The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet

2011 ◽  
Vol 99 (1) ◽  
pp. 133-148 ◽  
Author(s):  
A Q Huang ◽  
M L Crow ◽  
G T Heydt ◽  
J P Zheng ◽  
S J Dale
Keyword(s):  
Electric Energy ◽  
Energy Internet ◽  
Energy Delivery ◽  
The Future

scholarly journals Can Blockchain Strengthen the Energy Internet?

Network ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 95-115
Author(s):  
Charithri Yapa ◽  
Chamitha de Alwis ◽  
Madhusanka Liyanage
Keyword(s):  
Distributed Generation ◽  
Paradigm Shift ◽  
Distribution Networks ◽  
Future Research ◽  
Disruptive Technology ◽  
Electricity Distribution ◽  
Energy Internet ◽  
Energy Delivery ◽  
Electricity Grids

Emergence of the Energy Internet (EI) demands restructuring of traditional electricity grids to integrate heterogeneous energy sources, distribution network management with grid intelligence and big data management. This paradigm shift is considered to be a breakthrough in the energy industry towards facilitating autonomous and decentralized grid operations while maximizing the utilization of Distributed Generation (DG). Blockchain has been identified as a disruptive technology enabler for the realization of EI to facilitate reliable, self-operated energy delivery. In this paper, we highlight six key directions towards utilizing blockchain capabilities to realize the envisaged EI. We elaborate the challenges in each direction and highlight the role of blockchain in addressing them. Furthermore, we summarize the future research directive in achieving fully autonomous and decentralized electricity distribution networks, which will be known as Energy Internet.

scholarly journals Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1045
Author(s):  
Joanna Janczura ◽  
Aleksandra Michalak
Keyword(s):  
Electric Energy ◽  
Selling Price ◽  
Optimization Scheme ◽  
Sales Strategy ◽  
Price Distribution ◽  
Probabilistic Forecasts ◽  
The Future ◽  
Using Data

In this paper we propose an optimization scheme for a selling strategy of an electricity producer who in advance decides on the share of electricity sold on the day-ahead market. The remaining part is sold on the complementary (intraday/balancing) market. To this end, we use probabilistic forecasts of the future selling price distribution. Next, we find an optimal share of electricity sold on the day-ahead market using one of the three objectives: maximization of the overall profit, minimization of the sellers risk, or maximization of the median of portfolio values. Using data from the Polish day-ahead and balancing markets, we show that the assumed objective is achieved, as compared to the naive strategy of selling the whole produced electricity only on the day-ahead market. However, an increase of the profit is associated with a significant increase of the risk.

Smart Grid: The Electric Energy System of the Future [Scanning the Issue]

2011 ◽  
Vol 99 (6) ◽  
pp. 917-921 ◽  
Author(s):  
Hamid Gharavi ◽  
Reza Ghafurian
Keyword(s):  
Smart Grid ◽  
Electric Energy ◽  
Energy System ◽  
The Future
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