A Smart Distribution Transformer Management with

The objective of this paper is to demonstrate an approach to perform distribution transformer management with multi-agent technologies. With the proposed approach, the distribution transformer's loading level is kept below a certain value by dynamically allocating the transformer's demand limit (DL) among the homes served by the transformer during a demand response event. The DL assignment takes into account, for each home, its load profile (kW), electrical panel size (A), expected instantaneous demand (kW), and homeowner's preferences. The proposed set of algorithms is developed in a multi-agent system (MAS). In this paper, the MAS is designed, developed and implemented in JAVA Agent Development Framework (JADE). A distribution network is simulated in MATLAB/Simulink integrated with the developed stand-alone HEM software. These platforms are linked together via MACSimJX middleware and TCP/IP communications.