Research on SVG DC-Side Voltage Control Based-on PSO Algorithm

Abstract

The operation flow of particle swarm optimization (PSO) is presented, at the same time the PSO algorithm and GA algorith m are used to find the optimal value of the standard function, simu lation results show that the PSO algorith m has better global search performance and faster search efficiency. The inertia weight decreasing strategy of PSO algorith m is studied, the simulation results show that the concave function decreasing strategy can accelerate the convergence rate of the algorithm. The stability control of the DC-side voltage is very important for the static var generator (SVG) co mpensation, but the disadvantages of the traditional PI control are fixed parameters and poor adaptability of dynamic response, PSO algorith m is introduced to the optimizat ion of PI parameters, so online PSO-PI control and off-line PSO-PI control are obtained, the SVG voltage loop transfer function is used as the controlled object. The simulat ion results show that the PSO-PI control can satisfy the time varying system of the controlled object with strong adaptability.

Illegal Sea Project Discovery Algorithm based on Hash Table and DBSCAN Algorithm

“…In the field of combining DBSCAN with deep learning, Zhang Bohan selected DTW similarity measurement algorithm and DBSCAN density clustering algorithm to cluster and extract ship normal trajectory, and improved DTW (Dynamic Time Warping) distance in the similarity measurement of ship trajectory [6]. Zhang Zhiyuan studied and analyzed several commonly used clustering algorithms, such as K-means algorithm and DBSCAN algorithm,and compared the advantages and disadvantages of each algorithm and application scenario s [7]Yu Gang improved the sample trajectory data extraction method by using Geohash coding and DBSCAN spatial clustering to deal with the spatial correlation between spatio-temporal trajectory points [8]Lu Xiao proposed two algorithms, consistent subspace clustering network and relation-guided subspace clustering network, based on subspace consistency assumption and local reservation constraint, and carried out experimental verification, and systematically compared related methods [9].…”

Optimal DTC Control Strategy of DFIG Using Variable Gain PI and Hysteresis Controllers Adjusted by PSO Algorithm

“…Where x k is the current position, x k+1 is a modified position, v k is current velocity, v k+1 is modified velocity. P best is the best solution observed by current particle and G best is the best solution of all particles, w is an inertia weight, c1 and c2 are two positive constants, and r 1 , r 2 are the random number [28]. The following inertia weight is used by Eq.…”

“…Where k max , k are the maximum number of iterations and the current number of iterations, respectively. w min and w max are the minima and maximum weights respectively [28].…”