A comparative analysis of game theory techniques for study of energy interactions in interconnected microgrids
by Mohammad Zeeshan; Majid Jamil
International Journal of Environment and Sustainable Development (IJESD), Vol. 21, No. 1/2, 2022

Abstract: The growing energy needs of society can be met with one or more microgrids working in conjunction. A need of a trading and scheduling mechanism for energy exchange among microgrids for sustainable development of the consumers is required. Game theory techniques have been widely utilised to study this interaction among microgrids. This paper seeks to analyse the different game theory-based energy trading techniques to elaborate on such models' efficiencies. The study is based on renewable energy generation and consumption in Denmark. Lexicographic egalitarian solution is proposed as a bargaining solution for two participating microgrids in an energy trading game. A comparison is performed between the proposed model and conventional techniques for inter-microgrid trading. The proposed bargaining solution depicts a fairness index of 0.974 compared to 0.946 for the Nash solution and 0.954 for the Kalai-Smorodinsky solution. The results of the proposed study provide a better insight into the various aspects of energy sharing algorithms and will help improve the utilisation of green energy.

Online publication date: Thu, 02-Dec-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environment and Sustainable Development (IJESD):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com