Forecast of urban EV charging load and smart control concerning uncertainties

2016 ◽  
Author(s):  
Xiaolin Wang ◽  
Yongquan Nie ◽  
K. W. E. Cheng ◽  
Jie Mei
Keyword(s):  
Smart Control ◽  
Ev Charging

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

Control of EV Charging and BESS to Reduce Peak Powers in Domestic Real Estate

2019 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Toni Simolin ◽  
Antti Rautiainen ◽  
Juha Koskela ◽  
Pertti Järventausta
Keyword(s):  
Real Estate ◽  
Ev Charging

Smart Plant Growth Control and Monitoring System for Indoor Hydroponic Farming

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Fina Supegina
Keyword(s):  
Water Level ◽  
Monitoring System ◽  
Growth Control ◽  
Set Point ◽  
Water Solvent ◽  
Growth Room ◽  
Smart Control ◽  
Level Sensor ◽  
Planting Method ◽  
Hydroponic Growth

Hydroponics is one of planting method that use water as a medium of plants growth, in this technique, mineral solution added into the water solvent, allowing the nutrient uptake process by the plants.  Farming by hydroponic method must pay attention to the following parameters namely, temperature, humidity, the level of water needs and nutrients and also the level of sunlight need for photosynthesis process.  This research used hydroponic technique in hydroponic growth room, and  there is a LED growth light as an alternate of sunlight, due to this room is closed without sunlight.  There are outputs displayed in monitoring system namely, temperature sensor, humidity sensor, ultrasound sensor to detect height of the plant and water level sensor to measured height of the water as a medium of the plant.  Results of measured sensor in hydroponic growth room explained as the following:  fan cooler worked when temperature , and humidity  .  Water pump worked when water level is less than 50% accordance set point.  Control on LED Growth Light and LED Bulb when LDR sensor reached set point > 500 in bright condition, and < 500 in dark condition respectively. The average of Time update/received data in thing speak web is 2.4 second. Keywords: Smart Control, Hydroponic, IoT, Monitoring

scholarly journals Integrated human-machine intelligence for EV charging prediction in 5G smart grid

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Dedong Sun ◽  
Qinghai Ou ◽  
Xianjiong Yao ◽  
Songji Gao ◽  
Zhiqiang Wang ◽  
...  
Keyword(s):  
Smart Grid ◽  
Machine Intelligence ◽  
Ev Charging

Placement and Sizing of EV Charging Stations According to Centrality of the Underlying Network

2020 ◽  
Author(s):  
Hossein Parastvand ◽  
Octavian Bass ◽  
Mohammad A. S. Masoum ◽  
Zeinab Moghaddam ◽  
Stefan Lachowicz ◽  
...  
Keyword(s):  
Underlying Network ◽  
Charging Stations ◽  
Ev Charging

scholarly journals The Architecture Design of Electrical Vehicle Infrastructure Using Viable System Model Approach

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Mahdi Boucetta ◽  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Charles Keating ◽  
Siham Tazzit ◽  
...  
Keyword(s):  
Urban Space ◽  
Electric Vehicles ◽  
Reference Model ◽  
System Model ◽  
Ecosystem Structure ◽  
Viable System Model ◽  
Charging Station ◽  
Viable System ◽  
Station Location ◽  
Ev Charging

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not been analyzed. To address this gap, this paper develops a systems-based framework to offer rigorous design and analysis of the EV ecosystem, with a focus on charging station location problems. The study framework includes: (1) examination of the EV charging station location problem through the lens of a systems perspective; (2) a systems view of EV ecosystem structure; and (3) development of a reference model for EV charging stations by adopting the viable system model. The paper concludes with the methodological implications and utility of the reference model to offer managerial insights for practitioners and stakeholders.

New Smart Control based on MPPT/MEPT Algorithm for Hybrid Fuel Cell Power System

2020 ◽  
Author(s):  
J. S. Artal-Sevil ◽  
I. Sanz-Gorrachategui ◽  
P. Pastor ◽  
C. Bernal-Ruiz ◽  
F. J. Perez-Cebolla ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power System ◽  
Smart Control
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