A multi-agent based optimization architecture for energy hub operation. (December 2017)

• Record Type: Journal Article
• Authors: Lin, Haiyang; Wang, Qinxing; Wang, Yu; Liu, Yiling; Huang, Nianzhi; Wennersten, Ronald; Sun, Qie
• Is Part Of: Energy procedia. Volume 142(2017)
• Page Start: 2158
• Page End: 2164
• Publication Date: 2017-12
• Subjects: Energy hub -- CCHP -- Multi-energy carrier -- Optimal operation -- Multi-agent based system; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.12.621
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: This paper proposed a novel approach to optimize the operation of an energy hub based on a multi-agent based model which includes hub element agents, a multi-energy demands agent, a commercial agent, an integrated dispatch agent and an environment agent. The novel optimization architecture is a combination and evolution of day-ahead and hour-ahead management method based on agents' pre-defined roles and their interactions. The off-design condition performance and start-stop loss of hub units are considered in the model. A simple case study is taken to enforce the optimization architecture. The results validated the efficient operation of the developed system, proving its ability to optimize the operation of energy hub.