scholarly journals Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids

2021 ◽  
Vol 11 (10) ◽  
pp. 4415
Author(s):  
Pierre Samuel ◽  
Rachid Eddaaif ◽  
Andrés González-Zumba ◽  
Jean-Michel Clairand
Keyword(s):  
Nonlinear Control ◽  
Electric Vehicle ◽  
Energy Production ◽  
Environmental Issues ◽  
Dc Microgrid ◽  
Dc Microgrids ◽  
Vehicle Load ◽  
Nonlinear Control Theory ◽  
Stability Issues ◽  
The Impact

Several efforts need to be performed in transportation and energy production to mitigate the current environmental issues that are related to fossil fuel use. The implementation of DC microgrids and the use of electric vehicles seem to be an adequate solution. However, various technical challenges have to be addressed, like grid stability issues. Thus, this case report assesses the impact of an electric vehicle load in a DC microgrid, subject to nonlinear control theory. The EV battery pack is modeled and simulated. Subsequently, it is included as a load in an available model of nonlinear control of DC microgrids. The results demonstrate high stability with this new load and the feasibility of its implementation.

scholarly journals Quantifying the Benefits of a Solar Home System-Based DC Microgrid for Rural Electrification

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 938 ◽  
Author(s):  
Nishant Narayan ◽  
Ali Chamseddine ◽  
Victor Vega-Garita ◽  
Zian Qin ◽  
Jelena Popovic-Gerber ◽  
...  
Keyword(s):  
Energy Deficit ◽  
Rural Electrification ◽  
Tier 2 ◽  
Dc Microgrid ◽  
Dc Microgrids ◽  
Solar Home System ◽  
Tier 3 ◽  
Electricity Access ◽  
The Impact ◽  
Adequate Power

Off-grid solar home systems (SHSs) currently constitute a major source of providing basic electricity needs in un(der)-electrified regions of the world, with around 73 million households having benefited from off-grid solar solutions by 2017. However, in and of itself, state-of-the-art SHSs can only provide electricity access with adequate power supply availability up to tier 2, and to some extent, tier 3 levels of the Multi-tier Framework (MTF) for measuring household electricity access. When considering system metrics of loss of load probability (LLP) and battery size, meeting the electricity needs of tiers 4 and 5 is untenable through SHSs alone. Alternatively, a bottom-up microgrid composed of interconnected SHSs is proposed. Such an approach can enable the so-called climb up the rural electrification ladder. The impact of the microgrid size on the system metrics like LLP and energy deficit is evaluated. Finally, it is found that the interconnected SHS-based microgrid can provide more than 40% and 30% gains in battery sizing for the same LLP level as compared to the standalone SHSs sizes for tiers 4 and 5 of the MTF, respectively, thus quantifying the definite gains of an SHS-based microgrid over standalone SHSs. This study paves the way for visualizing SHS-based rural DC microgrids that can not only enable electricity access to the higher tiers of the MTF with lower battery storage needs but also make use of existing SHS infrastructure, thus enabling a technologically easy climb up the rural electrification ladder.

scholarly journals A Model for the Thermal Behaviour of an Offshore Cable Installed in a J-Tube

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 31
Author(s):  
Jeremy Arancio ◽  
Ahmed Ould El Moctar ◽  
Minh Nguyen Tuan ◽  
Faradj Tayat ◽  
Jean-Philippe Roques
Keyword(s):  
Sensitivity Analysis ◽  
Numerical Model ◽  
Thermal Behaviour ◽  
Energy Production ◽  
Power Transmission ◽  
Temperature Fields ◽  
Sobol Indices ◽  
Lumped Element ◽  
Thermal Phenomena ◽  
The Impact

