Charging station that incorporates renewable energy resource and storage is a promising solution to meet the growing charging demand of electric vehicles (EVs) without need expand distribution network. The aggregation multiple resources EVs requires an efficient flexible management strategy. This article presents two-stage scheme solve power allocation coordination plugged-in EVs. Game-theory-based control utilized address interaction among different components for respecting their...

In recent years, electric vehicle (EV) charging stations have witnessed rapid growth. However, effective management of is challenging due to individual EV owners' privacy concerns, competing interests different stations, and the coupling distribution network constraints. To cope with this challenge, paper proposes a two-stage scheme. first stage, aggregate power flexibility region derived by solving an optimization problem. We prove that any trajectory within obtained corresponds at least...

Electric vehicle (EV) charging stations have experienced rapid growth, whose impacts on the power grid become non-negligible. Though can install energy storage to reduce their grid, conventional "one station, one storage" method may be uneconomical due high upfront cost of storage. Shared a potential solution. However, effective management with shared in distribution network is challenging complex coupling, competing interests, and information asymmetry between different agents. To address...

Regional data center clusters have flourished in recent years to serve customers a major city with low latency. The optimal coordination of centers regional cluster has become pressing issue because their rising energy consumptions. In this paper, an online algorithm based on Lyapunov optimization framework is developed for the combined computing workload and cluster. proposed prediction-free easy implement. We prove that queues battery level will be within physical limits, though related...

Charging stations not only provide charging service to electric vehicles (EVs), but also integrate distributed energy sources. This integration requires an appropriate planning achieve the future sustainable distribution network. Real EV demand is stochastic and affected by many uncertainties, which pose challenges of a station. study presents model station with photovoltaic (PV), battery transformer, mainly considering uncertainties from PV power generation. Firstly, comprehensive...

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...

Abstract Electric vehicles (EVs), as a new type of dispatchable resource in distribution networks, can help local energy consumption and enhance grid security. In this paper, method for evaluating optimizing the dispatching adjustable resources electric considering cross-station mutual aid is proposed. Firstly, Long Short-Term Memory (LSTM) network model used to predict power demand charging posts number Evs, then consumer psychology constructed evaluate EVs by extra time cost factors...

In recent years, electric vehicle (EV) charging stations have experienced an increasing supply-demand mismatch due to their fluctuating renewable generation and unpredictable demands. To reduce operating costs, this paper proposes a distributed online algorithm promote energy sharing between stations. We begin with the offline centralized version of EV operation problem, whose objective is minimize long-term time-average total cost. Then, we develop implementation approach based on Lyapunov...

The widespread deployment of distributed renewable energy sources and electric vehicles can help mitigate climate crisis. This necessitates new business models in the power sector to hedge against uncertainties while imposing a strong coupling between connected transportation networks. To address these challenges, this paper first proposes an sharing mechanism considering AC network constraints encourage local exchange system. Under proposed mechanism, all prosumers play generalized Nash...

Charging station powered by renewables combines both the and electric vehicles, has much possibility to be a key charging infrastructure. As number of vehicles increase, recharging problem will become urgent prominent. So satisfying more demand at same time is expected for station. In this paper, we present integrated with photovoltaic system/battery storage/grid-tied system power dispatch method in an vehicle station, based on non-cooperative game achieves dynamically adjusting power. The...

As an essential measure to combat global warming, electric vehicles (EVs) have witnessed rapid growth. Flexible EVs can enhance power systems' ability handle renewable generation uncertainties. How EV flexibility be utilized in grid operation has captured great attention. However, the direct control of individual is challenging due their small capacity and large number. Hence, it aggregator that interacts with on behalf by characterizing aggregate flexibility. In this article, we focus...

Data centers (DCs) have witnessed rapid growth due to the proliferation of cloud computing and internet services. The huge electricity demand associated carbon emissions DCs great impacts on power system reliability environmental sustainability. This paper proposes a bilevel model for low-carbon operation via carbon-integrated locational marginal prices (CLMPs). In upper level, operator sequentially solves optimal flow emission problems determine CLMPs. lower joint workload sharing trading...

