AccessResearch on the Hydropower Coupling-Based Hydropower Station Scheduling Optimization Model
Author(s) -
Liming Xia,
Yanmei Zhu,
Chunyang Lai,
Huang Weibin,
Shijun Chen,
Jinlong Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012140
Subject(s) - hydropower , particle swarm optimization , scheduling (production processes) , schedule , mathematical optimization , operations research , electricity generation , computer science , power (physics) , reliability engineering , engineering , mathematics , electrical engineering , quantum mechanics , physics , operating system
In order to improve hydropower availability and give full play to its power generation capacity, it is of great significance to set up a feasible and efficient scheduling optimization model. Based on the hydropower output match relation, the coupling factor and coupling are put forward. These two notions will be taken as the restriction condition. The hydropower station scheduling optimization model has been established by taking the minimal deviation of fulfillment of sales objective as the target function. Based on example of Dagangshan hydropower station in the Dadu River area, the model algorithm of particle swarm optimization algorithm is used for validation. According to the empirical study, the model doesn't produce discarded water during power generation, compared with the comparison schedule. Besides, it has more daily power output and smaller deviation of daily sales target power generation, which can effectively guide the economic operation of Dagangshan hydropower station.