Guest editorial: Applications of advanced machine learning and big data techniques in renewable energy‐based power grids

In recent years, due to the grid modernizations, high penetration of renewable energies, and using smart sensors in main structure power grids, a large amount data has been generated that can potentially lead complexity network. This be significant issue especially contingencies conditions, post-natural disasters operation, cyber/physical attacks which require fast reliable processing preserve reliability resiliency. Furthermore, normal condition, grids is very important, it improved by measurements during long-term operation. Therefore, address these challenges, advanced machine learning-based techniques, as well big techniques provide new solutions energy systems operation control. Special Issue IET Renewable Power Generation aims investigate applications machine/deep learning system analysis, planning, cybersecurity, Overall, more than 85 short abstracts papers have received; however, 10 accepted below. Paper 1 Misagh Dehghani Ghotbabadi et al. investigates optimal networked microgrid from perspective correlated atmosphere for wind generators an technique. The suggested approach performs based on unscented transformation form non-linear projection heuristic method optimizer. proposed arranged complex constraint optimization problem with several targets seeing varied objectives such not supplied, interruption frequency, duration, losses. Owing interrelated natural surroundings multi-microgrids, necessity microgrids let each other access info central unit. this situation, quite wise secured construction made blockchain assurance adequate security sharing microgrids. 2 Zahra Mostowfi tries assess stochastic automated considering reconfiguration strategy social economic points view. To end, novel approximation method, called transform (UT), deployed only handle independent uncertainty but also model uncertainty. Different objective functions counting losses, total cost, average expected supplied are modelled analyzed aspects automation process. Considering highly problem, search proper modification proposed. mixed integer nature addressed explained through suitable performance capability framework investigated standard IEEE test system. 3 Jiwei Tian claims Deep recently used safety-critical cyber-physical (CPS) grid. assessment methods within CPS algorithms, still open problem. Despite existing research adversarial against deep models, few works concerned about energy-CPS, state estimation routine. paper issues neural network-based Specially, we analyze propose efficient attack method. thwart attack, further two defense protection training, respectively. experiments demonstrate poses major threat models. addition, our results present improve ability network models defend attacks. 4 Farshad Faramarzi Natural disasters, man-made attacks, cyber-attacks some hazards interrupt process continuous delivery end users. way, characteristics fundamentally different their adaptive allows attackers target most vulnerable parts By choosing appropriate time place, always advantages over defender penetrate launch malicious actions. necessary consider policy allocating resources defender's strategy. proposes four-level Defense-Defense-Attack-Defense (DDAD) system's resilience intentional human A level, planning added common three-level Defense-Attack-Defense (DAD) prevent cut-off loads voltage drops beyond lower cost. load priority classify sections. 5 Hamed Safipour try provision flexibility both sides production demand unit commitment (SCUC) before schedule considered. powerful technique modified firefly algorithm (FA) devised achieve solution. Moreover, fast-starting gas units (FGUs) considered providers lateral result quickness starting work ramp capability. model, two-phase reinforce FA fact subject supply connected transmission lines, imitate effects deviation volume pipelines. Conversely, response strategies (DRSs) including special features among side. Nonetheless, dissimilar literature reflects complementary character DRSs, announces key role DRSs elasticity inclusive modelling DRSs. 6 Reza Khorram-Nia, intelligent switching reconfigurable reduce cost presence distributed generation electrical vehicles. deploys point manage uncertainties microgrid. demand, market price, electric vehicle charging discharging, turbine capacity, photovoltaic cells. formulation single-objective minimizes asking price observing constraints research, solve advance efficiency 33-Bus simulation shown useful fitting distribution reduction costs various scattered products. 