scholarly journals A New Methodology for Smoothing Power Peaks Produced by Electricity Demand and a Hydrokinetic Turbine for a Household Load on Grid Using Supercapacitors

2021 ◽  
Vol 12 (4) ◽  
pp. 235
Author(s):  
Paul Arévalo ◽  
Marcos Tostado-Véliz ◽  
Francisco Jurado
Keyword(s):  
Electric Vehicles ◽  
Large Scale ◽  
Data Sampling ◽  
Energy Control ◽  
Electrical Grid ◽  
Hydrokinetic Turbine ◽  
Power Fluctuations ◽  
Sampling Intervals ◽  
The Stability ◽  
The Cost

The power fluctuations produced by electric vehicles represent a drawback in large-scale residential applications. In addition to that, short power peaks could pose a risk to the stability of the electrical grid. For this reason, this study presents a feasibility analysis for a residential system composed of electric vehicle chargers. The objective is focused on smoothing the power fluctuations produced by the charge by a supercapacitor through adequate energy control; in addition, self-consumption is analyzed. Data sampling intervals are also analyzed; the modeling was performed in Matlab software. The results show that there are errors of up to 9% if the data are measured at different sampling intervals. On the other hand, if the supercapacitor is considered, the system saves 59.87% of the energy purchased from the utility grid per day, and the self-consumption of electricity by prosumers can increase up to 73%. Finally, the hydrokinetic/supercapacitor/grid system would save up to 489.1 USD/year in the cost of purchasing electricity from the grid and would increase by 492.75 USD/year for the sale electricity.

scholarly journals Research on voltage stability and control strategy of power system considering grid connected charging of electric vehicles

2021 ◽  
Vol 2121 (1) ◽  
pp. 012020
Author(s):  
Weidong Fang ◽  
Hao Lv ◽  
Yiting Jiang ◽  
Lingzhi Li
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Large Scale ◽  
Voltage Stability ◽  
Power Grid ◽  
Stable Operation ◽  
Charging Station ◽  
New Energy ◽  
The Stability ◽  
The Impact

Abstract The development of new energy vehicles is an important measure to deal with the growing energy demand and climate change. Especially in recent years, with the support of national policies and the maturity of electric vehicles(EVs) related technologies, the number of EVs has increased explosively, and the situation is very good. However, it also means that a large number of charging loads will be connected to the power grid, which will put great pressure on the safe and stable operation of the power grid. Although there have been many studies on the impact of EVs integration into modern power grid, most of the EVs load models are based on probability function and lack accuracy. Therefore, starting with the actual operation data of EVs charging station, this paper studies the influence of a large number of EVs charging loads on the static voltage stability of power grid. It is found that the charging load of large-scale EVs is added to the power grid, which significantly reduces the stability of power grid voltage, especially at the place connected to the EVs load and far away from the balance node. In addition, when the charging station adopts the time-of-use(TOU) price strategy, it can effectively improve the voltage stability of the whole network.

Application of Recurrence Plot to Wind Power Predictability Study under Different Sampling Intervals

2014 ◽  
Vol 672-674 ◽  
pp. 195-198
Author(s):  
Mao Yang ◽  
Yue Qi
Keyword(s):  
Wind Power ◽  
Recurrence Rate ◽  
Large Scale ◽  
Wind Farm ◽  
Prediction Method ◽  
Recurrence Plot ◽  
Sampling Interval ◽  
Power Prediction ◽  
Power Fluctuations ◽  
Sampling Intervals

The accurate prediction of wind power is an important way to improve the safety and economy of wind power system operation in large scale. On one side, the accuracy of wind power prediction depends on the characterized degree of accuracy for wind power fluctuations under the used prediction method. On the other side, it depends on the inherent degree of predictability in the characteristics of wind power fluctuations. This text will focus on the predictability of wind power, and use recurrence plot and recurrence rate to analyze it in the qualitative and quantitative view, and analyze change rule of recurrence plot and recurrence rate under different time scales. The real case of a wind farm has been analyzed to demonstrate that predictability of wind power will be poorer when the sampling interval becomes large.

