Luis E. Garza-Castañón

TL;DR: The proposed sensor placement algorithm does not depend on the isolation method chosen by the user and it could be easily adapted to any other isolation scheme and it is compared with exhaustive search methods with higher computational cost proving that GA allow to find near-optimal solutions with less computational load.

TL;DR: A general architecture for optimal EMS is provided and analyzed in detail, as well as its future perspectives, and the objective functions to be solved and also the optimization techniques used for solving optimal control problems related with reliable operations of microgrids.

TL;DR: This paper presents a methodology on the design of an optimal predictive control scheme applied to an islanded microgrid that manages the batteries energy and performs a centralized load shedding strategy to balance the load and generation within the microgrid, and to keep the stability of the voltage magnitude.

TL;DR: In this paper, a sensor placement approach to improve the leak location in water distribution networks is proposed when the leak signature space (LSS) method is used.

TL;DR: An original model-based scheme for leak location using pressure sensors in water distribution networks is introduced based on a new representation called the Leak Signature Space (LSS) that associates a specific signature to each leak location being minimally affected by leak magnitude.