Electrical vehicle: Facing future challenges in quito

Valenzuela, Alex; Montalvo, Iván; Barrera-Singaña, Carlos

doi:10.1109/isgt-la.2017.8126694

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Set in this context, Distribution Network Operators have the responsibility to design and plan novel and modern grids, based on sophisticated communication, control and automation capabilities, which allow the flexibility of power grids to be enhanced. Electric network transformation is mainly caused by the incessant growing of electric demand, integration of intermittent renewable sources and electric vehicles [15]. These new requirements could exceed the capacity of distribution equipment since current distribution networks were planned considering generic profiles of domestic, commercial and industrial customers.…”

Section: Types Of Distribution Network Topologymentioning

confidence: 99%

Planning of a Resilient Underground Distribution Network Using Georeferenced Data

2019

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This study describes a practical methodology for a resilient planning and routing of power distribution networks considering real scenarios based on georeferenced data. Customers’ demand and their location are the basis for distribution transformer allocation considering the minimal construction costs and reduction of utility’s budget. MST (Minimum Spanning Tree) techniques are implemented to determine the optimal location of distribution transformers and Medium voltage network routing. Additionally, the allocation of tie points is determined to minimise the total load shedding when unusual and extreme events are faced by the distribution grid, improving reliability and resilience reducing downtime during those events. The proposed methodology provides a coverage of 100%, supplying electricity to the totality of customers within statutory limits during normal and unusual conditions.

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Section: Types Of Distribution Network Topologymentioning

confidence: 99%

Planning of a Resilient Underground Distribution Network Using Georeferenced Data

2019

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“…Expansion and planning of electrical networks involve the first and most important topic, which is distribution system. This system could become one of the most complex and important, mainly because it is related to the connection of the electrical system with the end users [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data

2019

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Designing and planning of electrical distribution systems is a task that design engineers perform during their daily activities. These designs, which are completed manually, are made according to the expertise of the designer; as a consequence, the obtained product varies depending on the person in charge of executing the layout, highlighting the fact that those designs are susceptible to involuntary human mistakes resulting in no optimal solutions and high cost consequences. The work presented below explains the implementation of an intelligent decision tool that allows the design of network distribution system planning considering the current electrical company standards, in order to have a clear and quick initial overview of the configuration that an electricity network should have in response to an increasing demand, considering not only the coverage and capacity of the transformers but also voltage drop along the conductors, which must not exceed 3% of the nominal value. The objective of this design tool is that it can be applicable in real scenarios; for this reason, the routing of the conductors and the location of the transformers are based on a georeferenced map. It is important to mention that the optimization problem is focused on minimizing the amount of transformers and at the same time ensuring a total coverge of 100% end users connected to the grid. This tool would be very useful in the educational and practical fields, since private and public electricity companies could use it to obtain a quick and efficient base product on which they could start to develop expansion and planning of distribution networks. The concept and development of such a tool is the subject of this paper.

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Analysis of Energy Efficiency Electric Vehicles Using a Driving Cycle on an Established Route in the City of Ambato

Villacrés,

Fernández

2024

Lecture Notes in Networks and Systems

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Electrical vehicle: Facing future challenges in quito

Cited by 5 publications

References 15 publications

Planning of a Resilient Underground Distribution Network Using Georeferenced Data

Planning of a Resilient Underground Distribution Network Using Georeferenced Data

A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data

Analysis of Energy Efficiency Electric Vehicles Using a Driving Cycle on an Established Route in the City of Ambato

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