An Advanced Control and Extensible Configuration for Static Var Generator

Abstract

An extensible configuration is proposed for static var generator (SVG) with advanced controller included for reactive power compensation of grid. Compared with the traditional configurations, the major advantage of such system configuration is that the power modules are very flexible and easy to extend or reduce without changing the main equipment of SVG under the different voltage levels. Furthermore, in order to solve the problems of modeling uncertainty, nonlinearities, and outside disturbance by using proportion integration (PI) controller, an advanced controller is proposed based on auto disturbance rejection control (ADRC). By controlling the amount and direction of reactive current, the reactive power is generated or absorbed from SVG into power grid with fast response, which can realize the excellent dynamic compensation for both the internal and external interferences. Simulations results show that the proposed controller has better performance of the transient and steady state than PI controller. Moreover, the verification tests are executed in 380 V, 6.5 kVA experiment systems, suggesting that the excellent dynamic performance and strong robustness are achieved.

Optimal Operation Strategy of Flexible Interconnected Distribution Network Based on SES-VSC-MTDC

“…e voltage violations caused by the power fluctuations of renewable energy are increasingly significant. e increasing distribution network capacity and the rising integration of reactive power compensation devices such as static VAR generator (SVG) [4] will significantly increase the construction and operation cost. Although the active power limit and the reactive power regulation of the inverter can properly solve the voltage violations [5], the consequent abandonment of wind and solar energy in the distribution network decreases the utilization level of renewable energy.…”

Enhanced Nonlinear Robust Control for TCSC in Power System

“…Nonetheless, this method is flawed with certain shortcomings. The transient stability of a closed-loop system cannot be guaranteed when the parameter estimator is fixed to its limit value and the system running time approaches infinity [17]. In other words, if the estimator is fixed, the estimation error will be accumulated in constructing control Lyapunov function (CLF) and the coupling terms between states and estimation error will be also accumulated as running time increase.…”