Open AccessAn improved particle swarm optimization algorithm for the three gorges project operation optimization
Author(s) -
Yu Tian,
Simin Geng,
Z B Zhang,
S H Zhang,
Y T Ye
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/612/1/012001
Subject(s) - particle swarm optimization , multi swarm optimization , mathematical optimization , three gorges , metaheuristic , meta optimization , centroid , derivative free optimization , simplex algorithm , computer science , imperialist competitive algorithm , algorithm , mathematics , engineering , linear programming , artificial intelligence , geotechnical engineering
The paper presents an algorithm combining simplex downhill search particle swarm optimization (SDSPSO) for solving reservoir operation optimization (ROO) problems, with a new search strategy: reflecting the worst particle through the particle swarm centroid to generate a new particle and guiding the evolution direction of each particle. The ROO problem is a complicated dynamically constrained nonlinear, non-convex optimization problem that is important for reservoir operation system, consisting of continuous control variables. The proposed algorithm is examined on Three Gorges Project (TGP) that provided a better operational effect result with greater effectiveness and obtains more power generation with lower insurance rate reservoir sum runoff.