In recent years, aiming to reduce the metropolitan air pollution caused by fossil fuel-powered vehicles, electrification of transportation, such as electric vehicles (EVs) and buses (EBs), has attracted great attention from automobile industry, academia, public transportation. EBs, driven decarbonized electricity, can noise level. Besides, they also recover electricity regenerative braking. Recent years have witnessed continuous works on topics EB energy storage, power management, charging...

Load shedding has been one of the most widely used and effective emergency control approaches against voltage instability. With increased uncertainties rapidly changing operational conditions in power systems, existing methods have outstanding issues terms either speed, adaptiveness, or scalability. Deep reinforcement learning (DRL) was regarded adopted as a promising approach for fast adaptive grid stability recent years. However, DRL algorithms show two when being applied to system...

In the future, smart grid charging stations will be critical infrastructures for plug-in electric vehicle (PEV) to replenish their batteries in a convenient way. Due ever-increasing penetration rate of PEVs, how efficiently manage loads PEV ensure system efficiency and reliability is major challenge faced by distribution service providers (DSPs) grid. This further complicated highly dynamic mobility, which results random arrivals, departures, demands. order address this challenge, stochastic...

Collaborative beamforming (CB) has recently emerged as a promising technique for transmission range extension and energy consumption reduction in wireless sensor networks (WSNs). However, due to the constrained limited data processing capabilities of nodes, performance optimization CB mainlobe sidelobe control (SC) encounters challenges practical deployment. To address these challenges, we present an architecture software-defined harvesting WSN (SD-EHWSN) communications. Specifically, first...

Along with the increasing electric bus (EB) penetration, impact of extensive charging load on distribution system has been aggravating. To mitigate such impact, energy storage systems (ESSs) and photovoltaic (PV) are usually installed in EB transit centers (EBTCs). In this article, a three-layer stochastic management approach is proposed for EBTCs to reduce operation cost while maintaining local voltage quality. first layer, modified robust optimization over time (ROOT) developed obtain...

Abstract A novel framework for adaptive energy management, rooted in deep learning principles, is proposed to minimize fuel consumption extended‐range electric vehicles amidst intricate driving scenarios. This innovative approach integrates a long short‐term memory (LSTM) network pattern recognition across three patterns and an fuzzy controller. To mitigate the impact of poor hyperparameter selection on accuracy, Gray Wolf Optimization employed optimize hidden layer nodes, training times,...

The insulation system of a dry-type transformer under the combined thermal, electrical, mechanical, and environmental stresses undergoes gradual deterioration, which ultimately leads to failure. It is hence important test specimen coil so as explore aging law associated characteristic parameters related condition. This paper proposes method evaluate reliability based on three models degradation, regression expert judgment. are developed quality (QPs) from lab tests. illustrated by estimating...

With the growing adoption of electric vehicles (EVs) and advent bidirectional chargers, EV aggregators, such as charging stations, will become a major player in electricity markets, providing voltage regulation (VR) or other services. We present novel practical VR scheme that takes advantage flexibility EVs stations are connected to buses distribution grid. This relies on real-time measurements, well estimates system state capacity each station. then propose false data injection attack...

Along with the diversification of electricity market, voltage regulation (VR) service is opened up to various qualified providers meet enormous demand, among which, electric vehicle (EV) aggregators (AGGs) can integrate scattered EVs and play role VR sources a high response speed low cost. In order coordinate satisfy total requirement, auction mechanisms are widely used select achieve better performance. Yet, it challenging optimize strategy each EV AGG in process due stochastic mobility,...

Along with the battery technology advancements and government policy support, penetration level of electric buses (EBs) in urban public transportation system has been increasing recent years. Considering potential influence EB charging demand on power systems, estimating real-time energy consumption EBs become a principal issue. In this work, data-driven approach for estimation is proposed. particular, detailed physical model constructed to its considering randomness operation, including...

Study on how renewable power generation (RPG) can be used efficiently and effectively in distribution networks is open ongoing. Here, a bi-level model proposed to optimise the allocation of photovoltaic (PV), wind turbine (WT), energy storage system (ESS) networks. At upper level, genetic algorithm (GA) capacity PV WT each bus by minimising cost investment maintenance (I&M), purchase, losses, considering constraints RPG penetration limit, flow equation, voltage limits, feeder limits. lower...

