Modern Power System Dynamics, Stability and Control

Abstract

This Special Issue of Energies, “Modern Power System Dynamics, Stability and Control”, addresses the core problem of deploying novel aspects in the analysis of modern power systems as these are composed after the high penetration of distributed generation (DG) with different renewable energy sources (RES). The focus is given either on the new whole power and control system configuration or on individual cases of DG sources, power converters and other general or specific plants and devices. The problem can be tackled with different methodologies and may have several, more or less valuable and complicated solutions. The twenty-three accepted papers certainly offer a good contribution in a wide range of applications; they are extended from basic system theory perspectives, fundamental nonlinear analysis tools and novel modeling deployments to some interesting particular system and control issues.

Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment

“…The system Controllability test was carried out on the intelligent master controller model using MATLAB and the results shows that the develop system was stable. This result in Table 2, validates the controllability matrix condition in equation 13 and [17,3].…”

“…In conformity with the condition of critical dampness, the system roots of the intelligent master control provide stable result. This is in validation of the stability preposition by researcher in [11,3,7,6] for the multiple power source scenario.…”

“…The operating procedure was designed using a hybrid hierarchical voltage control system model based on hybrid theory. In order to drive the system, the stability and economic events were specified, by which the synthetic objects of safety, stability, and economy were attained in multi-power source system [10,3]. The validity of the system and the methodologies proposed in the research were demonstrated by computer simulation results.…”

“…Providing a modelled-based environment for an engineering system development helps to understudy the system performance prior to the hardware building. The dynamic characteristic of the system is represented by several created models and these model aids in the evaluation of the proposed system performance from the different constituent of the subsystems [3]. Algorithms are developed for the system simulations as a way of confirming the system performance [4,5].…”