Integration of Electric Vehicles as Smart Loads for Demand Side Management in Medium Voltage Distribution Network

2018 ◽  
Author(s):  
Qais Ali ◽  
Hassan Zahid Butt ◽  
Syed Ali Abbas Kazmi
Keyword(s):  
Electric Vehicles ◽  
Distribution Network ◽  
Demand Side Management ◽  
Demand Side ◽  
Voltage Distribution ◽  
Medium Voltage

scholarly journals Distribution Network Hierarchically Partitioned Optimization Considering Electric Vehicle Orderly Charging with Isolated Bidirectional DC-DC Converter Optimal Efficiency Model

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1614
Author(s):  
Qiushi Zhang ◽  
Jian Zhao ◽  
Xiaoyu Wang ◽  
Li Tong ◽  
Hang Jiang ◽  
...  
Keyword(s):  
Load Balancing ◽  
Electric Vehicle ◽  
Double Layer ◽  
Electric Vehicles ◽  
Distribution Network ◽  
Collaborative Optimization ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Scheduling Model ◽  
Optimal Efficiency

The access of large-scale electric vehicles (EVs) will increase the network loss of medium voltage distribution network, which can be alleviated by adjusting the network structure and orderly charging for EVs. However, it is difficult to accurately evaluate the charging efficiency in the orderly charging of electric vehicle (EV), which will cause the scheduling model to be insufficiently accurate. Therefore, this paper proposes an EV double-layer scheduling model based on the isolated bidirectional DC–DC (IBDC) converter optimal efficiency model, and establishes the hierarchical and partitioned optimization model with feeder–branch–load layer. Firstly, based on the actual topology of medium voltage distribution network, a dynamic reconfiguration model between switching stations is established with the goal of load balancing. Secondly, with the goal of minimizing the branch layer network loss, a dynamic reconstruction model under the switch station is established, and the chaotic niche particle swarm optimization is proposed to improve the global search capability and iteration speed. Finally, the power transmission loss model of IBDC converter is established, and the optimal phase shift parameter is determined to formulate the double-layer collaborative optimization operation strategy of electric vehicles. The example verifies that the above model can improve the system load balancing degree and reduce the operation loss of medium voltage distribution network.

Social License to Automate: Emerging Approaches to Demand Side Management - Executive Summary

2021 ◽  
Author(s):  
Sophie Adams ◽  
Lisa Diamond ◽  
Tara Esterl ◽  
Peter Fröhlich ◽  
Rishabh Ghotge ◽  
...  
Keyword(s):  
Case Studies ◽  
Electric Vehicles ◽  
Demand Side Management ◽  
Heat Pumps ◽  
Final Report ◽  
Demand Side ◽  
Executive Summary ◽  
Air Conditioners ◽  
Social License

Executive Summary of the final report of the Users TCP Social License to Automate Task findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.

scholarly journals Studi Penempatan Titik Pentanahan Kawat Tanah Pada Penyulang Serangan

2016 ◽  
Vol 15 (1) ◽  
pp. 27
Author(s):  
I Wayan Agus Teja Baskara ◽  
I G Dyana Arjana ◽  
I W Rinas
Keyword(s):  
Distribution Network ◽  
Economic Aspect ◽  
Voltage Distribution ◽  
Lightning Strikes ◽  
Medium Voltage ◽  
The Cost

Ground wire is one of the lighning protection instrument used in medium voltage distribution network with the intention to reduce interference due to lightning strikes. On the feeder Serangan the ground wire put 4 – 5 wicket. To know effective gap of ground wire is put on the feeder Serangan then used effectiveness ground wire parameters and total of disorder by lightning strikes directly or indirectly. From the analysis is obtained the effective gap on scenario 4 by 3 – 4 wicket. Choosing scenario 4 is as effective gap because seen by economic aspect, as longest gap point put of ground wire then the cost needed to use material and the installation of ground wire will be cheaper.  DOI: 10.24843/MITE.1501.05

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