Monica Alonso

TL;DR: In this paper, an optimization algorithm to coordinate the charging of EVs has been developed and implemented using a Genetic Algorithm (GA), where thermal line limits, the load on transformers, voltage limits and parking availability patterns are taken into account to establish an optimal load pattern for EV charging-based reliability.

TL;DR: A generalized optimization formulation is introduced to determine the optimal location of distributed generators to offer reactive power capability and genetic algorithms are applied in those cases where different multiobjective functions are to be considered.

TL;DR: In this article, a coordinated reactive power planning strategy among Doubly-Fed Induction Generator (DFIG) variable speed wind turbines and Flexible AC Transmission Systems (FACTS) devices is proposed.

TL;DR: In this article, a hierarchical and distributed congestion management concept for future distribution networks having large-scale DG and other controllable resources in MV and LV networks is proposed, where primary controllers operate based on local measurements, secondary control optimises the set points of the primary controllers in realtime and tertiary control utilises load and production forecasts as its inputs and realises network reconfiguration algorithm and connection to the market.

TL;DR: In this paper, a genetic algorithm was used to solve the problem of reactive power planning in wind energy penetration, where several wind farms and FACTS units were optimally located to improve the voltage profile as well as the voltage stability in power networks.