Study of Plug-in Electric Vehicles Charging by Using Load Shaving Method Based on TOU in Distribution System: A Case Study in Thailand

2018 ◽  
Author(s):  
Supipat Panichtanakom ◽  
Kusumal Chalermyanont ◽  
Surapol Thienmontri
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
System A

Reliability Analysis of Power Distribution System: A Case Study of Mofor Injection Substation, Delta State, Nigeria

2019 ◽  
Author(s):  
Oladimeji Joseph Ayamolowo ◽  
Chukwunonso Anthony Mmonyi ◽  
Samson Olasunkanmi Adigun ◽  
Olabisi Abdullahi Onifade ◽  
Kehinde Adetunji Adeniji ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Power Distribution ◽  
Distribution System ◽  
Power Distribution System ◽  
System A

scholarly journals Multidispatch for Microgrid including Renewable Energy and Electric Vehicles with Robust Optimization Algorithm

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2813 ◽  
Author(s):  
Ruifeng Shi ◽  
Penghui Zhang ◽  
Jie Zhang ◽  
Li Niu ◽  
Xiaoting Han
Keyword(s):  
Renewable Energy ◽  
Robust Optimization ◽  
Electric Vehicles ◽  
Optimization Algorithm ◽  
Environmental Cost ◽  
Uncertain Variables ◽  
System A ◽  
Ev Charging ◽  
Numerical Case Study

With the deterioration of the environment and the depletion of fossil fuel energy, renewable energy has attracted worldwide attention because of its continuous availability from nature. Despite this continuous availability, the uncertainty of intermittent power is a problem for grid dispatching. This paper reports on a study of the scheduling and optimization of microgrid systems for photovoltaic (PV) power and electric vehicles (EVs). We propose a mathematical model to address the uncertainty of PV output and EV charging behavior, and model scheduling optimization that minimizes the economic and environmental cost of a microgrid system. A semi-infinite dual optimization model is then used to deal with the uncertain variables, which can be solved with a robust optimization algorithm. A numerical case study shows that the security and stability of the solution obtained by robust optimization outperformed that of stochastic optimization.

Impact of Residential and Public Charging Stations of Electric Vehicles on Distribution System by Stochastic Simulation

2015 ◽  
Vol 1092-1093 ◽  
pp. 375-380
Author(s):  
Suthida Ruayariyasub ◽  
Sompon Sirisumrannukul ◽  
Suksan Wangsatitwong
Keyword(s):  
Monte Carlo ◽  
Electric Vehicles ◽  
Distribution System ◽  
Stochastic Approach ◽  
Local Distribution ◽  
Battery Charging ◽  
Proposed Model ◽  
Charging Stations ◽  
The Impact

This paper investigates the impact of electric vehicles battery charging on the distribution system load if electric vehicles (EVs) are widespread used on roads. Stochastic approach based on a Monte Carlo method is developed in this study to simulate EVs charging load in two cases: 1) normal charge service at home, and 2) quick charge service at public charging stations. To demonstrate the model, a 22-kV distribution system of Pattaya City operated by Provincial Electricity Authority of Thailand (PEA) is employed in the case study. The results indicate the capability of the proposed model to exhibit the impact of EVs charging load on the local distribution system.

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