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The extended papers in this Special Issue cover the topics of smart energy, nuclear systems, and micro energy grids. In “Electrical Loads and Power Systems for the DEMO Nuclear Fusion Project” and “Energy Analysis for the Connection of the Nuclear Reactor DEMO to the European Electrical Grid”, the authors introduce a European DEMO project. In “Comparison and Design of Resonant Network Considering the Characteristics of a Plasma Generator” the authors present a theoretical analysis and experimental study on the resonant network of the power conditioning system (PCS). In “Techno-Economic Evaluation of Interconnected Nuclear-Renewable Micro Hybrid Energy Systems with Combined Heat and Power”, the authors conducted a sensitivity analysis to identify the impact of the different variables on the investigated systems. In “Fault Current Tracing and Identification via Machine Learning Considering Distributed Energy Resources in Distribution Networks”, the authors propose a current tracing method to model the single distribution feeder as several independent parallel connected virtual lines, with the result of tracing the detailed contribution of different current sources to the power line current. From the five extended papers, we observe that the SEGE is actively engaged in smart grid and green energy techniques. We hope that the readers enjoy this Special Issue.

plasma generator --- LCL network --- LCCL network --- phase compensation --- ZVS control --- current tracing --- fault current --- distributed energy resources --- network model --- nuclear power plant --- renewable energy --- hybrid energy system --- combined heat and power --- nuclear fusion --- tokamak --- generation power plant --- power system --- electrical transmission grid --- balance of plant --- DEMO --- electric loads --- plasma --- power flow --- power supply --- power systems

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This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence.

subhourly modeling --- stochastic unit commitment --- cosimulation method --- sensitivity analysis --- power system dynamic performance --- cooling system --- dynamic programming --- metal-air battery --- receding horizon control --- state variables --- uninterruptible power supply --- power flow computation --- high performance computing (HPC) --- parallelism --- parallel computation --- LU decomposition --- security-constrained optimal power flow --- chance-constrained optimization --- probability of contingency --- renewable energy source --- flexible AC transmission systems --- tabu search --- multi-objective --- power systems --- impartial and open dispatching --- economy --- Gini coefficient --- generation scheduling --- mixed integer quadratic programming --- flexible loads --- market clearing --- safety checking --- interior point method --- electric safety --- induction motor --- fan --- overcurrent protection --- aggregation --- ancillary services --- distributed energy resources --- optimization --- power system operation --- automatic generation control (AGC) --- frequency control --- dynamic deadband --- energy management system (EMS) --- governor response --- voltage collapse --- voltage control --- transformer controller --- adaptive algorithm --- voltage regulation --- distribution system --- power distribution network --- distributed generation --- OLTC --- solar radiation modeling --- GIS --- interpolation --- digital elevation model --- data mining --- ANFIS --- multistrand cable lines --- ampacity --- skin and proximity effects --- symmetry

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Energy management systems (EMSs) are nowadays considered one of the most relevant technical solutions for enhancing the efficiency, reliability, and economy of smart micro/nanogrids, both in terrestrial and vehicular applications. For this reason, the recent technical literature includes numerous technical contributions on EMSs for residential/commercial/vehicular micro/nanogrids that encompass renewable generators and battery storage systems (BSS) The volume “Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids”, was released as a Special Issue of the journal Energies, published by MDPI, with the aim of expanding the knowledge on EMSs for the optimal operation of electrical micro/nanogrids by presenting topical and high-quality research papers that address open issues in the identified technical field. The volume is a collection of seven research papers authored by research teams from several countries, where different hot topics are accurately explored. The reader will have the possibility to benefit from original scientific results concerning, in particular, the following key topics: distribution systems; smart home/building; battery energy storage; demand uncertainty; energy forecasting; model predictive control; real-time control, microgrid planning; and electrical vehicles.

distribution systems --- smart home --- battery energy storage --- energy forecasting --- model predictive control --- real-time control --- microgrid --- black-start --- islanding --- master–slave control approach --- cold load pickup --- demand–response --- distributed electronic power converters --- optimal power sharing --- power flow control --- real-time simulations --- energy management system --- forecasting error --- rolling horizon --- demand uncertainty --- microgrids --- battery impedance model --- equivalent circuit model --- fractional-order model --- time- domain implementation --- efficient management --- energy resources --- heuristic approach --- nanogrid --- smart buildings --- micro-grid planning --- electrical vehicles --- energy storage --- flexible programming

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The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering.

active distribution network --- computational intelligence --- optimization algorithms --- optimal distribution system management --- optimal Smart Grid management --- advanced distribution system optimization --- renewable distributed generation --- Smart Grid optimization --- co-simulation --- computational intelligence techniques --- distributed generation --- optimal allocation and control --- power system protection --- overcurrent relays --- protection relays --- metaheuristic --- school-based optimizer --- electric markets --- photovoltaic generation --- Monte Carlo simulations --- power flow --- S-iteration process --- Newton–Raphson --- high order newton-like method --- computational efficiency --- line-start synchronous motor --- efficiency factor --- power factor --- optometric analysis --- transient models --- induction machine --- ant colony optimization --- predictive current control --- fuzzy logic control --- Takagi–Sugeno --- n/a --- Newton-Raphson --- Takagi-Sugeno

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The Special Issue of Energies on the subject area of “Intelligent Transportation Systems (ITS) for Electric Vehicles (EV)”, covers new work on EV and associated topics like charging process, smart grids, emerging ITS for EV and applications for electromoV market penetration with an increase of 60% per year, associated challenges of the charging process and system and changes in the energy market and grid. EV is associated with sustainability and the EU has committed to reducing CO2 emissions by 37.5 percent by 2030. The charging process and open energy market with renewable energy create interesting research problems where IoT and intelligent systems play an essential role in the flexibility of the EV charging process and the EV operation.bility. Considering EV market penetration with an increase of 60% per year, associated challenges of charging process and system and the change on the Energy market and Grid. EV is associated with sustainability with the commit of EU in, aiming to reduce CO2 emissions by 37.5 percent from 2021 to 2030. Charging process and open energy market with renewable energy creates interesting research problems where IoT and Intelligent System plays an essential role in the flexibility of the EV charging process and the EV operation.

vehicle electrification --- smart grids --- renewable energy sources --- energy storage systems --- power quality --- bidirectional --- power electronics. --- charging behaviors --- distribution locational marginal pricing --- distribution networks --- electric mobility --- electric vehicle --- operation --- reconfiguration --- smart city --- smart grid --- rapid charging --- charging navigation --- internet of things --- electric charging behaviour --- energy prices --- EVs --- travel simulator --- charging station --- prediction --- probability --- mobile App --- EV charging process --- blockchain --- IoT --- mobile app --- particle filter --- histogram of gradient --- sensor fusion --- neural network --- support vector machine --- object recognition --- electric bus --- emissions --- urban transportation --- energy mix --- automatic train operation --- multi-objective optimization --- shark smell optimization algorithm --- composite angle cosine --- dual-population evolution mechanism --- hardware-in-the-loop simulation --- daily activity chains --- electric vehicles --- optimization --- charging stations --- intelligent transportation systems --- ITS --- Dispatching Service --- Dispersed Generation --- Distribution Grid --- Electrical Vehicle --- Optimal Power Flow --- Power Flow --- Power System --- Simulation Models --- shared swap charging system --- operational design --- battery charging rate --- binary integer programming --- silicon carbide --- extreme fast charging --- DC transformer --- V2G --- urban complex --- peak shaving --- Hybrid Electric Vehicles (HEVs) --- energy management strategies (EMSs) --- driving cycle prediction