Multiway Array Decomposition of EEG Spectrum: Implications of Its Stability for the Exploration of Large-Scale Brain Networks

2017 ◽  
Vol 29 (4) ◽  
pp. 968-989 ◽  
Author(s):  
Radek Mareček ◽  
Martin Lamoš ◽  
René Labounek ◽  
Marek Bartoň ◽  
Tomáš Slavíček ◽  
...  
Keyword(s):  
Large Scale ◽  
Brain Networks ◽  
Decomposition Methods ◽  
Data Set ◽  
Eeg Spectrum ◽  
Eeg Data ◽  
Power Fluctuations ◽  
Parallel Factor ◽  
The Stability ◽  
Spectral Patterns

Multiway array decomposition methods have been shown to be promising statistical tools for identifying neural activity in the EEG spectrum. They blindly decompose the EEG spectrum into spatial-temporal-spectral patterns by taking into account inherent relationships among signals acquired at different frequencies and sensors. Our study evaluates the stability of spatial-temporal-spectral patterns derived by one particular method, parallel factor analysis (PARAFAC). We focused on patterns’ stability over time and in population and divided the complete data set containing data from 50 healthy subjects into several subsets. Our results suggest that the patterns are highly stable in time, as well as among different subgroups of subjects. Further, we show with simultaneously acquired fMRI data that power fluctuations of some patterns have stable correspondence to hemodynamic fluctuations in large-scale brain networks. We did not find such correspondence for power fluctuations in standard frequency bands, the common way of dealing with EEG data. Altogether, our results suggest that PARAFAC is a suitable method for research in the field of large-scale brain networks and their manifestation in EEG signal.

scholarly journals Solar-Powered Charging Networks for Electric Vehicles

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 966 ◽  
Author(s):  
Larry Erickson ◽  
Stephanie Ma
Keyword(s):  
Electric Vehicles ◽  
Demand Management ◽  
Electrical Power ◽  
Solar Panels ◽  
Electrical Grid ◽  
Increasing Demand ◽  
Solar Powered ◽  
The Cost ◽  
Charging Stations ◽  
Low Rate

The cost of solar-generated electricity and battery costs have been decreasing significantly. These developments can be combined to introduce solar-powered charging networks with demand management prices (DMP) to enable electric vehicle (EV) customers to help utilities to manage renewable energy. As solar-generated electricity becomes the cheapest source of power, the need to increase demand for electricity during the day can be met by charging EVs at an attractive DMP in parking lots with solar panels and charging stations that are connected to the electrical grid. The demand for electricity can be managed and controlled by the utility with the goal of increasing demand for power as needed so that all electricity that is generated can be sold. The proposal is to introduce a new DMP rate that is only implemented when the utility wants to increase demand and sell power at this low rate in order to make full use of the supply. As utilities strive to reach 100% renewable electrical power to serve a society transported by EVs, cooperative plans to make good use of batteries in EVs for managing the electrical grid will become more important.

US battery and energy storage markets will grow

2018 ◽  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Large Scale ◽  
Lithium Ion ◽  
Due Diligence ◽  
Li Ion Batteries ◽  
Content Type ◽  
Major Transition ◽  
Li Ion ◽  
The Cost

Subject Batteries and energy storage. Significance With the rise of renewable energies and electric vehicles, a major transition is underway in global energy markets. The key to facilitating growth in both areas is the falling cost of lithium-ion (Li-ion) batteries. Cheaper batteries have helped to reduce the cost of electric vehicles and are making large-scale energy storage on the power grid -- which is a necessity if renewables are to continue growing -- a reality. Impacts Secure access to lithium, cobalt and other battery-related materials will be vital to economic development. Competition over resources to build batteries could see protests, skirmishing and illegal trade where the resources are. Companies face higher due diligence demands when sourcing battery-producing materials.

Deformation Mechanism of the Mountain and Research of Reinforcement in Yanchi Mountain

2011 ◽  
Vol 71-78 ◽  
pp. 1429-1434
Author(s):  
Rui Wang ◽  
Ke Jian Li ◽  
Qiu Yuan Liu ◽  
Yan Qiu
Keyword(s):  
Large Scale ◽  
High Stress ◽  
Mining Activities ◽  
Obvious Effect ◽  
Significant Evidence ◽  
Stress Zone ◽  
The Stability ◽  
The Cost ◽  
High Stress Zone ◽  
Strengthening Method

Mining activities would generate large scale goaf, and the existing of goaf makes the mountain body produce great distortion. Therefore, it has become a kind of serious geological hazard. Based on the concrete conditions of Yanchi Mountain, the simulation with ANSYS was conducted for analyzing the stability of goaf, mine pillar and roof, which would find out the high stress zone and plastic zone of the goaf. Therefore, the conclusion that inadequate of the pillar strength is the main cause of the mountain deformation is drawn, and a new strengthening method which is to strengthen the mine pillar and to increase new mine pillars is put forward on basis of the conclusion.The results show that the strengthening method has an obvious effect, and it reduces the workload and the cost, which also provides very significant evidence for the future studying.