In the race for energy production, supplier companies are concerned by the thermal rating of offshore cables installed in a J-tube, not covered by IEC 60287 standards, and are now looking for solutions to optimize this type of system. This paper presents a numerical model capable of calculating temperature fields of a power transmission cable installed in a J-tube, based on the lumped element method. This model is validated against the existing literature. A sensitivity analysis performed using Sobol indices is then presented in order to understand the impact of the different parameters involved in the heating of the cable. This analysis provides an understanding of the thermal phenomena in the J-tube and paves the way for potential technical and economic solutions to increase the ampacity of offshore cables installed in a J-tube.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

Artificial intelligence-based nonlinear control of renewable energies and storage system in a DC microgrid

2021 ◽  
Author(s):  
Syeda Shafia Zehra ◽  
Aqeel Ur Rahman ◽  
Hammad Armghan ◽  
Iftikhar Ahmad ◽  
Umme Ammara
Keyword(s):  
Artificial Intelligence ◽  
Nonlinear Control ◽  
Storage System ◽  
Renewable Energies ◽  
Dc Microgrid ◽  
And Storage

scholarly journals A Bus-Sectionalized Hybrid AC/DC Microgrid: Concept, Control Paradigm, and Implementation

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3508
Author(s):  
Jing Li ◽  
Hongda Cai ◽  
Pengcheng Yang ◽  
Wei Wei
Keyword(s):  
Hierarchical Control ◽  
Mode Switching ◽  
Stable Operation ◽  
Service Reliability ◽  
Test Results ◽  
Dc Microgrid ◽  
Dc Microgrids ◽  
Operation Modes ◽  
Control Paradigm ◽  
Operational Data

In the last several years, the coordination control of hybrid AC/DC microgrids (HMGs) has been gaining increasingly more attention. However, most of these discussions are focused on single-bus HMGs whose AC or DC bus is not sectionalized by AC or DC breakers. Compared with these single-bus HMGs, the bus-sectionalized HMG has more flexible topologies, more diverse operation modes, and consequently higher service reliability. However, meanwhile, these benefits also bring challenges to the stable operation of bus-sectionalized HMGs, particularly for mode switching. Relying on the national HMG demonstrative project in Shaoxing, China, this paper makes efforts to present the hierarchical control paradigm of a typical bus-sectionalized HMG toward standardization. The test results demonstrate that the proposed system provides seamless switching and uninterrupted power supply without controller reconfiguration among different operation modes. The operational data are also brought forth and analyzed to provide significant and useful experiences for designing and developing similar HMGs in the future.

Planning and reliability of DC microgrid configurations for Electric Vehicle Supply Infrastructure

2021 ◽  
Vol 131 ◽  
pp. 107104
Author(s):  
B. Aluisio ◽  
M. Dicorato ◽  
I. Ferrini ◽  
G. Forte ◽  
R. Sbrizzai ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Dc Microgrid

Technological Innovation and the Agricultural Sustainability

2016 ◽  
Vol 7 (2) ◽  
pp. 1-14
Author(s):  
Rachida Khaled ◽  
Lamine Hammas
Keyword(s):  
Technological Innovation ◽  
Energy Production ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Agricultural Productivity ◽  
Agricultural Sustainability ◽  
Net Income ◽  
Agriculture Sector ◽  
The Impact

The diffusion of the technological innovation can affect the agricultural sector in the three-sided (social, economic and environmental), a hand, it can contribute to solve problems of the agricultural sector: the effects of the climatic changes, the farming exodus and the migration and the problems of poverty and it can improve the agricultural productivity. But on the other hand, he can lead to new problems, such as depletion of energy resources caused by excessive use of energizing technologies, pollution of air and water and the destruction of soil by industrial waste. This paper aims to theoretically and empirically analyze the role of technological innovation in improving agricultural sustainability through the impact of mechanization on agricultural productivity, energy production and net income per capita for a panel of three Maghreb countries (Algeria, Morocco and Tunisia) during the period 1997-2012. By using simultaneous equations, the authors' finding that technological innovation cannot achieve the purpose of sustainable development in the agriculture sector in the Maghreb countries through the negative impact of mechanization and research and development on agricultural productivity.

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