Energy infrastructures are perceived continuously vulnerable to a range of high-impact low-probability (HILP) incidents-e.g., earthquakes, tsunamis, floods, windstorms, etc.- the resilience which is highly on demand. Specifically suited battery energy storage system (BESS) solutions, this paper presents new resilience-driven framework for hardening power distribution systems against earthquakes. The concept fragility curve applied characterize an earthquake hazard, assess its impact systems,...

The technological advancement in the communication and control infrastructure helps those smart households (SHs) that more actively participate incentive-based demand response (IBDR) programs. As agent facilitating SHs' participation IBDR program, load aggregators (LAs) need to comprehend available (DR) capacity before trading day-ahead market. However, there are few studies forecast aggregated DR from LAs' perspective. Therefore, this article proposes a forecasting model aiming aid LAs...

This paper proposes an optimal sizing and siting scheme for the battery storage photovoltaic generation aiming at improving power system resilience. The concept of capacity accessibility both electricity demand non-black-start (NB-S) generating units is proposed to evaluate reachability energy during extreme events. Priority NB-S units, characterized by their different importance black start process, also taken into account. unknowable nature events captured modeled through a multi-objective...

Several safety regulations, particularly concerning the charging of electric vehicles (EVs) are developed to ensure and prevent hazardous accidents, in which requirements for EV supply equipment (EVSE) battery two main driving factors. At present, quantitative assessment electrical considering operation conditions large-scale stations (EVCSs) has still remained a challenge. Driven by hierarchy hazard control mechanisms, this article proposes holistic approach evaluate EVCSs when coupled...

With the spatial flexibility exchange across network, mobile energy storage systems (MESSs) offer promising opportunities to elevate power distribution system resilience against emergencies. Despite remarkable growth in integration of renewable sources (RESs) (PDSs), most recovery and restoration strategies do not unlock full potential such resources due their inherent uncertainty stochasticity. This paper develops a novel mechanism PDSs for routing scheduling MESSs integrated with...

Multiple energy carriers (MECs) have been broadly engrossing power system planners and operators toward a modern standpoint in studies. Energy hub, though playing an undeniable role as the intermediate implementing MECs, still needs to be put under examination both modeling operating concerns. Since wind continues one of fastest-growing resources worldwide, its intrinsic challenges should also treated element crucial vision future networks. In response, this paper aims concentrate on online...

Confronted with the power system restructuring trend reforming past-regulated systems, need for a narrower insight on costly maintenance strategies seems imperative. It falls within realm of reliability centered to enhance cost effectiveness distribution policies. From practical point view, this paper devises novel approach basis analytical hierarchical process (AHP) accompanied by fuzzy sets theory determine most critical component types systems be prioritized in scheduling. In presence...

Although reliability-centered maintenance (RCM) has proven its noticeable merits in many industries, not been yet furnished with efficient analytical methods the power engineering context. The first of this two-paper set presents a practical framework by which RCM procedure can be implemented distribution systems. proposed algorithm consists three main stages. prerequisites analysis are outlined stage. In second stage, an approach is developed to identify network's critical components, from...

Global environmental variations in the past two decades have contributed to a significant deviation of classic ecological patterns, leading severe electricity outages triggered by extreme weather-driven phenomena. This has highlighted an urgent need for enhancing resilience and robustness interconnected grid against such high impact low probability (HILP) incidents. From electrical safety point view, it is essential increase operators' awareness on better understanding hazards...

The smart electricity grids have been evolving to a more complex cyber-physical ecosystem of infrastructures with integrated communication networks, new carbon-free sources power generation, advanced monitoring and control systems, myriad emerging modern physical hardware technologies. With the unprecedented complexity heterogeneity in dynamic grid networks comes additional vulnerability threats such as cyber attacks. Rapid development deployment network systems on one hand, growing...

This paper develops a new framework to coordinate the charging process of plug-in hybrid electric vehicles (PHEVs) in context energy hubs. Attempts are focused not only on impact evaluation PHEVs system technical performance, but also customers' preferences patterns. coordinator agent (PCA) is proposed run multiobjective optimization (MO) for optimal patterns from vehicle owners' and operator's viewpoint. Wind utilization charging, costs at hub input layer, convenience all taken into account...

