Open AccessResearch on Economic Dispatch Optimization Model of Small Hydropower Group Considering Power Supply Cost
Author(s) -
Fei Liu,
Haining Zhang,
Yaling Sun,
Yongli Wang,
Xu Tian
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/446/4/042058
Subject(s) - economic dispatch , hydropower , simulated annealing , mathematical optimization , electricity generation , computer science , power grid , flood myth , electric power system , power (physics) , nonlinear programming , reliability engineering , engineering , nonlinear system , electrical engineering , mathematics , geography , physics , archaeology , quantum mechanics
Due to the large number of scattered small hydropower, disordered grid connection, unplanned power generation, and old equipment overvoltage, etc. It has brought great challenges to the power supply security of Sichuan Power Grid. Aiming at the minimum system power supply cost, the economic dispatch optimization of small hydropower groups within the system is realized. The nonlinear mixed integer 0-1 programming is solved by adaptive simulated annealing genetic algorithm. The results show that the total cost of power generation after the optimized power generation plan. It is lower than the cost of all the power stations in the flood season, further indicating that the scheduling optimization can effectively reduce the system power supply cost, and guide the Ya’an small hydropower group. Economic dispatch is of great significance.