Due to an ever-increasing market penetration of plug-in hybrid electric vehicles (PHEVs), the charging demand is expected become a main determinant load in future distribution systems. In this paper, we investigate problem controlling in-home PHEVs accomplish peak shifting while maximizing revenue service provider (DSP) and PHEV owners. A leader-follower game model proposed characterize preference expectation owners DSP, respectively. The follower (PHEV owner) decides when start based on...

Abstract The Media Access Control (MAC) mechanism of intelligent vehicle communication network meets a new challenge due to the multiple load data traffic and high speed mobility. This paper proposes hybrid MAC which takes advantages both TDMA CSMA mechanism. is based on TDMA, while added in time slots improve slot utilization low networks. Through simulation NS2 we compare results protocol with those using individually. It verified that terms flexibility reliability channel utilization,...

Performance analysis of a low power rating and partially loaded industrial gas turbine engine (GTE) was carried out by using model-free data analytic approach. By adopting an efficient input selection method, several performance indices (PI) are proposed to quantify the GTE. These extracted operating related output parameters fuel consumption, validated with monitoring measurements for three year period corresponding one time between overhaul intervals. The dependency PIs on ambient...

In recent years, the increasing concerns on environmental issues have promoted development of alternatives for urban mobility and public transportation. Specifically, electric buses (EBs) attracted significant attention due to flexibility, sustainability, excellent performance in terms reducing greenhouse gas emissions. Because capital cost EB batteries, how optimize charging scheme EBs order extend battery lifetime is a major challenge faced by transit service providers. This complicated...

The intermittent characteristics of photovoltaic generation present a challenge in its promotion and application urban loads on the distribution network level. Integrated construction generation, battery storage stations, electric vehicles (EVs) provides reasonable solution for applications cities. With increase EVs, business districts (BDs) have become popular EV charging parking. By considering power commuter demand, new BD framework is proposed this paper; includes swapping area, quick...

The development of alternatives for urban mobility and public transportation has been promoted by the increasing concerns on environmental issues in recent years. Along with evolution battery technology charging/discharging control methodology, diesel buses have replaced electric (EBs) gradually. In order to satisfy charging demand EBs, photovoltaic (PV) energy storage system (ESS) are usually installed on- site, which can not only guarantee sufficient power supply transit center, but also...

As the penetration level of plug-in hybrid electric vehicles (PHEVs) increases, charging demand PHEVs is expected to have a major impact on loading distribution systems. Charging access control, which determines starting time PHEV charging, critical mitigate such impact. In this paper, we investigate how achieve control by leveraging electricity price set retailer and speculative prices owners. A firm-union bargaining game approach proposed study interactions between order eliminate...

The availability of new technologies in the areas digital electronics, communications, internet, and computer opens a door to build smart grid, which can increase significantly capacity, services intelligence power systems. This paper proposes distribution network management cloud platform based on Tekla Xpower. Proposed system support implementation current grid and/or coming grid. Utilizing existing computing storage installations, integrate resources improve computation capacities, data...

With the proliferation of renewable energy sources and elevation environmental concerns, it is expected that microgrids will become one major means for residential supply. However, distributed nature microgrid operation brings new technical challenges to management. Endowing wireless communication capability generation (DG) units storage (ES) devices in a beneficial their cooperation without centralized controller. Yet, how establish management \emph{a priori} statistical information all DG...

Due to characteristics of random fluctuations and intermittence, large-scale wind power integration will worsen grid stability quality. According code, a limit ramp rate for both 1 minute 10 minutes should be put on the interconnected power. Using energy storage system is an effective way smooth farm output. high cost system, control state BESS charge discharge acquiring maximum utility limited improve output quality becomes increasingly significant. A coordinated method out ramping as...

A high speed real-time wavefront processing system for a solid-state laser beam cleanup has been built. This consists of core2 Industrial PC (IPC) using Linux and (RT-Linux) operation (OS), PCI image grabber, D/A card. More often than not, the phase aberrations output from lasers vary fast with intracavity thermal effects environmental influence. To compensate successfully, is presented. Compared to former systems, this can improve efficiently. In new system, acquisition data, control...