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Optimal driving strategies for emergency operation of high‐speed trains using on‐board energy storage systems

The most popular intelligent optimization algorithms in train energy-efficient control are genetic algorithm [] and particle swarm algorithm [], but these methods may lead to sub-optimal solutions. To improve the solution quality, dynamic programming (DP) algorithm is proposed in [ 13 ], since DP has advantages in finding the global

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Energy Intelligence: The Smart Grid Perspective | SpringerLink

Smart grids utilize various power sources, automate the process of energy distribution and fault identification, facilitate better power usage, etc. Artificial Intelligence plays an important role in the management of power grids, making it even smarter. With the help of Artificial Intelligence and Internet of Things, smart grids can optimize

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Energy-Efficient Train Timetable Optimization in the Subway System with Energy Storage Devices | IEEE Transactions on Intelligent

Dong H Tian Z Spencer J Fletcher D Hajiabady S (2023) Coordinated Control Strategy of Railway Multisource Traction System With Energy Storage and Renewable Energy IEEE Transactions on Intelligent Transportation Systems 10.1109/TITS.2023.3271464 24

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WEVJ | Special Issue : Theory, Method and Application of New Energy and Intelligent

Intelligent transportation is a new generation of smart civil infrastructure that integrates IoT, big data, artificial intelligence, advanced sensing technologies, automated piloting, green energy, and sustainable and resilient materials working together to achieve high-quality road service and efficient operations.

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A review of optimal control methods for energy storage systems

Storage devices come in various sizes and serve different needs [11], [17]. For instance, the term grid-scale energy storage encompasses a number of technologies such as pumped hydroelectric storage, compressed air

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A Two-Step Method for Energy-Efficient Train Operation,

Abstract: This article proposes a novel two-step approach to concurrently optimize the train operation, timetable, and energy management strategy of the onboard energy storage

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A comprehensive review of energy storage technology

Section 7 summarizes the development of energy storage technologies for electric vehicles. 2. Energy storage devices and energy storage power systems for BEV Energy systems are used by batteries, supercapacitors, flywheels, fuel

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In-plane micro-sized energy storage devices: From device fabrication to integration and intelligent designs

RF energy, thermal energy, and biomass energy have less energy dense and can be used as auxiliary power sources for small wearables. The combination of the energy harvesting system and the micro energy storage unit enables the continuous power supply of wearables in different circumstances of daytime, nighttime, indoor and outdoor.

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(PDF) Artificial intelligent controller-based energy management system for grid integration of PV and energy storage devices

Artificial intelligent controller-based energy management system for grid integration of PV and energy storage devices May 2022 Indonesian Journal of Electrical Engineering and Computer Science 26

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Energy Storage

They are the most common energy storage used devices. These types of energy storage usually use kinetic energy to store energy. Here kinetic energy is of two types: gravitational and rotational. These storages work in a complex system that uses air, water, or heat with turbines, compressors, and other machinery.

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A Review of Energy Storage Technologies Comparison and

Various energy storage (ES) systems including mechanical, electrochemical and thermal system storage are discussed. Major aspects of these technologies such as the round

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Energy-Efficient Train Timetable Optimization in the Subway

With this consideration, this paper particularly investigates a train timetable problem in a subway system, which is equipped with a series of energy storage devices at stations. A nonlinear integer programming model is formulated to maximize the utilization

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Energetics Systems and artificial intelligence: Applications of industry

AI technologies improves efficiency of energy management, usage, and transparency. •. AI helps utilities provide customers with affordable energy electricity from complex sources in a secure manner. •. Sustainability of industry 4.0 is described from policy recommendations and opportunities.

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(PDF) Energy-efficient train driving strategy considering the on

Based on the classic energy-efficient driving strategy approach, this paper studies the influence of the on-board energy storage on the optimal train driving strategy.

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Optimal driving strategies for emergency operation of

Different methods have been proposed to generate this energy-efficient speed profile while adhering to given trip time, which can be divided into indirect methods and direct methods. Indirect methods

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Energy Storage Materials | Accelerating Scientific Discovery in Materials for Energy Storage using Artificial Intelligence

Artificial Intelligence (AI) is paving the way towards new ways of doing research and optimize systems. This Special Issue welcome contributions in the form of original research and review articles reporting applications of AI in the field of materials for energy storage.

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An intelligent and portable power storage device able to visualize the energy

:. Electrochromic power storage devices integrate energy storage and electrochromic behavior into a single full cell that can enable the visualization of the energy status by the naked eyes. One challenge for achieving practical applications is to develop intelligent and portable all-inorganic electrochromic power storage devices.

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Research on intelligent energy management method of

Reserch highlight 1:A typical physical architecture of the multifunctional charging station with photovoltaic power generation and battery energy storage was designed. Then considering the market price signal, charging load, PV power fluctuation and other uncertain

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Joint optimization combining the capacity of subway on‐board energy storage device and timetable

On-board energy storage devices (OESD) and energy-efficient train timetabling (EETT) are considered two effective ways to improve the usage rate of regenerative braking energy (RBE) of subway trains. EETT is less costly but has lower ceilings, whereas OESD, although expensive, maximizes the reuse of RBE.

