An Extended Optimal Transmission Switching Algorithm Adapted for Large Networks and Hydro-Electric Context

Optimal Transmission Switching in Electric Networks

Growing demand for electric power seems to necessitate new transmission lines, but obstacles to building these new lines are often extremely high. At the same time there is a national push for a “smarter” bulk electric grid, one that is more controllable and flexible. Optimal transmission switching is a straightforward way to leverage grid controllability: to make better use of the existing sys...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Optimal Route Planning for Electric Vehicles in Large Networks

We consider the problem of routing electric vehicles (EV) in the most energy-efficient way within a road network taking into account both their limited energy supply as well as their ability to recuperate energy. Employing a classical result by Johnson and an observation about Dijkstra under nonconstant edge costs we obtainO(n log n+m) query time after aO(nm) preprocessing phase for any road ne...

Global Optimization Methods for Optimal Power Flow and Transmission Switching Problems in Electric Power Systems

A mathematical model for designing optimal urban gas networks, an ant colony algorithm and a case study

Considering the high costs of the implementation and maintenance of gas distribution networks in urban areas, optimal design of such networks is vital. Today, urban gas networks are implemented within a tree structure. These networks receive gas from City Gate Stations (CGS) and deliver it to the consumers. This study presents a comprehensive model based on Mixed Integer Nonlinear Programming (...