A multi-agent based intelligent monitoring system for power transformers in distributed substations

Power Transformers are distributed across a large number of substations, and many measures have been adopted for their onsite monitoring. Current approaches to transformer monitoring focus primarily on the sampling and display of vital parameters such as voltage and current, and that have been proved insufficient for transformer maintenance. This paper presents a new approach, based on a multi-agent system and an transformer equivalent heat circuit thermal model, which improves the quality and efficiency of distributed onsite transformer condition monitoring in power grids. The thermal model provides transformer temperature predictions and evaluation suggestions, while multi-agents playing the main roles of SCADA system maintenance, transformer autonomous diagnosis and information management.