Comparison of Different Control Strategies in GA-Based Optimized UPFC Controller in Electric Power Systems

In summary, the objective of this thesis is to design a stable LMI-based model predictive controller for uncertain stable and unstable systems for the zone

Based on this approach for modeling a nonlinear system via an NLDI, this paper proposes the design of a linear dynamic output feedback (LDOF) controller for the NLDI model, in such

In (Ankita Agarwal 2012), Ankita proposed a method based on Genetic Algorithm (GA) which is used to produce a new encryption method by exploitation the powerful features of

Instead of using the iteration method, a trained Neural Network can be used as an estimator to predict the internal control variable ( K ) in the UPFC system.. POWER

µ-based UPFC controller synthesis: The main goals of the UPFC controller design are: Power system oscillation damping, DC-voltage regulator and power flow

In [1], an approach is proposed in which due to the use of qualitative parameters in genetic algorithms and the techniques based on the total weight in the objective function

Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective PID controller to find the constant

The Unified Power Flow Controller (or UPFC) is an electrical device for providing fast-acting reactive power compensation on high-voltage electricity transmission networks.. The