Abstract
The transit of reactive power through the electric transport lines due to the inductive loads, creates problems of instabilities on the electrical networks. Transport networks are increasingly vulnerable to instability of voltage due to industrialization and/or population growth. The managers of these networks are therefore seeking effective solutions to these problems. STATCOM is one of the devices of the family of shunt FACTS used for reactive energy compensation. It generally offers better features compared other FACTS devices and conventional reactive compensation devices. This work aims to apply the STATCOM controlled by the current control method by hysteresis bands for the maintenance of the voltage in an electric transport network. The transport network is modeled as a transport line in MATLAB/SIMULINK and its characteristics are compared to the system without STATCOM.
Highlights
The STATic COMpensator (STATCOM) is a regulating device based on power electronics which consists of a Voltage Source Converter (VSC) and is connected in parallel to the electrical distribution or transport networks with alternating current [1]
For the STATCOM control, we used the hysteresis band current control method based on the synchronous reference theory
The voltage was 0.86 pu for the system without STATCOM was increased to 0.91 pu when the STATCOM was connected; which is approaching the case of normal mode operation (0.92 pu)
Summary
The STATic COMpensator (STATCOM) is a regulating device based on power electronics which consists of a Voltage Source Converter (VSC) and is connected in parallel to the electrical distribution or transport networks with alternating current [1]. The voltage source is created from a DC capacitor and the STATCOM can exchange reactive power with the network [1]-[8]. Compared to conventional compensation devices such as capacitor banks, synchronous machines and inductors, the STATCOM has proven its worth and the latter gives much better results [2], [7]. That of hysteresis seems to have several advantages, namely: simplicity, robustness, etc. This method can be applied for non-linear loads (partial knowledge or ignorance of load model) [1], [2]
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