This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models effectiveness the is validated. Predictive power system proposed to address need for faster accurate analyses that would aid operation control modern system. Several methods including metaheuristic optimization algorithms, artificial intelligence t...

Fuzzy control methods are developed for a high efficient variable speed constant frequency power generating system, with wind power generation as an example. In slip power recovery configuration, the system is composed of a doubly excited brushless reluctance machine and a reduced rating power electronic converter unit linking the stator secondary circuit with the power line. The doubly excited...

In this paper, a novel method is proposed to monitor the power system voltage stability using Support Vector Machine (SVM) by implementing real-time data received from the Wide Area Measurement System (WAMS). In this study, the effects of the protection schemes on the voltage magnitude of the buses are considered while they have not been investigated in previous researches. Considering overcurr...

Based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. However, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. To resolve this problem, hybridization of the fuel cell and energy storage device...

An indirect adaptive fuzzy power system stabilizer (IDFPSS) is proposed in this paper. It consists of A fuzzy identifier and a feedback linearizing controller. The objective is to damp local and inter-area oscillations that occur following power system disturbance. The effectiveness of the proposed technique is illustrated by applying the IDFPSS to a two-area four-machine system that is typical...

In this paper, an evolutionary algorithm-Invasive Weed Optimization (IWO) based power system stabilizer (PSS) is proposed for multi-machine power system. IWO is a derivative-free real parameter optimization technique that mimics the ecological behavior of colonizing weeds. Owing to its superior performance in comparison with many other existing meta-heuristics, it has used to search for optimal...

in this paper power system stability enhancement through static synchronous compensator (statcom)based controller is investigated. the potential of the statcom supplementary controllers to enhance thedynamic stability is evaluated. the design problem of statcom based damping controller is formulatedas an optimization problem according to the eigenvalue based objective function that is solved by...