2011 International Conference on Cloud and Service Computing (2011)
Hong Kong, China
Dec. 12, 2011 to Dec. 14, 2011
A. J. Dinusha Rathnayaka , Curtin University of Technology Perth, Australia
Vidyasagar M. Potdar , Curtin University of Technology Perth, Australia
Omar Hussain , Curtin University of Technology Perth, Australia
Tharam Dillon , Curtin University of Technology Perth, Australia
Smart Grid (SG) achieves bidirectional energy and information flow between the energy user and the utility grid, allowing energy users not only to consume energy, but also to generate the energy and share with the utility grid or with other energy consumers. This type of energy user who consumes energy and who also can generate the energy is called the "prosumer". The sustainability of the SG energy sharing process heavily depends on its participating prosumers, making prosumer participation and management schemes crucial within the energy sharing approaches. However in literature, there is very little attention on prosumer management schemes. The contribution of this article is twofold. First, this article introduces a novel concept of participating and managing the prosumers in the SG energy sharing process in the form of autonomous, intelligent goal-oriented virtual communities. Here, the community of prosumers can collectively increase the amount of power to be auctioned or bought offering higher bargaining power, thereby settling for a higher price per kilowatt in long-term. According to the literature, this research is the first of this type introducing a community approach for prosumer management. The initial step to build an effective prosumer-community is the identification of those prosumers who would be suitable to make efficient prosumer communities. This leads the necessity of identifying parameters that influence the energy sharing behaviours of prosumers. The second contribution of this article is that, this comprehensively analyzes the different parameters influencing the prosumer's energy sharing behaviours and thus presents multi-agent architecture for optimal prosumer-community formation.
A. J. Rathnayaka, V. M. Potdar, T. Dillon and O. Hussain, "Identifying prosumer's energy sharing behaviours for forming optimal prosumer-communities," 2011 International Conference on Cloud and Service Computing(CSC), Hong Kong, China, 2011, pp. 199-206.