Risk-based placement of TCSC for transient stability enhancement

TCSC is one of the most appropriate devices to improve the transient stability of power systems. Since in today's competitive environment, investments in power systems need to be cost-effective, in this study, a procedure is presented to determine whether using TCSC for transient stability improvement is cost-effective or not. To this purpose, the transient instability risk is estimated both with and without TCSC. Afterwards, a comparison is made between the amount of improvement made in transient instability risk and the investment cost of TCSC. In the proposed procedure, the probabilities of transient instability and its cost are used to estimate the transient instability risk. To calculate the transient instability probability, a conditional method is used. This method is applied on the IEEE 9-bus as well as New England test systems. The simulation results demonstrate that the proposed procedure is capable of determining the cost–benefit size and number of TCSC units. Furthermore, results indicate that in some cases, installing TCSC to only improve transient stability is devoid of monetary value.

[1]  I. Kamwa,et al.  Statistical approach for transient stability constrained optimal power flow , 2015 .

[2]  T. S. Chung,et al.  Corrected transient energy function-based strategy for stability probability assessment of power systems , 2008 .

[3]  Hossein Fallahzadeh-Abarghouei,et al.  Power System Stability Improvement in Presence of Renewable Energies and TCSC , 2015 .

[4]  Mehdi Abapour,et al.  On-line assessment of the transient instability risk , 2013 .

[5]  A. Michel,et al.  Power system transient stability using individual machine energy functions , 1983 .

[6]  D. Chatterjee,et al.  Transient Stability Assessment of Power Systems Containing Series and Shunt Compensators , 2007, IEEE Transactions on Power Systems.

[7]  T. S. Chung,et al.  Transient stability limit conditions analysis using a corrected transient energy function approach , 2000 .

[8]  Rui Zhang,et al.  Post-disturbance transient stability assessment of power systems by a self-adaptive intelligent system , 2015 .

[9]  M. Kenan Dösoglu,et al.  Investigation of different load changes in wind farm by using FACTS devices , 2012, Adv. Eng. Softw..

[10]  R. Billinton,et al.  Probabilistic Assessment of Transient Stability in a Practical Multimachine System , 1981, IEEE Transactions on Power Apparatus and Systems.

[11]  Adi Soeprijanto,et al.  Critical Clearing Time prediction within various loads for transient stability assessment by means of the Extreme Learning Machine method , 2016 .

[12]  E. Vaahedi,et al.  Large scale probabilistic transient stability assessment using BC Hydro's on-line tool , 2000 .

[13]  Mehdi Abapour,et al.  Probabilistic transient stability assessment for on-line applications , 2012 .