Abstract
This paper designs a multi-agent system capable of providing personalized services in the smart grid, defining the relevant agent modules. The proposed system provides electricity consumers with personalized power purchase recommendation. Our framework consists of four agents and seven object categories. For the operation center which manages and controls the whole system, an adaptive agent, a coordination agent, and a filtering agent are defined, while a consumer agent is define for each home to collect the history of power consumption. Based on the analysis of the consumer, power market, residence, power consumption, appliance, family member, and electric vehicle objects, those agents autonomously cooperate to provide a personalized power service to each smart grid entity. In addition, adaptive learning capability further improves the recommendation quality.
This research was supported by the MKC Korea, under the ITRC support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2010-(C1090-1011-0009)). This research was also supported by the MKE (Ministry of Knowledge Economy) through the project of Region technical renovation, Korea.
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Ko, J., Shin, IH., Park, GL., Kwak, HY., Ahn, KJ. (2010). Design of a Multi-agent System for Personalized Service in the Smart Grid. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_34
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DOI: https://doi.org/10.1007/978-3-642-16444-6_34
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