Distributed Generation Placement Considering Carbon Trading in the Context Of Energy Internet

2020 ◽  
Author(s):  
Zhenguo Wang ◽  
Qiang Liu ◽  
Shenxiong Lu ◽  
Xiaoxiao Chen ◽  
Xiaobo Xu ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Carbon Trading ◽  
Energy Internet ◽  
Distributed Generation Placement

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 Distributed Generation Placement in Radial Distribution Networks using a Bat-inspired Algorithm

DYNA ◽  
2015 ◽  
Vol 82 (192) ◽  
pp. 60-67 ◽  
Author(s):  
John Edwin Candelo-Becerra ◽  
Helman Hernández-Riaño
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Reactive Power ◽  
Distribution Networks ◽  
Power Losses ◽  
Number Of Generators ◽  
Metaheuristic Techniques ◽  
Distributed Generation Placement ◽  
Made In

<p>Distributed generation (DG) is an important issue for distribution networks due to the improvement in power losses, but the location and size of generators could be a difficult task for exact techniques. The metaheuristic techniques have become a better option to determine good solutions and in this paper the application of a bat-inspired algorithm (BA) to a problem of location and size of distributed generation in radial distribution systems is presented. A comparison between particle swarm optimization (PSO) and BA was made in the 33-node and 69-node test feeders, using as scenarios the change in active and reactive power, and the number of generators. PSO and BA found good results for small number and capacities of generators, but BA obtained better results for difficult problems and converged faster for all scenarios. The maximum active power injections to reduce power losses in the distribution networks were found for the five scenarios.</p>

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