Application of computational methods for harmonic state estimation of power system networks

Abstract

<span>In this study, a novel technique is used to estimate the power system harmonic state, as one of the biggest risks in a power system network. Nonlinear loads are widely used, which inject harmonics into a system. Such injected harmonics make networks unstable and increase power loss. The main objective of this work is to develop a new harmonic state estimator system to increase power system accuracy, stability and the wall operation state. Three computational methods are used in this study, that is, the i) proposed particle swarm optimisation-recursive least squares (PSO-RLS) algorithm, which is developed, presented and compared with the ii) discrete fourier transform (DFT) and iii) PSO algorithms. The three algorithms are tested on an IEEE 14-bus system, and simulation results show that the new PSO-RLS algorithm is more accurate than the other two algorithms (i.e. DFT and PSO algorithms), with a lower error percentage. The proposed algorithm is tested to prove its validity and effectiveness in power system networks. The capability of the PSO-RLS algorithm is apparent in the error percentage compared with that of the other two computational methods, which can be used to provide an excellent prediction rate for measurement errors in system buses. </span>

Active filtering capability based on the RSC control of WECS equipped with a DFIG

“…The development of power electronics, the increase in powers involved and the progressive flexibility of the semiconductors use have encouraged the association of statics powers converters with electrical machines. These devices based on electronic components absorb a non-sinusoidal current and therefore behave as harmonic generators consuming reactive power; these are the main cause of electrical network disturbances and harmonic production [1]. When using linear loads on an electrical network, the current and the voltage is at the same frequency imposed by the grid.…”