This paper studies a photovoltaic (PV) based electric vehicle charging station. It consists of multiple energy components: PV panel, battery and transformer. There exist uncertainties inside the system: stochastic behavior vehicles (EV s) intermittent nature power generation, which present challenges to design entire system components. In this paper, EV demand model is firstly developed. Then, optimal components sizing problem station formulated minimize economic cost. formulation,...

Behaviour-based distributed energy management for charging electric vehicles (EVs) in photovoltaic (PV) station (CS) has been introduced this paper. Based on the provider or consumer of power, CS and EVs are modeled as independent players with different preferences. The distribution problem is a noncooperative stackelberg game existence equilibrium among proofed at each control instant. Update Charging powers fashion implemented through utilising learning-based consensus network. Static...

This paper studies a game-theoretic energy management for hybrid electric vehicle (HEV), combining of engine-generator, battery and ultracapacitor (UC). Each source has different utility function with preference. Here, we use strategy to dispatch power because it can represent preferences components. In addition, velocity prediction (VP) is proposed improve the basic strategy, ie., without prediction. recurrent neural network long short term memory (RNN-LSTM) structure implemented predict...

With the widespread of consumer electronics, household appliances and electric vehicle (EV), energy consumption is gradually increasing. To reduce burden distribution grid meet growing demand, photovoltaic (PV) panels storage could be introduced deployed at home. Thus, home system becoming an integrated multiple including grid, PV panels, battery storage, EV loads. An efficient management important for to save cost comprehensively utilize their distinct characteristics. In this paper,...

The increasing electric vehicle (EV) adoption challenges the energy management of charging stations (CSs) due to large number EVs and underlying uncertainties. Moreover, carbon footprint CSs is growing significantly rising power demand. This makes it important for properly manage their usage ensure stay within emission quotas. paper proposes a two-stage online algorithm this purpose, considering different time scales trading. In first stage, CS characterizes real-time aggregate EV...

It is meaningful for evaluating carbon emission of battery packs electric vehicles in their whole life cycle.In this paper, we give a new method to estimate cycle.The aims at different kinds and recycle methods reasonably, which can be useful energy conservation reduction as well.

Abstract The “photovoltaics (PV)-energy storage system-electric vehicles (EV)” industry is taken as an instance in this paper to depict the blueprint of renewable energy eco-system: (1) As headstream whole chain, clean source first discussed. Taking full advantage low cost photovoltaic lifetime, highway PV plant supposed be a promising, cheap power supply for new vehicles, and conduce less traditional consumption carbon emission. (2) Two-level systems, including power-grid customer-side...

<abstract> <b>Abstract.</b>Â According to the theory of automobile operation, engine can achieve good fuel economy by controlling gear ratio transmission enable work with high efficiency based on power and road condition. The Electronic Control Unit Automated Mechanical Transmission (AMT) determines economic according signals vehicle speed, torque speed acquired sensors then changes gear. This paper studies a shifting control strategy AMT ensure engine. optimizing performance shift law was...

As an essential measure to combat global warming, electric vehicles (EVs) have witnessed rapid growth. Flexible EVs can enhance power systems' ability handle renewable generation uncertainties. How EV flexibility be utilized in grid operation has captured great attention. However, the direct control of individual is challenging due their small capacity and large number. Hence, it aggregator that interacts with on behalf by characterizing aggregate flexibility. In this paper, we focus...

Regional data center clusters have flourished in recent years to serve customers a major city with low latency. The optimal coordination of centers regional cluster has become pressing issue because its rising energy consumption. In this paper, Lyapunov optimization-based online algorithm is developed for the combined computing workload and cluster. proposed prediction-free easy implement. We prove that queues battery level will be within their physical limits, though related time-coupling...