Interfacing issues in multiagent simulation for smart grid applications Wang, X.1; Zhang, P.2; Wang, Z.3; Dinavahi, V.4; Chang, G.5; Martinez, J.A.6; Davoudi, A.7; Mehrizi-Sani, A.8; Abhyankar, S.9 Source: IEEE Transactions on Power Delivery, v 28, n 3, 1918-27, July 2013; ISSN: 0885-8977; DOI: 10.1109/TPWRD.2013.2260566; Publisher: IEEE, USA Author affiliations: 1 Carleton Univ., Ottawa, ON, Canada 2 Electr. & Comput. Eng. Dept., Univ. of Connecticut, Storrs, CT, United States 3 Sch. of Electr. Eng., Shandong Univ., Jinan, China 4 Electr. & Comput. Eng. Dept., Univ. of Alberta, Edmonton, AB, Canada 5 Electr. Eng. Dept., Nat. Chung Cheng Univ., Chiayi, Taiwan 6 Dept. Eng. Electr.-ETSEIB, Univ. Politec. de Catalunya, Barcelona, Spain 7 Electr. & Comput. Eng. Dept., Univ. of Texas, Arlington, TX, United States 8 Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, United States 9 Argonne Nat. Lab., Argonne, IL, United States Abstract: This paper discusses design and application of the multiagent simulation technology aiming to meet smart grid requirements. The difference between multiagent systems and multiagent simulation in smart grid applications is clarified. The state-of-the-art applications of multiagent simulation in power and energy systems are classified based on the simulation environment. The paper also addresses the interface issues including synchronization and data distribution for multiagent co-simulation. In addition, the emerging research paradigms in smart grid multiagent simulation are identified.