The invention discloses a pumped storage
power station governor parameter optimization method and
system, and relates to the technical field of pumped storage
power station control, and the method comprises the steps: constructing a multi-dimensional
evaluation system, and defining seven indexes of a unit safety class, a rotating speed response class and a power response class, which are used for comprehensively evaluating the
power regulation performance; based on historical operation data of the
power station, the
occurrence probability of each initial working condition and load change is counted,
a weighting factor matrix is generated, and weight contributions of high-frequency and extreme working conditions to an optimization target are quantified; and parameter optimization and
decision making: simulating the performance of different
speed regulator parameter combinations (KP = 0.1-1.9, KI = 0.1-0.7) under 30 typical working conditions by adopting a water-electro-mechanical
coupling model, carrying out normalization and comprehensive scoring on
simulation results based on a
TOPSIS algorithm, and screening a parameter scheme with the highest total
score. According to the method, the problems of single index and insufficient working condition adaptability in parameter selection of a traditional
speed regulator can be solved, and collaborative improvement of unit safety and regulation stability is realized through multi-dimensional evaluation and probability-driven optimization.