Minimization of power shortage by using renewable (solar) energy through smart grid, perspective: Bangladesh

Author(s):  
Muktadir Ahmed ◽  
Md. Salahuddin Parvez ◽  
Md. Mozammel Hossain ◽  
Arup Kumar Pal ◽  
H.M. Imran Hassan ◽  
...  
Keyword(s):  
2016 ◽  
Vol 11 (5) ◽  
pp. 486
Author(s):  
Abdelilah Kahaji ◽  
Rachid Alaoui ◽  
Sadik Farhat ◽  
Lahoussine Bouhouch

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7134
Author(s):  
Mohsen Rajabpour ◽  
Mohammad Yousefvand ◽  
Robert Mulligan ◽  
Narayan B. Mandayam

We study prosumer decision-making in the smart grid in which a prosumer must decide whether to make a sale of solar energy units generated at her home every day or hold (store) the energy units in anticipation of a future sale at a better price. Specifically, we enhance a Prospect Theory (PT)-based behavioral model by taking into account bounded temporal horizons (a time window specified in terms of the number of days) that prosumers implicitly impose on their decision-making in arriving at “hold” or “sell” decisions of energy units. The new behavioral model for prosumers assumes that in addition to the framing and probability weighting effects imposed by classical PT, humans make decisions that will affect their lives within a bounded temporal horizon regardless of how far into the future their units may be sold. Modeling the utility of the prosumer with parameters such as the offered price on a day, the available energy units on a day, and the probabilities of the forecast prices, we fit the PT-based proposed behavioral model with bounded temporal horizons to prosumer data collected over 10 weeks from 57 homeowners who generated surplus units of solar power and had the opportunity to sell those units to the local utility at the price set that day by the utility or hold the units for sale in the future. For most participants, a model with a bounded temporal horizon in the range of 1–6 days provided a much better fit to their responses than was found for the traditional EUT-based model, thus validating the need to model PT effects (framing and probability weighting) and bounded temporal horizons imposed in prosumer decision-making.


2019 ◽  
Author(s):  
Riya Paul ◽  
Anirban Sen ◽  
Basudeb Dey
Keyword(s):  

As the technology grows very fast, we need more and more power so one of the ultimate choices is renewable energy. Solar energy is the best one among all types of renewable energy. This paper presents a smart grid control system using solar energy. Here, the smart grid control system consists of source board, control board, Arduino board and load board. The solar panel is the source which provides input energy to the control system. The control board composed of relay, operational amplifier (OPAMP) and the bipolar junction transistor (BJT).An interface with Arduino board is done to take inputs and give controlled output, further; we can use battery for storing our solar power and can be reusable by the load which will again enhance our solar power usability. Sunlight based solar panel gives cost investment funds by not paying for power, particularly for power costs keep on rising where the expense of sun oriented keeps on falling. Cost reserve funds likewise can be determined by wiping out the need to channel in framework control, upsetting encompassing scenes and hardscapes, fixing zones, and so on.


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