The electric vehicles' (EVs) rapid growth can potentially lead power grids to face new challenges due load profile changes. To this end, a method is presented forecast the EV charging station loads with machine learning techniques. plug-in hybrid EVs (PHEVs) be categorized into three main techniques (smart, uncoordinated, and coordinated). have good prediction of future PHEV in article, Q-learning technique, which kind reinforcement learning, used for different scenarios. proposed technique...

This paper addresses the optimal operation and scheduling of reconfigurable microgrids incorporating dynamic line rating limitations during islanded grid-connected mode operations. The incorporation overhead feeders can potentially improve system security when providing economical technical benefits for microgrid. proposed framework takes into account a realistic formulation to minimize total microgrid costs in both multiperiod modes. Also, stochastic based on unscented transform is model...

Power grid resilience, reliability, and sustainability can be improved significantly by decomposing the large grids into networked microgrids (NMGs). However, optimal energy management problem preserving security in NMGs are more complicated challenging. This paper aims to propose a secured stochastic framework for based on modified blockchain approach, utilizing directed acyclic graph (DAG). Using decentralized transparent technology will help have higher lower risks within network, thus...

This paper aims to investigate the optimal scheduling of stochastic reconfigurable hybrid ac-dc microgrid (MG) in presence renewable energies and also considering dynamic line rating (DLR) constraint. DLR is a practical limitation that can potentially affect ampacity lines, particularly islanded mode when lines reach their maximum capacity lack main generation source at point interconnection with utility. In order prevent overloading reconfiguration technique developed change topology...

This paper investigates the impact of uncoordinated, coordinated, and smart charging plug-in hybrid electric vehicles (PHEVs) on optimal operation microgrids (MGs) incorporating dynamic line rating (DLR) security constraint. The DLR constraint, particularly in islanding mode, influences ampacity MG feeders, when distribution lines reach their maximum capacity. To overcome any outage or contingency situation, PHEVs are utilized to help improve grid security. However, using can cause higher...

Power grid resilience, reliability, and sustainability can be improved by decomposing the large-scale grids into Networked Microgrids (NMGs). However, different MGs may have roles policies. Hence, in comparison with conventional networks, optimal energy management, as well reconfiguration of NMGs is more completed challenging. This article develops a three-layer cloud-fog computing architecture for management reconfigurable considering dynamic thermal line rating (DLR) constraint. DLR...

This paper investigates the false data injection attacks (FDIA) in an AC smart island and detection solution of attack on distributed energy resources a island. In this study, new scheme FDIA is proposed based wavelet singular values as input index deep learning algorithm. method, switching surface sliding mode control breaks down for adjusting accurate factors transform then features coefficients are extracted by value decomposition. Indexes determined according to voltage current which...

Industrial Internet of Things (IIoT) is an architecture that facilitates the feasibility distributed control modernized industrial systems mainly through and cloud computing. This article proposes optimal scheduling framework for real-time operation smart microgrids in IIoT environment using average consensus-based algorithm. The introduced suggests a fog layer as complementary to reduce latency provide local computation data storage proposed industry. Security system against probable...

This article proposes a two-layer in-depth secured management architecture for the optimal operation of energy internet in hybrid microgrids. In cyber layer proposed architecture, two-level intrusion detection system (IDS) is to detect various cyber-attacks (i.e., Sybil attacks, spoofing false data injection attacks) on wireless-based advanced metering infrastructures. The sequential probability ratio testing approach utilized both levels IDS based sequence anomalies rather than only one...

Abstract The development of advanced and intelligent measurement instruments in recent years has increased the intelligence modern energy systems, especially power systems. Besides, with advancement conversion technologies, these systems benefit from multi‐carrier resources. Accordingly, this paper presents a model smart city which considers various components, including transportation system (STS), microgrid (MG), hub (SEH) ability transformation. proposed addresses islanded operation that...

This paper introduces a novel Internet of Thing (IoT) enabled approach for optimizing the operation costs and enhancing network reliability incorporating uncertainty effects energy management in multi-carrier Energy Hub (EH) integrated systems (IES) with renewable resources, Combined Heat Power (CHP) Plug-In Hybrid Electric Vehicle (PHEV). In proposed model, optimization process different carriers Multi Hubs (MEH) considers price-based demand response (DR) program MEH electrical thermal...

