Abstract
In this paper a new method has been proposed to determine optimal location and best setting of Thyristor Controlled Series Compensator (TCSC). Seeking the best place is performed using the sensitivity analysis and optimum setting of TCSC is managed using the genetic algorithm. The configuration of a typical TCSC from a steady-state perspective is the fixed capacitor with a thyristor controlled reactor (TCR). The effect of TCSC on the network can be modeled as a controllable reactance inserted in the related transmission line. This paper employs the DIgSILENT simulator and the DPL as a programming tool of the DIgSILENT to show the validity of the proposed method. The effectiveness of sug-gested approach has been tested on IEEE 14-bus system.
Highlights
In recent years, with increasing in development of power networks, the economical operation of power system is more considered
The suggested approach is composed of sensitivity analysis and the genetic algorithm
Having been calculated the real power flow sensitivity indices, the results are shown in Table 1 Regarding to the results shown in Table 1, line 1 - 5 has the most positive sensitivity index
Summary
With increasing in development of power networks, the economical operation of power system is more considered. There are several methods for finding optimal locations of FACTS devices in power systems [1,2,3,4,5,6,7]. In [1], a sensitivity based method has been suggested to optimally locate the Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) for enhancing the system security under different operating conditions and at optimal settings of FACTS parameters. In [2], a genetic algorithm (GA) based method is used to determine the optimal sitting of FACTS controller in power system. In [6], a real power flow performance sensitivity index has been proposed to decide optimal location of FACTS controllers. In this paper a new method has been proposed to optimally locate TCSC in power systems. DIgSILENT software which contains a powerful programming language called DPL1 has been prepared required facilities to execute the proposed algorithms and corresponding simulations
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