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power system relay protection --- power system protection and control --- power system analysis --- power system automation and stability --- electricity market --- energy generation --- Electric power systems --- Control of electric power systems --- Electric power system control --- Electric power system stability --- Power systems, Electric --- Systems, Electric power --- Electric power production --- Protection --- Control --- Control. --- Protection. --- Electrical Engineering --- Electricity --- Réseaux électriques (Énergie) --- Régulation

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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.

Technology: general issues --- History of engineering & technology --- 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 "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.

Technology: general issues --- History of engineering & technology --- 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 --- 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

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The electrical energy industry is undergoing dramatic changes: massive deployment of renewables, increasing share of DC networks at transmission and distribution levels, and at the same time, a continuing reduction in conventional synchronous generation, all contribute to a situation where a variety of technical and economic challenges emerge. As the society’s reliance on electrical power continues to increase as a result of international decarbonisation commitments, the need for secure and uninterrupted delivery of electrical energy to all customers has never been greater. Power system protection plays an important enabling role in future decarbonized energy systems. This book includes ten papers covering a wide range of topics related to protection system problems and solutions, such as adaptive protection, protection of HVDC and LVDC systems, unconventional or enhanced protection methods, protection of superconducting transmission cables, and high voltage lightning protection. This volume has been edited by Adam Dyśko, Senior Lecturer at the University of Strathclyde, UK, and Dimitrios Tzelepis, Research Fellow at the University of Strathclyde.

decentralized protection scheme --- fault analysis --- low voltage direct current grids --- plug-and-play systems --- solid-state circuit breakers --- DC grids --- fault protection --- local detection --- local action --- DC circuit breaker --- AC microgrid --- adaptive protection --- IEC 61850 GOOSE protocol --- substation automation --- adaptive auto-reclosing --- power system protection --- EV transmission lines --- transient fault --- Hilbert–Huang transform --- microgrid --- distributed generation --- inverse-time over-current protection --- coordination optimization --- superconducting cable --- quench --- high temperature --- coppers stabilizer --- superconducting tape --- fault current limiting feature --- power generation-side --- multi-information fusion --- hierarchical protection system --- system layer --- station layer --- local layer --- wavelet entropy --- transient component --- MMC-HVDC --- protection --- building integrated photovoltaic (BIPV) --- lightning attachment characteristics --- lightning energy withstand capability --- numerical and experimental analysis --- ±230 kV MMC-HVDC --- zero-crossing DCCB --- DC transmission line --- fault current --- hybrid DCCB --- bidirectional DCCB --- external elements --- energy dissipation --- n/a --- Hilbert-Huang transform

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This reprint presents advances in operation and maintenance in solar plants, wind farms and microgrids. This compendium of scientific articles will help clarify the current advances in this subject, so it is expected that it will please the reader.

Research & information: general --- Physics --- wind turbine --- electric generator --- spectral analysis --- fault diagnosis --- photovoltaic power forecasting --- data-driven --- deep learning --- variational autoencoders --- RNN --- angle swinging --- grid frequency oscillations --- electromechanical system --- inertial masses --- microgrids --- coordination protection --- distributed generation --- photovoltaic resources --- DigSILENT --- photovoltaic module --- defect detection --- power plant --- efficiency --- thermal image --- photovoltaic aging --- dark I-V curves --- bidirectional power inverter --- online distributed measurement of dark I-V curves --- sustainability --- compressive strength --- Bolomey formula --- sustainable concrete --- glass powder --- solar cell --- solar panel --- parameter extraction --- analytical --- Lambert W-function --- spacecraft solar panels --- I-V curve --- modeling --- wind power --- non-conventional renewable energy --- forecasting --- energy bands --- combinatorial optimization --- deep learning (DL) --- unmanned aerial vehicle (UAV) --- photovoltaic (PV) systems --- image-processing --- image segmentation --- semantic segmentation --- faults diagnostic --- artificial intelligence --- unbalanced datasets --- synthetic data --- artificial neural network based MPPT --- hybrid boost converter --- renewable energies --- solar power system --- microgrid --- control system --- storage system --- primary control --- photovoltaic (PV) plants --- coverage path planning (CPP) --- corrosion monitoring --- FPGA --- offshore wind turbines --- ultrasound --- thickness loss --- SCADA --- visualisation --- software --- wind-turbine --- windfarm --- cross-platform --- HMI --- GUI --- corrosion --- monitoring --- photovoltaic systems --- expected energy models --- fleet-scale --- lasso regression --- performance modeling --- machine learning --- fault location in photovoltaic arrays --- failure modes simulation --- fault detection criterion --- adaptive protection --- distributed power generation --- power distribution --- power system protection --- wind turbine --- electric generator --- spectral analysis --- fault diagnosis --- photovoltaic power forecasting --- data-driven --- deep learning --- variational autoencoders --- RNN --- angle swinging --- grid frequency oscillations --- electromechanical system --- inertial masses --- microgrids --- coordination protection --- distributed generation --- photovoltaic resources --- DigSILENT --- photovoltaic module --- defect detection --- power plant --- efficiency --- thermal image --- photovoltaic aging --- dark I-V curves --- bidirectional power inverter --- online distributed measurement of dark I-V curves --- sustainability --- compressive strength --- Bolomey formula --- sustainable concrete --- glass powder --- solar cell --- solar panel --- parameter extraction --- analytical --- Lambert W-function --- spacecraft solar panels --- I-V curve --- modeling --- wind power --- non-conventional renewable energy --- forecasting --- energy bands --- combinatorial optimization --- deep learning (DL) --- unmanned aerial vehicle (UAV) --- photovoltaic (PV) systems --- image-processing --- image segmentation --- semantic segmentation --- faults diagnostic --- artificial intelligence --- unbalanced datasets --- synthetic data --- artificial neural network based MPPT --- hybrid boost converter --- renewable energies --- solar power system --- microgrid --- control system --- storage system --- primary control --- photovoltaic (PV) plants --- coverage path planning (CPP) --- corrosion monitoring --- FPGA --- offshore wind turbines --- ultrasound --- thickness loss --- SCADA --- visualisation --- software --- wind-turbine --- windfarm --- cross-platform --- HMI --- GUI --- corrosion --- monitoring --- photovoltaic systems --- expected energy models --- fleet-scale --- lasso regression --- performance modeling --- machine learning --- fault location in photovoltaic arrays --- failure modes simulation --- fault detection criterion --- adaptive protection --- distributed power generation --- power distribution --- power system protection