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PE-570PRS (03-2001) This paper presents a global tuning procedure for FACTS Device Stabilizers (FDS) and Power System Stabilizers (PSS) in a multimachine power system using a parameter-constrained non-linear optimization algorithm implementer in a simulation program. This algorithm deals with such an optimization problem by solving a sequential quadratic programming using the dual algorithm. The main objective of this procedure is to simultaneously optimize preselected parameters of the FDSS and PSSS having jixed parameters in coping with the complex non-linear nature of the power system. By minimizing a non-explicit target function in which the oscillatory rotor modes of the generators involved and swing characteristics between areas are included, interact ions among the FACTS controls under transietu conditions in the multi-machine system are improved. A multi-machine power system equipped with a TCSC and an SVC as well as ihree PSSS is applied to demonstrate the eficiency and robustness of the tuning procedure presented. The results obtained from simulations validate the improvement in damping of overall power oscillations in the system in an optimal and globally coordinated manner. The simulations also show that the stabilizers tuned are robust in providing adequate damping for a range of conditions in the system.

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The simulation system NETOMAC@ (Network Qrsion &chine control) offers a wide range of modern methods of analyzing and synthesizing electric power systems. In order to design individual elements of transmission systems or to perform stability calculations on large systems, it is possible to simulate electrical networks in the time domain and also, with the aid of eigenvalue calculations, to study the frequency domain too. These methods find general application in the design of control systems and in analyzing the behavior of large networks. User support is provided in the form of a graphical interface to facilitate the inputting of the electrical systems and control structures. One uniform database is being used for all calculations regardless of whether time domain or frequency domain is being investigated. Workstations, PCs or Notebooks provide the platform from which NETOMAC can provide the user with the flexibility, mobility and speed that he needs.

This paper presents a global tuning procedure for FACTS Device Stabilizers (FDS) and Power System Stabilizers (PSS) in a multi-machine power system using a parameter-constrained nonlinear optimization algorithm implemented in a simulation program. This algorithm deals with such an optimization problem by solving a sequential quadratic programming using the dual algorithm. The main objective of this procedure is to simultaneously optimize pre-selected parameters of the FDSs and PSSs having fixed parameters in coping with the complex nonlinear nature of the power system. By minimizing a nonexplicit target function in which the oscillatory rotor modes of the generators involved and swing characteristics between areas are included, interactions among the FACTS controls under transient conditions in the multi-machine system are improved. A multi-machine power system equipped with a TCSC and an SVC as well as three PSSs is applied to demonstrate the efficiency and robustness of the tuning procedure presented. The results obtained from simulations validate the improvement in damping of overall power oscillations in the system in an optimal and globally coordinated manner. The simulations also show that the stabilizers tuned are robust in providing adequate damping for a range of conditions in the system.