desain pengisian optimal kendaraan listrik berdasarkan kebutuhan daya grid dan kondisi grid pada stasiun pengisian kendaraan listrik menggunakan kontroler logika fuzzy

Clicks: 155
ID: 202989
2017
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #115 of 239 articles by views in Oncogene

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 239 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract

Electric vehicles has become one of alternatives in addressing energy crisis in the field of transportation. Increasing the number of electric vehicles that are not accompanied by a proper charging station management would give negative impact either to the distribution system on the network such as voltage fluctuation, voltage drop, voltage stress, lack of continuity of the power system, and even cause the blackout. Energy management design is needed for electric vehicles charging stations to obtain optimal power flow model between charging station and grid.

This research will be designed an analysis and design of optimal charging by considering estimated power flow between charging station with the grid and load conditions on the grid (off-peak / peak) using fuzzy logic controller. This charging management uses the concept vehicle to vehicle (V2V), vehicle to grid (V2G), and the grid to vehicle (G2V) which adjust by charging index and charging rate results from rule fuzzy scoring result.

The simulation results show that the fuzzy-based system can flatten the load curve peak of electric vehicle, reducing the impact of peak load to the grid, and can provide cost advantages in the form of cost saving.

Reference Key
nugroho2017jurnaldesain Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Onang Surya Nugroho;Dimas Anton Asfani;Daniar Fahmi
Journal Oncogene
Year 2017
DOI
DOI not found
URL
http://ejurnal.its.ac.id/index.php/teknik/article/view/16027
Keywords
electric vehicle electronics nuclear engineering civil engineering (general)

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.