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A new approach for reliability assessment of a static v ar compensator integrated smart grid

Abstract:

This paper presents an algorithm that employs a Sequential Monte Carlo Simulation (SMCS), to estimate operational states of components connected to a grid. Then, by the use of an Accelerated Quantum Particle Swarm Optimization (AQPSO), the algorithm determines the optimum size and location of Static Var Compensators (SVCs). The approach maximizes the level of reliability of the smart grid, which is subject to voltage regulation. The specific contribution of the paper is that it presents the impact of the integration of SVC over the system reliability that leads to a comprehensive composite system adequacy evaluation for a smart grid environment.