Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

Abstract

In this paper, a linear model of power system equipped by HVDC parallel installed with HVAC is investigated. The HVDC system is mainly composed by voltage source converters (VSC-HVDC). So, there are four adjustable variables to control the power system characteristics. In this regards, one of these variables can be used as a supplementary controller input, in order to damp the oscillations efficiently. In this work the Singular Value Decomposition (SVD) method is used to realize the most effective control input of VSC-HVDC, with the aim of low frequency oscillation damping. Besides, optimum values for supplementary controller gains, are found using imperialist competition algorithm. To confirm strength of the proposed controller, the designed controller is tested in wide range of operating condition and compared with conventional scheme. The main advantage of the proposed procedure is greatly improving the dynamic response of the system. In addition, the overshoots, undershoots and the settling times are dramatically reduced by applying the proposed method. Simulation results show the good operation of proposed method so as to damp power system oscillations.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System

“…However, the author did not consider the heavy loaded or fault condition. An imperialist competition algorithm is used for damping power oscillation in [5]. The controller is designed for wide range of operating conditions, but the author considered a Single Machine Infinite Bus (SMIB) system.…”

Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach

“…It is useful for power systems because low-frequency oscillations are typically in the range of 0.2-2.5 Hz [32]. Increasing n ω results in more accuracy of the index.…”

“…By nonlinear simulation of power system events and considering the resulted oscillations, it is feasible to compute an index to present the event effects and rank them based on the probable instability conditions. Some references such as [30][31][32][33][34][35] utilized an index called Integral of Time multiplied Absolute Error (ITAE) as a performance index for some optimal tuning and noise effect minimizing problems especially for control design. Although ITAE is known in other literatures, it is adapted for event ranking purpose in this paper by normalizing and called as Non-linear TDS based ITAE (NTDSITAE) index for the ith event:…”