Mobile power sources (MPSs), including mobile emergency generators, truck-mounted energy storage systems, and electric vehicles, have great potentials to be employed as grid-support resources during grid operating conditions supply the critical loads enhance resilience of distribution system (DS) via a swift disaster restoration. We here investigate MPS dispatch (i.e., routing scheduling) in coordination with DS dynamic network reconfiguration. propose two-stage restoration scheme facilitate...

This paper focuses on a fully distributed peer-to-peer control scheme for voltage regulation and reactive power sharing of multiple inverter-based energy resources (DERs) in ac microgrids. The proposed strategy is enabled through broadcast gossip communication, where each DER unit only requires local current measurement from its own some (but not all) nearby neighbors the control. Employing communication protocol with attractive scalability reliability properties, inputs can be updated to...

Accidents caused by faults on overhead power lines have been more frequently reported under extreme weather conditions and may strongly threaten the safety stability of grids, e.g., massive wildfires electrical arcs or getting in touch with vegetation, relay miss-operations, etc. It has widely recognized that electric concerns engendered line to be timely properly addressed minimize subsequent risks damages. The existing monitoring devices protective relays can barely detect high impedance...

Abstract The quantity and variety of parameters involved in the failure evolutions solder joints under a thermo-mechanical process directs reliability assessment electronic devices to be frustratingly slow expensive. To tackle this challenge, we develop novel machine learning framework for systems; propose correlation-driven neural network model that predicts useful lifetime based on materials properties, device configuration, thermal cycling variations. results indicate high accuracy...

This paper presents a new structure for non-isolated and non-inverting DC-DC converters with high voltage gain harnessing the fundamentals of lift technique. The proposed topology is suitable low applications. operation principles, steady-state relations, different switching strategies to further improve performance converter are described. A hybrid utilization complementary approach simultaneous two switches achieve highest in duty cycles. Furthermore, theoretical analysis power losses...

Accurate solar radiation forecasting is essential to operate power systems safely under high shares of photovoltaic generation. This paper compares the performance several machine learning algorithms for using endogenous and exogenous inputs proposes an ensemble feature selection method choose not only most related input parameters but also their past observations values. The used are: Support Vector Regression (SVR), Extreme Gradient Boosting (XGBT), Categorical (CatBoost) Voting-Average...

Safeguarding the nation's electrical infrastructure and personnel against natural man-made disasters, ensuring a continuous, reliable, resilient supply of energy are among top priorities for electric industry. In recent years, wildfires have been remarkably threatening safety security power grids demanding innovative frameworks ensured resilience. Our proposed approach focuses on mitigation wildfire disruptions that, once occur, can jeopardize well-being equipment personnel. The framework...

With the improvement of electricity-heat-carbon trading mechanism, it has been a trend for multiple virtual power plants (MVPP) to participate in market competition. Firstly, order mitigate burden environmental pollution and balance conflicting interests MVPP, this paper proposes Stackelberg game strategy operator MVPP considering ladder-type carbon price mechanism dual-compensated demand response (DR) which consists an optimal pricing energy scheduling each VPP. During process, serves as...

Day-to-day operation of the electricity grid generation, transmission, and distribution is environmentally driven closely dependent on evolving weather patterns. This paper introduces several new weather-driven analytics for accurate spatial-temporal generation forecasts, asset health reliability assessment, probabilistic load market simulations. A risk metric suggested, which accounts hazards, vulnerability, financial consequences in face changing patterns associated meteorological...

This paper proposes a two-stage energy management system (EMS) for power grids with massive integration of electric vehicles (EVs) and renewable resources. The first stage economic dispatch determines the optimal operating points charging stations battery swapping (BSS) EVs under plug-in modes, respectively. proposed stochastic model predictive control (SMPC) problem in this is characterized through chance-constrained optimization formulation that can effectively capture forecast...

Generation dispatch decision making integrated into a centralised wholesale electricity market has been always challenging concern for transmission system operators. The reason lies mainly in the complex and highly‐interconnected structure of grid, escalated demand, crisis amount price energy. For solutions to be highly reliable with an acceptable level accuracy, several factors need taken account, among which one can mention valve‐point effect, multiple fuel options, disjoint prohibited...

Different electric vehicle (EV) charging algorithms result in different EV load profiles, that if aggregated, influence the power grid operation. The existing demand models are either based on status upon arrival or smart reinforced with particular methods and/or levels. This article proposes a new data-driven approach for modeling. We first introduce mathematical model characterizes flexibility of demand. Advanced simulation procedures then proposed to identify parameters and simulate under...