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Digital Microscale Electrochemical Energy Storage Devices Helps to Build a Fully Connected and Intelligent

Ideal construction process of digital microscale electrochemical energy storage devices (Image by SHI Xiaoyu and HOU Xiaocheng) The researchers indicated that a fully connected and intelligent world required different electronic devices to possess highly designable and customizable properties, in order to achieve seamless integration

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Review of intelligent energy management techniques for hybrid

3 · This comprehensive model integrates a three-dimensional kinematic model, energy collection model, aerodynamic model, energy loss model and energy storage model. The model employs the Gauss pseudo-spectral method to discretize state equations and constraint equations, thereby resolving the intricate nonlinear optimal control problem

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Application of composite energy storage device in ship electric

where, ΔE b,j, represents the energy change of the battery.ΔE c,j represents the energy change of the ultracapacitor; E max, said the ship Variation of maximum load energy of ship electric propulsion system, P b,i, represents the compensation power of the battery, P c,i, represents the compensation power of the ultracapacitor

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Energy-efficient Train Control Considering Energy Storage Devices

The optimization of the train speed trajectory and the traction power supply system (TPSS) with hybrid energy storage devices (HESDs) has significant potential to reduce electrical energy consumption (EEC). However, some existing studies have focused predominantly on optimizing these components independently and have ignored the goal

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Joint optimization combining the capacity of subway

On-board energy storage devices (OESD) and energy-efficient train timetabling (EETT) are considered two effective ways to improve the usage rate of regenerative braking energy (RBE) of subway

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Energies | Special Issue : Intelligent Management and

The Special Issue, therefore, seeks to contribute to the energy storage agenda through enhanced scientific knowledge related to intelligent management, control, power electronics, and novel ESSs with application

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A comprehensive review of wind power integration and energy storage

1.4. Paper organized In this paper, we discuss renewable energy integration, wind integration for power system frequency control, power system frequency regulations, and energy storage systems for frequency regulations. This paper is organized as follows: Section 2 discusses power system frequency regulation; Section 3 describes

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(PDF) Data Security Storage Method for Power Distribution Internet of Things in Cyber-Physical Energy

The existing cloud storage methods cannot meet the delay requirements of intelligent devices in the power distribution Internet of Things (IoT), and it is difficult to ensure the data

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Application of Artificial Intelligence in Next-Generation Battery Energy Storage

Battery energy storage systems, as the key to achieving carbon neutrality and carbon peaking in countries around the world, have been rapidly developed in recent years. Lithium-ion batteries (LIBs) that have been commercialized generally use organic electrolyte as

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Energy storage systems: a review

Thus to account for these intermittencies and to ensure a proper balance between energy generation and demand, energy storage systems (ESSs) are regarded

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Energy storage

Energy storage is the capture of energy produced at one time for use at a later time [1] to reduce imbalances between energy demand and energy production. A device that stores energy is generally called an accumulator or battery. Energy comes in multiple forms including radiation, chemical, gravitational potential, electrical potential

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Train Speed Trajectory Optimization With On-Board Energy

With the rapid development of energy storage devices (ESDs), this paper aims to develop an integrated optimization model to obtain the speed trajectory with the constraint of on

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Mobile battery energy storage system control with knowledge

Similar to the rolling optimisation method, the system can control the movement, charge, and discharge of mobile battery energy-storage devices at a certain frequency in real time. The key concept of this framework is based on two assumptions.

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Mobile battery energy storage system control with

Based on BESSs, a mobile battery energy storage system (MBESS) integrates battery packs with an energy conversion system and a vehicle to provide pack-up resources [ 2] and reactive

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Full-temperature all-solid-state dendrite-free Zn-ion electrochromic energy storage devices for intelligent

Full-temperature all-solid-state dendrite-free Zn-ion electrochromic energy storage devices for intelligent applications Author links open overlay panel Lei Liu a b, Mingshuo Zhen b, Liyong Wang a, Bin Li c, Chengfu Deng d, Zhixing Zhang a, Xiangqian Fan a, Ning Li

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The Future of Energy Storage

4 MIT Study on the Future of Energy Storage Students and research assistants Meia Alsup MEng, Department of Electrical Engineering and Computer Science (''20), MIT Andres Badel SM, Department of Materials

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Intelligent energy management strategy of hybrid energy storage

To achieve optimal power distribution of hybrid energy storage system composed of batteries and supercapacitors in electric vehicles, an adaptive wavelet transform-fuzzy logic control energy management strategy based on driving pattern recognition (DPR) is proposed in view of the fact that driving cycle greatly affects the

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IoT-based intelligent energy management system for optimal planning of HVAC devices

An intelligent energy management system is developed for a real net-zero emissions photovoltaic-battery building. • Data-driven models are developed to forecast future photovoltaic generation, baseload, and room thermal dynamic. •

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About energy storage method of intelligent trip device

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