Energy Flows Management of Multiple Electric Vehicles in Smart Grid

Vacheva, Gergana; Hinov, Nikolay; Kanchev, Hristiyan; Stanev, Rad; Cornea, Octavian

doi:10.5755/j01.eie.25.1.22730

Cited by 12 publications

(5 citation statements)

References 7 publications

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“…The V2G interface, a telemetry and telecommunications engineering solution with a bidirectional energy flow: vehicles are charged in a so-called night low period of the power system load; in peak load periods, electric vehicles constitute a source of energy for the system. Vacheva et al [ 63 ] indicate that electric cars have a large potential in V2G system to decrease load peak of the power grid. The research conducted by Iacobucci et al [ 64 ] in Japanese price conditions shows that V2G solution is too expensive due to high prices of energy and batteries.…”

Section: Resultsmentioning

confidence: 99%

The Comparative Assessment of Effects on the Power System and Environment of Selected Electric Transport Means in Poland

et al. 2021

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Currently, electric vehicles are a rapidly growing alternative to those with combustion engines and can contribute to reduction of CO2 emissions in the transport sector, especially when the energy to power electric motors is predominantly derived from renewable sources. Until now, the comparison of environmental impact and influence of electric transport means on the power systems was not fully addressed in the case of Poland. The purpose of the study is to describe, analyse and assess electric vehicles (EV) operation against performance indicators in Poland, especially the influence of electric transport means (ETM) (electric cars, trams, trolley buses and buses) on power system and environment. The influence on the power system was investigated for the Polish National Powers system using the simulation of different scenarios of loads generated by EV charging. The energy demand of the National Power System and daily load variability indices were determined. Based on the data of ETM powers consumption and emissions of energy production, the emissions of harmful gases per one km and per one person were calculated, as well as the financial outlays for energy necessary to drive 1 km per 1 passenger. To assess and compare the environmental impact of the selected ETM life cycle, the life cycle assessment method was used. The results of environmental impacts were determined for selected assessment methods: CML 2 and IPCC 2013 GWP 100. The functional unit in this study is one selected ETM with a service life of 100,000 km. Comparison of trams, trolley buses, buses and electric passenger cars indicates that most beneficial are electric buses which do not need rails or overhead lines, thus investment costs are lower.

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Section: Resultsmentioning

confidence: 99%

The Comparative Assessment of Effects on the Power System and Environment of Selected Electric Transport Means in Poland

et al. 2021

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“…There are many potential benefits of using V2G service for power systems, microgrids, and EVs owners. For power systems, such benefits include: frequency regulation, voltage support, peak load shaving, avoiding unexpected outages, and enhancing integration of renewable energy sources [5].…”

Section: Problem Formulationmentioning

confidence: 99%

“…The common belief is that renewably energy sources, together with electric vehicles (EVs) and technologies such as V2G (Vehicle-to-Grid), V2B (Vehicle-to-Building), and V2H (Vehicle-to-Home) [3], [4] can result in mitigation of global warming crisis, but these have to be supported by the efforts to use all resources optimally. This was the motivation for applying optimization procedures in the scheduling of charging and discharging EVs [5]- [7] to reduce the energy costs. There were also efforts to include battery degradation costs [8]- [11].…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs

Javor

Raicevic

Klimenta³

et al. 2022

ELEKTRON ELEKTROTECH

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Increased use of renewable energy sources in energy sector as well as improvements and electrification in transportation sector significantly contribute to reduction of green-house gasses emissions and mitigation of problems with fossil fuel dependency. Optimal integration of electric vehicles (EVs) into the grids and their charging/discharging schedules have to be realized in accordance with electricity demand, day-ahead electricity market prices and intermittency of photovoltaic and wind generators electricity production. A microgrid that includes non-deferrable loads, renewable energy sources, EV fleet and its charging station is analyzed in this paper. Its Vehicle-to-Grid (V2G) service is optimized with the aim of minimizing the operational costs and obtaining peak load shaving and valley filling of the load curve, which is especially effective in the case of EVs fleet with occupational time intervals known in advance. Optimized schedule of EVs charging and discharging is obtained as a result of the procedure that uses multi-criteria optimization function. These criteria include minimization of microgrid electricity costs as the local aggregator’s benefit, maximization of the flattening of total microgrid demand curve as main grid operator’s benefit, and minimization of battery degradation (due to a number of charging/discharging cycles) as EVs owner’s benefit which is the novelty of this paper. Experimental analysis is performed on several scenarios and program Lingo is used to solve the optimization problem.

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“…Therefore, timely and accurate detection of voltage interruptions is of great significance for ensuring the quality of power supply. Wavelet analysis shows unique advantages among many detection methods due to its unique time-frequency localization characteristics [1][2]. The generating function of the traditional Fourier transform is a definite sine or cosine function, but the generating function of the wavelet transform has diversity.…”

Section: Introductionmentioning

confidence: 99%

Selection of wavelet generating function in voltage interruption detection

Gong,

Zhong

2023

J. Phys.: Conf. Ser.

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When using wavelet for voltage interruption detection, improper selection can lead to detection failure due to the differences in wavelet characteristics and the diversity of the generating function. Based on the analysis of wavelet characteristics, the modulus maximum principle is used to compare the detail coefficients after wavelet decomposition, and a method that should be followed for selecting the generating function is proposed. Here are four important points to consider: First, choose orthogonal wavelets that can decrease redundancy. Second, symmetry does not have a major effect. Third, higher-order vanishing moments and longer support lengths result in better singularity detection. Finally, the order of vanishing moments is more important than the support length. We establish a disturbance signal model with interruption occurring at the time of voltage zero crossing and select six types of wavelets: db1, db3, db6, db8, coif2, and coif3 for four-scale wavelet decomposition. The experimental results demonstrate the accuracy of the proposed method in this paper.

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Energy Flows Management of Multiple Electric Vehicles in Smart Grid

Cited by 12 publications

References 7 publications

The Comparative Assessment of Effects on the Power System and Environment of Selected Electric Transport Means in Poland

The Comparative Assessment of Effects on the Power System and Environment of Selected Electric Transport Means in Poland

Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs

Selection of wavelet generating function in voltage interruption detection

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