Almoataz Y. Abdelaziz

Abstract: : Steady state voltage stability analysis is effectively used to determine a stability margin that shows how close the current operating point of a power system to the voltage collapse point. The energy function technique represents a powerful method to assess voltage stability of multi-machine power systems. The sparse network formulation of this method retains the original structure of the system network and avoids network reduction. This permits the system loads to be modeled as they exist in practical life. Neglecting these models may lead to misleading results; e.g. the system appears to be stable while it is actually unstable. This paper investigates this serious problem and shows the significant effect of load modeling on power system voltage stability. A closed form expression of the energy function is obtained. The proposed technique is applied to Ontario-Hydro real power system (Canada).

TL;DR: A novel heuristic algorithm that aims to determine the best size and location of distributed generators in unbalanced distribution networks and can deal with the planning cases where power loss is to be optimized without violating system practical constraints is proposed.

TL;DR: Optimizing energy consumption in smart homes through demand side management (DSM) strategies is a key component of energy efficiency in buildings. DSM empowers customers and vendors to make informed decisions about energy consumption based on real-time utility-customer communication and dynamic energy use.

TL;DR: The design concept, problem formulation, solution algorithms, probabilistic model and other graph related theories are presented and the Back Tracking Search optimization algorithm is used to cluster a 69-bus distribution system with optimally allocated distributed generation units.