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This paper presents a roadmap to the application of AI techniques and big data for different modelling, design, monitoring, manufacturing and operation purposes of different superconducting applications. To help superconductivity researchers, engineers, and manufacturers understand the viability of using AI and big data techniques as future solutions for challenges in superconductivity, a series of short articles are presented to outline some of the potential applications and solutions. These potential futuristic routes and their materials/technologies are considered for a 10-20 years time-frame.

Part 14: Energy: SimulationInternational audienceSuperconducting fault current limiters are considered as emerging devices for the advent of modern power grids. Those limiters as well as other electric power grid applications have been developed in the last years in order to support the increased penetration of dispersed generation. The development of such limiters requires new design tools that allows to simulate those devices in electrical power grids with different voltage ratings and characteristics. This work presents a methodology to simulate the behaviour of saturated core type limiters based on its characteristic curves. A prototype is tested to obtain its characteristic and then the methodology is implemented in Simulink. The simulation carried out by the proposed methodology is compared with a real test

From the electrical energy point of view, the smart community (SC) concept is meant to be as a sustainable and environmentally friendly alternative to the classical configuration. The SC includes small-scale renewable energy sources (RES) and small-scale energy storage system (ESS). The SC energy management system acts as an aggregator, aiming to assure benefits for community stakeholders. These trends led to the energy routers (ERs) concept. This study proposes and describes the control strategies for these ERs to contribute to the SC goals. The approach of these strategies increases the RES adjustability, contributing to maintain the ESS state of health. The ER is able to operate simultaneously with active and reactive power control, besides compensating SC grid voltage imbalances, and providing ancillary services to the SC. The proposed control strategies are validated by simulations and experiments.

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From the electrical point of view, the concept of smart community (SC) was defined as a distributed system consisting of a set of smart homes, distributed energy resources (DERs) and energy storage systems (ESSs) using SC controllers to enable smart power management. In this context, the SC energy management system (SCEMS) acts as aggregator of these resources, aiming to assure benefits for every SC stakeholder by setting the SC operation. The references given by the SCEMS must be accurately tracked by the energy routers (ERs), intended as one of the key components of the SC, acting as smart interface between the utility grid and the prosumers' DER and ESS. This study proposes a flexible, robust and simple control strategy for a single-phase ER. The ER regulates the active and reactive powers in grid-connected (GC) mode, and the voltage and frequency when operating in stand-alone (SA) mode. A seamless transition between SA and GC is demonstrated, avoiding undesired transients. The design and implementation of the proposed control strategy is progressively explained. Finally, this is tested via simulation (in PSCAD/EMTDC software) and verified with the experimental prototype.

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