Abstract
The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of Flexible AC Transmission Systems (FACTS). The crucial factor affecting the modern power systems today is load flow control. Simulation studies carried out in the PSCAD/EMTDC environment is described and results show the successful control of the FACTS devices and the power system with adaptive and optimal neurocontrol. Performances of the neurocontrollers are compared with the conventional PI controllers for system oscillation damping under different operating conditions for large disturbances.
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Venayagamoorthy, G.K., Harley, R.G. (2005). Computational Intelligence Techniques for Control of FACTS Devices. In: Chow, J.H., Wu, F.F., Momoh, J. (eds) Applied Mathematics for Restructured Electric Power Systems. Power Electronics and Power Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-23471-3_10
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DOI: https://doi.org/10.1007/0-387-23471-3_10
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