| In recent years,with the vigorous development of the power industry,hydropower resources have been developed,people pay more and more attention to the safe and stable operation of hydropower units.Vibration is the primary factor affecting the stability of hydropower units,because the hydroelectric generating units in a load of regional output,the unit vibration becomes particularly intense,so units need to avoid the vibration zone operation,but the current water turbine vibration range is too large,a new method of establishing vibration zone is proposed.The wavelet transform is used to analyze the vibration signal of hydropower unit,and the gray scale is processed to calculate the gray level of the hydroelectric generating unit.Which is used to quantitatively characterize the strength of the vibration signal.Combined with a large number of stability test data of a power station in the lower reaches of the Lancang River in Yunnan Province,the dynamic vibration zone under different water heads is established and the calculation method and steps of the combined vibration zone are given.In addition,the safety of hydropower station is also a hot topic in the research of economic operation.In this paper,an Improved Particle Swarm Optimization(IPSO)algorithm is proposed,which is based on the basic particle swarm algorithm.The Improved Particle Swarm Optimization(IPSO)algorithm can not only maintain the population diversity,but also overcome the premature convergence of the traditional particle swarm optimization(PSO)algorithm and avoid the premature convergence of the particle into the local optimum.In addition,an improved technique based on the dynamic inertia weight strategy is used to make the particle jump out of the local optimal solution.Finally,based on the dynamic vibration region,the optimum distribution of the load in the plant is calculated and compared with the basic particle swarm optimization(PSO)method,and the effectiveness of the algorithm is analyzed. |
PDF Full Text Request