The fading characteristics of 60 Ah decommissioned electric vehicle battery modules were assessed employing capacity calibration, electrochemical impedance spectroscopy, and voltage measurement parallel bricks inside modules. correlation between internal resistance or was analyzed. Then, 10 consistent retired packed configured in a photovoltaic (PV) power station to verify the practicability their energy storage application. results show that attenuation most is not severe pack while minor...

Properly deployed public charging stations are important foundations for the large-scale operation of electric taxis. This paper proposes a novel framework deployment stations, which takes into consideration effects passengers, taxi drivers, electricity retailers, transportation network, distribution and power consumers. First, on premise that have already been deployed, an agent-based model is constructed to simulate demands each station, considering passengers' travel retailers' mutual...

Effectively utilizing large-scale Private Electric Vehicles (PREVs) in load restoration can enhance the capability of Distribution System Operators (DSOs) to respond accidental power outages. However, challenge remains incentivizing and guiding PREVs participate restoration. This paper proposes a Stackelberg game-based incentive mechanism, with V2G Station Operator (VSO) discharge guidance model based on Huff attraction embedded address this challenge. The VSO is introduced manage issue...

Abstract Energy reforms advance development of human civilizations. As environmental problems go increasingly severe, hydrogen energy which is featured by zero carbon emissions, high efficiency, easy storage and other advantages has won attention from researchers around the world. China rich energy, in next reform, will play an important role. This paper introduce application industries, fuel-driven electric cars, heat-power joint production hybrid systems as well current conditions. Typical...

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...

It is a main issue to find valuable information from the power quality data because of its big volume, heterogeneity and low value density in monitoring system grid. An analysis based on mining technologies presented this paper, consisting cleaning, fusion, cluster analysis, correlation etc. The proposed applied certain city system. meaningful variation laws indices are obtained, which can provide reference grid planning, dispatch operation.

Here, a methodology based on cluster analysis, feature selection, and support vector machine (SVM) is presented to predict power quality indexes such as harmonic distortion voltage deviation. First, analysis made index data, historical data sets be used are selected according the classification of predicted. Then, with selection algorithm, optimal factor combination relevant predicted obtained from several factors, weather, active power, reactive others. Finally, associated taken training...

The voltage sags’ caused recognition is the basis for formulating governance plans and clarifying liabilities accidents. diversification of smart grid equipment, grid‐connected power generation new energy sources regional differentiation consumption modes pose challenges to traditional methods. In this study, a method based on deep learning hybrid model proposed. convolutional neural network used flexibly receive after two‐dimensional transformation, so as automatically obtain time series...

Electric vehicle (EV) chargers may lead to power quality problems which mainly contain harmonic emission and voltage deviation. The fast chargers, as a kind of high-power electronic component, will cause impact grid than generally chargers. This thesis is focused on the harmonics EV charging stations have operated already. Single set/multiple sets electric vehicles were measured site. We simulated situation multiple simultaneously in distribution network. characteristics influence discussed....

PV system has been rapidly developed in recent years, while it generates harmonics and there-phase unbalance for its grid-connected inverter, causing voltage fluctuations flicker uncertain power output. Therefore, quality is highlighted as an important parameter of the system. To study actual characteristics system, a large-scale BIPV plant was investigated. This paper discussed parameters defined by standards introduced key structure Based on field tests taken under different conditions...

Abstract Echelon use batteries from electric vehicles will bring not only the cost reduction of energy storage but also social benefits circular using resource, conservation and emission reduction. It is an important echelon orientation that retired are rebuilt into distributed systems. The article introduces 8 cases systems containing batteries, whose application scenarios include load shifting, renewable storage, frequency modulation power system, capacity charge management. In summary,...

This paper considers the impact of money and time on charging satisfaction electric taxi users, considering passenger revenue time-of-use price in different time, aiming at highest user unit electricity, proposes a recommended strategy for best location. Firstly, users is calculated according to capacity. Secondly, cost power are queue revenue, demand price. The optimal minimum electricity cost. Then, when choosing station, driving queuing taken into account calculate cost, In addition,...

Abstract A method was proposed to use big data mine charging demand information of electric vehicles (EVs) and select location construction scale point. Firstly, the travel EV users were cleaned analysed obtain available rules corresponding digital characteristics. Secondly, according Markov chain principle, roulette wheel used predict spatial temporal distribution demand. Then particle swarm algorithm optimize selection candidate sites. Finally, a typical region taken as an example prove...

Virtual power plant technology (VPP), by aggregating “source-load-storage” multi-link resource coordination and interaction, has significant benefits in improving energy utilization efficiency promoting new consumption plays a positive role the construction of systems. And scientific effective evaluation its popularization application is an important premise to promote development. Aiming at characteristics VPP involving wide range, many types resources, complex indicators, this paper...

An effective power quality prediction for regional grid can provide valuable references and contribute to the discovering solving of problems.So a predicting model steady state index based on chaotic theory least squares support vector machine (LSSVM) is proposed in this paper.At first, phase space reconstruction original data performed form new containing attractor.The used as training samples LSSVM.Then order predict accurately, particle swarm algorithm adopted optimize parameters LSSVM...

A 26650-type lithium-ion batteries module was cycled at the charge-discharge rates of 1 C room temperature (20±2°C) until its state-of-health (SOH) declined to 60%. Its degradation investigated by capacity fading characterization, electrochemical impedance spectroscopy (EIS). The results show cycle number is 1300 cycles when SOH declines from 100% film resistance Rf, charge transfer Rct and Warburg ZW battery increase gradually with cycling while ohmic Rs almost unchanged. Of all resistances...

The turbine speed loop adjustment is key link of the designing controller for fixed pitch variable wind energy conversion systems (WECS). Because strong nonlinear, big inertia and mechanical damping characteristics, it's difficult to power systems. In this paper, a small signal model present, based on analyzing; regulator designed. Then, method tracking peak system proposed, which independent parameters air density. At last, simulation built, results experiments show that, performance...

Abstract With the continuous expansion of household electricity consumption, impact on power system is also increasing. TCL (Temperature Control Load) accounts for a large proportion electrical loads such as AC (Air Conditioning) and EWH (Electric Water Heater) an indispensable load in households. For temperature control participating DR (Demand side Response), this article first analyzes basic physical model uses Monte Carlo method to aggregate multiple loads. Then, by combining aggregation...