This paper presents a systematic approach for the design of power system stabilizer using genetic algorithm and investigates the robustness of the GA based PSS. The proposed approach employs GA search for optimal setting of PSS parameters. The performance of the proposed GPSS under small and large disturbances, loading conditions and system parameters is tested. The eigenvalue analysis and nonl...

How entangled is a randomly chosen bipartite stabilizer state? We show that if the number of qubits each party holds is large, the state will be close to maximally entangled with probability exponentially close to 1. We provide a similar tight characterization of the entanglement present in the maximally mixed state of a randomly chosen stabilizer code. Finally, we show that typically very few ...

Increasing interest has been seen in applying power system stabilizer to power systems problems from the number of publications on this topic in recent decade years. As a relatively new research topic a need is felt to pay more attention to the basic principles of the theory, identification of problems and design of Power System Stabilizer. This paper presents a survey of few decade publication...

The stabilizer code is the most general algebraic construction of quantum error-correcting codes proposed so far. A stabilizer code can be constructed from a self-orthogonal subspace of a symplectic space over a finite field. We propose a construction method of such a selforthogonal space using an algebraic curve. By using the proposed method we construct an asymptotically good sequence of bina...

This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Vague Inference System (ANVIS). An Adaptive Vague Set Based Controller Power System Stabilizer (AVCPSS) has been evaluated. This AVCPSS is capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbances. A Vague Controller (VC) is synthesized by using ...

This paper proposes a reinforcement learning based SVC controller to improve the damping of power systems in the presence of load model parameters uncertainty. The proposed method is trained over a wide range of typical load parameters in order to adapt the gains of the SVC stabilizer. The simulation results show that the tuned gains of the SVC stabilizer using Reinforcement Learning can provid...

Quench propagation velocity in conductors having a large amount of stabilizer outside the multif i lamentary area is considered. The current redistribution process between the multif i lamentary area and the stabilizer can strongly affect the quench propagation. A criterion is derived determining the conditions under which the current redistribution process becomes significant, and a model of e...

Dynamic stabilization operation can effectively improve the mechanical performance of ballast bed by using stabilizer. To effect, a rigid-flexible coupling dynamics simulation model stabilizer-ballast system was established according to actual structure stabilizer, and effect different parameters stabilizer on analyzed. The results showed that: maximum value lateral displacement response sleepe...