To study the impact of personal carbon trading (PCT) mechanism on economy and reliability power distribution system operation, this paper proposes an orderly charging discharging strategy for electric vehicles (EVs) that integrates a dynamic update tariff revenue, taking into account travel characteristics EVs users' willingness to respond. First, probability density time parameters is calculated based improved kernel estimation method. Second, emissions at each stage lifecycle are using...

Battery State of Health (SOH) estimation is crucial for providing valuable information optimizing battery usage and improving efficiency. Considering the uncertainties in charging behavior during practical usage, this paper proposes an ensemble model based on improved long short-term memory (LSTM) neural network. The takes random segments curves as input to estimate SOH lithium-ion batteries. In paper, a multi-layer LSTM network with attention mechanism proposed base learner. Then, multiple...

With the continuous development of society and economy popularization environmental protection concept, more people have begun to turn electric vehicles. The application vehicles can effectively avoid damage caused by automobile fuel emissions surrounding environment promote utilization new energy. However, vehicle industry has led frequent accidents related charging safety. In order prevent safety ensure proper passengers people, methods become research priorities for scholars. This paper...

Accidents involving electric vehicle fires have increased as the number of vehicles has grown recently. The issue charging safety is a key barrier to growth sector because these accidents resulted in large financial losses for car owners and facility operators. approach resolving through an warning system suggested this research. solution uses adaptive optimization long short-term memory neural network (A-LSTM) forecast voltage changes throughout whole process by using vehicle's daily...

Battery cell voltage is an important evaluation index for electric vehicle condition estimation and one of the main monitoring parameters battery management system, accurate prediction crucial failure warning. Therefore, this paper proposes a novel hybrid gated recurrent unit long short-term memory (GRU-LSTM) neural network to predict lithium-ion voltage. Firstly, Pearson coefficient correlation analysis carried out determine input by analyzing influence factors parameters, hyperparameters...

The charging problem becomes prominent with the increasing number of electric vehicles. It is necessary to built station (CS), like gasoline station, satisfy recharging and be convenient for drivers. In this paper, a new type integrated renewable energy source was studied. A hierarchical management strategy oriented real-time application proposed handle uncertainties. To determine optimal size CS by considering multiobjective including economic, environment battery storage system...

Power grid side charging and equipment for safety of electric vehicles are analyzed. Based on different modes, this paper aims to optimize the structure designing in safe mode. Facing future, connect with power grid, which become focus field. It analyzes equipment, introduces measures two aspects: safety. The feasibility improving quality vehicle is studied, optimal solution strategy put forward. According measurement information battery using conditions, internal temperature system can be...

A hierarchical distributed energy management for multiple photovoltaic (PV) based electric vehicle (EV) charging stations (PV-CSs) is proposed and analyzed in this paper. In the station level, PV-CSs are modelled as independent players with objectives to stabilize their average available capacity (AAC) of storage battery tank. Meanwhile, EV owners modeled maximize power. Then a two level power distribution game utilized model problem both level. Through utilizing consensus network learning...

Abstract The promotion and application of electric vehicles will contribute to the solution several problems, such as energy shortage environmental pollution, achievement country economy security. But a large-scale vehicle-to-grid system may cause adverse effects in distribution network operation, power planning other parts. First, this paper collects factors that influence vehicle charging load establishes EV model with Monte-Carlo method. Then, we analyze effect made on nodal voltage...

Energy management of virtual power plants (VPPs) directly affects operators’ operating profits and is also related to users’ comfort economy. In order provide a reasonable scheme for scheduling each unit the VPP improve VPP, this study focuses on optimization energy under premise ensuring flexible load users. First, loads are divided into time-shiftable (TL), power-variable (PL), interruptible (IL), their accurate consumption models established, respectively. Then, aiming at maximizing...

This paper proposes a decentralized scheduling method for electric vehicles charge and discharge management based on cloud-edge collaboration so as to protect users' privacy. Firstly, cloud computing center, distribution system operator solves an optimal power flow model second-order cone programming in order minimize costs. Secondly, edge unit, charging station energy mixed-integer linear track instructions of the operator. Finally, stations return benders cut constraints revise plan. And...

The poor tear resistance of silicone rubber dramatically limits its application range.In this study, a topological entanglement structure molecular chains was constructed at the interface between matrix and silica by introducing epoxidized into rubber/silica composites.We found that topologically entangled could improve crack propagation composites inducing orientation chains.The results showed adding 5 phr 15% epoxy raised composite's strength elongation break, they increased 330% 140%,...

Abstract When participating in demand response, the industrial adjustable load has advantages of large capacity, high benefit, and easy management compared with commercial residential loads. However, stage production process is strongly coupled power consumption process, especially steel industry. Here, a multi‐objective optimization model for optimal scheduling hot rolling considering actual operation conditions was proposed, abstracted into vehicle routing problem (VRP) ,which typical...

There is a large uncertainty in the participation of electric vehicle (EV) users demand response, which brings great challenges to optimal scheduling EVs, this paper proposes an method for EV clusters response issue. Firstly, user described by number intervals, and model established. Secondly, fuzzy C-means clustering used cluster EVs connected power grid, energy boundary After that, constructed that takes into account with goal minimizing variance regional load fluctuation maximizing...

With the increase of fire problems new energy vehicles (EVs), more and attention has been paid to charging safety. Firstly, safety protection strategies in power grid are summarized from side, equipment vehicle operation platform a solution for side is proposed. Secondly, with regards building early warning system architecture, real-time strategy EV proposed; battery temperature difference, voltage ramp rate, current rate double-layer model an active layer big data established based on...

The reasonable arrangement of the charging station, infrastructure used to charge electric vehicle, is vital for promotion vehicles. As highways, a highway station planning method based on dynamic traffic flow simulation proposed in this paper. First, running and demands vehicles highways are analyzed; second, considering interests investors vehicle owners, mathematical model constructed specify objective function; thirdly, suitable condition proposed; finally, provided, validity...

Reliable safety warning and fault diagnosis methods for lithium batteries are prerequisites the safe stable operation of electrochemical energy storage power stations. In view current lack failure data battery system in stations, certain risk experiments on batteries, this paper generates based equivalent circuit model lithium-ion puts forward a new type diagnostic method that combines Temporal Convolutional Network Bidirectional Long Short-Term Memory (TCN-BiLSTM) model. Firstly, neural...

Reliable safety warning and fault diagnosis methods for lithium batteries are prerequisites the safe stable operation of electrochemical energy storage power stations. In view current lack failure data battery system in stations, certain risk experiments on batteries, this paper generates based equivalent circuit model lithium-ion puts forward a new type diagnostic method that combines Temporal Convolutional Network Bidirectional Long Short-Term Memory (TCN-BiLSTM) model. Firstly, neural...

Abstract With the improvement of digitalization and intelligence in power system, safe operation system is facing enormous challenges. The use electricity on load side key to achieving reliable operation. detection party needs amounts human material resources when network attacked. In response current difficulties low ability high costs, this paper proposes an attack defence game model that considers differences between different nodes, ensuring safety economy consumption while reducing...