7 Abdulaziz Almutairi, al., improvements accuracy micro-phasor measurement (μPMU) synchrophasor full observability generations (DGs). regard, accurate fault detection become turning point. attempts develop architecture UT, requires numbers μPMUs, communicate blockchain-enabled allocate detect irregularities faults. Such blockchain-based beneficial encrypting transmitted μPMUs consisting variety sources (DERs) impedance events while incorporating associated individual installation sensors. benefits uses its angle event placement efficiently conventional high-voltage current metering. show great precision effectiveness scenarios 8 Mohammadamin Mobtahej program (DRP) solar tidal popular makes use multi-objective (MOP) minimize scheduling mitigate risk component's failure rate long repairing rates. non-linearity formulation, introduced without any assumption or killing accuracy. dynamic three-phase correction (DPC) help increase global when boosting convergence model. Due hard predictability irradiance, generative networks (GAN) presented predict output properly. feasibility multi-layer assessed 9 Marzieh Askari many countries facing water shortages population groundwater pollution. overcome developed implemented, one being condensation humid air. Aqueous vapour Earth's includes could potable water. One condensing air thermoelectric coolers. study, coolers, trapping moisture produce fresh condensation, studied. Fundamental concepts design coolers discussed element. According specification temperature, pressure, relative humidity, desired geographical location variables, maximum achieved. Modelling higher Ramsar (318 L) comparison Bandar-Abbas. Similarly, point, hybrid panels resulted 62.67% mid-December 49.33 % thermal 13.33 efficiency. Ali Amiri Zaniani deference Kalman filter (CDKF) input index (DML), simulating broken rotor bars (BRBs) diagnosis induction motors (IMs). selective ensemble (DML) applying grey wolf (GWO) diagnose BRBs IMs following study. initial step, order take sufficient usual efficiency, needed train DML outcomes indicate offered scheme accurately powerfully diverse forms 98%. And also, enhanced via changing sigma filter; stability enhances because utilization, CDKF stable precise (UKF). estimate speed bar IMs. obtained prove combined scheme. All selected reliability, resiliency, sustainability significantly. However, need investigation formal adoption them. Also, them perspectives. Finally, guest editors would like thank EIC journal, reviewers, all people who supported us organize issue. authors declared no conflict interest. Guest MORTEZA DABBAGHJAMANESH (Senior Member, IEEE) received M.Sc. degree engineering Northern Illinois University, DeKalb, IL, USA, 2014, Ph.D. computer Louisiana State Baton Rouge, LA, 2019. 2015, he joined Energy Smart Grid Laboratory, at University. 2019, University Texas Dallas, Richardson, TX, USA associate. He currently working R&D engineer Electric Reliability Council (ERCOT). Dr. Dabbaghjamanesh served/is serving journals Transactions Industrial Informatics, Grids, Sustainable Cities Society. His interests include sources, cybersecurity learning, ABDOLLAH KAVOUSI-FARD B.Sc. Shiraz Technology, Shiraz, Iran, 2009, 2011, 2016. was Researcher Denver, CO, 2015 2016, conducting Postdoctoral Research Assistant Michigan, MI, 2016 2018. Professor Technology. published 100 prestigious international peer-reviewed conference proceedings. management cyber analysis microgrid, city, vehicles, artificial intelligence, learning. ZHAO YANG DONG (Fellow, Sydney, Australia. School EEE, Nanyang Technological Singapore. previous roles SHARP Director UNSW Digital Futures Institute, New South Wales (UNSW), Australian Hub Integrated Storage Solutions. previously Head Electrical Information Engineering, Sydney; Ausgrid Chair Centre Intelligent Electricity Networks, Newcastle, held industrial positions Transend Networks (now TAS Networks), cities, stability, systems, modelling, electricity market, computational systems. editor/associate editor number TRANSACTIONS journals. ALIREZA JOLFAEI Associate Networking Cyber Security College Science Engineering Flinders Adelaide, Senior Member Distinguished Speaker ACM. interest Cyber-Physical Systems Security. papers, appeared journals, proceedings, books. Before faculty member Macquarie Federation Temple Philadelphia, PA, USA. council award his Forensics Jolfaei Consumer Technology Publication Board Editor-in-Chief Society World Newsletter. served Regional Management Society's Membership Development Activities coChair, track Chair, session Technical Program Committee member, conferences, TrustCom ICCCN. N/A