scholarly journals Coordinated P2P electricity trading model with aggregated alliance and reserve purchasing for hedging the risk of deviation penalty

2021 ◽  
Vol 7 ◽  
pp. 426-435
Author(s):  
Zelong Lu ◽  
Jianxue Wang ◽  
Weizhen Yong ◽  
Zhiwei Tang ◽  
Meng Yang ◽  
...  
Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7413
Author(s):  
Anchisa Pinyo ◽  
Athikom Bangviwat ◽  
Christoph Menke ◽  
Antonello Monti

Thailand’s power system has been facing an energy transition due to the increasing amount of Renewable Energy (RE) integration, prosumers with self-consumption, and digitalization-based business models in a Local Energy Market (LEM). This paper introduces a decentralized business model and a possible trading platform for electricity trading in Thailand’s Micro-Grid to deal with the power system transformation. This approach is Hybrid P2P, a market structure in which sellers and buyers negotiate on energy exchanging by themselves called Fully P2P trading or through the algorithm on the market platform called Community-based trading. A combination of Auction Mechanism (AM), Bill Sharing (BS), and Traditional Mechanism (TM) is the decentralized price mechanism proposed for the Community-based trading. The approach is validated through a test case in which, during the daytime, the energy import and export of the community are significantly reduced when 75 consumers and 25 PV rooftop prosumers participate in this decentralized trading model. Furthermore, a comparison analysis confirms that the decentralized business model outperforms a centralized approach on community and individual levels.


2019 ◽  
Author(s):  
Álvaro Cartea ◽  
Maria Flora ◽  
Tiziano Vargiolu ◽  
Georgi Slavov

Author(s):  
Madhvi . ◽  
Amit Gautam ◽  
Amit Srivastava

This paper examines the relationship between NPA announcements by banks and the impulsive movement in stock price brought out by these announcements. Primary focus of this study is to determine whether we can create a swing trading model based on back testing the data for the banking stocks listed on the Indian bourses.To achieve this objective we created a databasespanning ten years (2006 to 2016) and collected the daily share prices of eight banks listed on Bombay Stock Exchange (BSE). The relationship between share price and changes in NPA is studied on the basis of correlation studies and panel-data analysis. Although correlation studies does not establish any significant relationship, but the result of panel-data analysis clearly shows a negative relationship between the two. The result is further utilized to develop swing trading model and get benefit out of it. The novelty of the present study is that it clearly guides the swing traders as to how to earn benefit because of fluctuations in share price due to announce of NPA result.


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