Accurate estimation of modern power system harmonics using a novel LSA hybridized recursive least square technique

摘要

This paper purposes a new type of hybrid techniquedepends on lightning search algorithm (LSA) andrecursive least square (RLS) named as LSA-RLS to overcomethe harmonic estimation issues in time varyingmodern power system signals buried with noises. LSA isbased on a natural phenomenon of lightning. It consists ofthree types of projectiles: transition, space and lead projectiles.Transition projectiles create population, spaceprojectiles do the exploration and the lead projectiles dothe work of exploitation and find the optimal solution. Thebasic LSA algorithm is mixed with RLS algorithm in anadaptive way to estimate the states of the harmonic signals.Simulation and validation are made with real time dataobtained from a converter fed D.C motor drive. The efficacyof the proposed algorithm is verified by comparing thesimulation results of recently reported algorithms such asparticle swarm optimization (PSO), differential evolution(DE), bacteria foraging optimization (BFO), gravity searchalgorithm hybridized recursive least square method(GSA-RLS). It is verified that proposed (LSA-RLS) techniqueis the best in terms of computational time, convergence,accuracy.