An Optimization and Planning Method Research to Determine Power Transmission Capacity of Clustering Wind Farms Accounting Risk

2014 ◽  
Vol 678 ◽  
pp. 89-93
Author(s):  
Bai Xiao ◽  
Tian Li Cui ◽  
Gang Mu ◽  
Xiao Jing Dong ◽  
Dong Sheng Dang
Keyword(s):  
Large Scale ◽  
Power Transmission ◽  
Wind Farms ◽  
Transmission Capacity ◽  
Mixed Integer ◽  
Transmission Network ◽  
Expansion Planning ◽  
Risk Cost ◽  
The Stability ◽  
The Cost

Large-scale wind farms connected into main grid is accompanied by the reducing of the stability, reliability and security of the power system operation. So the risk cost becomes one of the important factors influencing the profit of transmission network expansion planning. This paper adopted the method of clustering wind power transmission. The objective function established in this paper reflecting the comprehensive benefits of transmission project defined the Pline (transmission capacity) as variable. In order to maximize the comprehensive benefits of the transmission project, the influence of transmission constructing cost, the congestion loss probably caused by a low transmission capacity as well as the cost of risk were taken into account. Calculation of risk is a very complex mixed integer nonlinear problem, so we used Monte-Carlo Simulation to solve this question. Example shoes that the proposed method can achieve optimal transmission capacity, transmission project benefit and planning.

Energy After COVID

2020 ◽  
Vol 119 (820) ◽  
pp. 317-322
Author(s):  
Michael T. Klare
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
White Collar ◽  
Peak Oil ◽  
Business Travel ◽  
Reduce Energy Consumption ◽  
The Cost ◽  
Energy Companies

By transforming patterns of travel and work around the world, the COVID-19 pandemic is accelerating the transition to renewable energy and the decline of fossil fuels. Lockdowns brought car commuting and plane travel to a near halt, and the mass experiment in which white-collar employees have been working from home may permanently reduce energy consumption for business travel. Renewable energy and electric vehicles were already gaining market share before the pandemic. Under pressure from investors, major energy companies have started writing off fossil fuel reserves as stranded assets that are no longer worth the cost of extracting. These shifts may indicate that “peak oil demand” has arrived earlier than expected.

Cost- und Monitoring-Projekt: Zwei neue forstliche Meinungsumfragen im Vergleich | The Cost- and Monitoring-Projects: A Comparison of Two New Forestry Opinion Polls

2000 ◽  
Vol 151 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Stephan Wild-Eck ◽  
Willi Zimmermann
Keyword(s):  
Large Scale ◽  
Forest Policy ◽  
Forest Economics ◽  
Positive Attitudes ◽  
Federal Institute ◽  
Swiss Confederation ◽  
Institute Of Technology ◽  
The Cost ◽  
Near Future ◽  
Opinion Polls

Two large-scale surveys looking at attitudes towards forests, forestry and forest policy in the second half ofthe nineties have been carried out. This work was done on behalf of the Swiss Confederation by the Chair of Forest Policy and Forest Economics of the Federal Institute of Technology (ETH) in Zurich. Not only did the two studies use very different methods, but the results also varied greatly as far as infrastructure and basic conditions were concerned. One of the main differences between the two studies was the fact that the first dealt only with mountainous areas, whereas the second was carried out on the whole Swiss population. The results of the studies reflect these differences:each produced its own specific findings. Where the same (or similar) questions were asked, the answers highlight not only how the attitudes of those questioned differ, but also views that they hold in common. Both surveys showed positive attitudes towards forests in general, as well as a deep-seated appreciation ofthe forest as a recreational area, and a positive approach to tending. Detailed results of the two surveys will be available in the near future.

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