Structural sizing can be performed to determine the optimal size of components incorporated in a multi-carrier energy system, modeled as an hub. This paper proposes dynamic structural for residential hubs, consisting combined heat and power unit, gas boiler, photovoltaic (PV) electrical storages. The horizon time planning is divided into sub-horizons, decisions installing are made each sub-horizon. objective minimize customer costs, including investment costs hub operation cost during time....

Intentional islanding can be considered as the last action to prevent power grids from severe blackouts. In this strategy, endangered network is deliberately decomposed into self-sustained islands improve grid resilience, reliability, and security. way, paper develops a novel optimal intentional solution deal with deliberate physical attacks on system. The proposed employs modified multi-layer constrained clustering method based graphs via subspace analysis Grassmann manifolds clustering....

Decomposing the large distribution grids into interconnected microgrids (MGs) can potentially enhance power system's efficiency, sustainability, resiliency, and reliability. However, energy management within entire network would be more complicated challenging. This article develops a novel framework for MGs based on blockchain technology. Utilizing technology system security, also reduce risks, mitigate financial fraud, cut down operational cost. A priority list is first defined to get an...

This paper focuses on a powerful and comprehensive overview of Deep Learning (DL) techniques Distribution Automation System (DAS) applications to provide complete viewpoint modern power systems. DAS is crucial approach increasing the reliability, quality, management distribution networks. Due importance development sustainable security DAS, use DL data-driven technology has grown significantly. have blossomed rapidly, been widely applied in several fields are suitable for dynamic,...

The fuel consumption and pollutant emissions of vehicles can significantly be reduced by adding an electric drivetrain to the internal combustion engine (ICE) without deteriorating vehicle performance. One best suggestions achieve such a goal is plug-in hybrid (PHEVs). In PHEVs, design efficient energy management strategy plays significant role. this paper, new control proposed for parallel PHEV keep ICE operation points close high-efficiency region, while minimizing over standardized drive...

This article proposes a deep learning based approach for cyber attack detection in the vehicles. The proposed method is constructed on generative adversarial network (GAN) classification to assess message frames transferring between electric control unit (ECU) and other hardware vehicle. To this end, two networks called generator (G) discriminator (D) will run an game fool each other. In such process, most optimal structure found which distinguish model normal behavior abnormalities. Due...

This paper tries to employ a fuzzy logic (FL) controller type II control the Cascaded H-Bridge (CHB) active rectifier. has strong performance, specially, when low switching frequency Selective Harmonic Elimination (SHE) method is used. In order regulate all of DC link voltages, optimum voltage balancing strategy in modulation technique used proposed method. Finally, performance and effectiveness validated MATLAB environment. All simulation result been simulated by software.

This paper proposes a resilient and secure configuration for coastal distribution grids by integrating the security constraint unit commitment (SCUC) mobile marine microgrids (MMMGs). In proposed configuration, MMMGs can be connected to in both normal post-disaster operations. It is assumed that SCUC networks include dispatchable (e.g., gas turbines diesel generators) nondispatchable generators photovoltaics wind turbines). The problem consists of realistic formulations seek minimize total...

This paper studies the problem of networked polynomial state feedback control using sum square (SOS) approach considering network-induced varying delay. The stabilisation conditions are achieved based on Lyapunov-Krasovskii stability theory. proposed is SOS decomposition numerical method which applies a input to stabilise system states. Finally, simulation done demonstrate effectiveness method.

Cooperating interconnected microgrids with the Distribution System Operation (DSO) can lead to an improvement in terms of operation and reliability. This paper investigates optimal scheduling highly penetrated by renewable energy resources (DERs). Moreover, efficient stochastic framework based on Unscented Transform (UT) method is proposed model uncertainties associated hourly market price, load demand DERs output power. Prior management, a newly developed linearization technique employed...

In the day-ahead power systems scheduling, system operators formulate and solve unit commitment (UC) problem to determine ON/OFF status dispatch of generating units. Although various methods have been presented UC problem, it is a mixed-integer optimization which hard find its global optimum solution. this paper, new teaching-learning-based (TLBO) technique, an evolutionary algorithm, employed problem. The application TLBO on include two phases, teaching learning phases. A set population...

In this paper, a new dual function fault current limiter-dynamic voltage restorer (FCL-DVR) topology is proposed. The proposed structure, in addition to performing routine FCL tasks, can be used improve the quality of point common coupling (PCC). A salient feature FCL-DVR its reduced number semiconductor switches and gate drive control circuit components. Perhaps, variety structure have been but most distinctive lower power loss. operation modes strategy presented studied. addition, has...