Generation and transmission systems, Monte Carlo simulation, optimization, reliability, static adequacy analysis
Abstract
The reliability evaluation of electrical systems provides a diagnosis of the risks associated to customer service interruptions, expressed through probabilistic indices. For assessing composite generation and transmission systems, a significant computational effort may be required, which is mainly due to the static analysis phase of numerous operating states generated by the simulation. This phase involves the solution of multiple power flows with optimization of corrective measures, aiming to meet equipment operational limits. To mitigate the computational cost of this step and make the entire reliability assessment process more efficient, a linearized model is used with the inclusion of ohmic losses based on a properly adjusted base dispatch. In this context, this work studies the impact of different methods for defining the base dispatch. These approaches, incorporated into a quasi-sequential Monte Carlo simulation, are evaluated by a modified version of the IEEE Reliability Test System - 1996, which presents the participation of intermittent renewable sources and composite failures adapted to the reality of modern interconnected systems.
