Coalition based game theoretic energy management system of a building as-service-over fog. (July 2019)

• Record Type: Journal Article
• Authors: Khalid, Adia; Javaid, Nadeem
• Is Part Of: Sustainable cities and society. Volume 48(2019)
• Publication Date: 2019-07
• Subjects: Cloud platform -- Fog platform -- Social network -- Coordination -- Coalition -- Game theory -- Energy management system -- Demand side management and smart grid; Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2019.101509
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: A coordination based energy management system as-a-service on fog is presented. An efficient system model is introduced to handle a social networking problem. The social network problem is formulated as a game theory based coalition method. The surplus energy is distributed among the energy deficient apartments using Shapley value that unevenly distributes the power according to the demand. The experimental results show that 13 kW extra power is saved and distributed among energy deficient apartments during different times of a day. Abstract: For the better management of energy, a coordination based energy management system as-a-service on fog is presented. An efficient system model is introduced to handle a social networking problem in order to maintain the balance between the produced and the required energy. This social network problem is formulated as a game theory based coalition method. With the increase in number of electricity consumers, the computational complexity of energy management system is becoming a threat for system efficiency in real-time environment. To deal with this dilemma, the service providers shift their computational and storage units on cloud and fog. The fog is an intermittent layer between the cloud and the end user which helps to make the system faster as compared to the cloud. In this scenario, a building with multiple apartments is considered. Where, each apartment is taken as a player and the surplus power as pay-off. The surplus energy will be distributed among the energy deficient apartments using Shapley value that unevenly distributes the power according to the demand. The experimental results show that 13 kW extra power is saved and distributed among energy deficient apartments during different times of a day.