A Multi-Agent system for data collection from power generators and weather stations in heterogeneous environments

Efficient data collection is challenging task in distributed power generation network. Use of sophisticated remote metering data collection techniques using advanced communication channels is receiving significant attention recently. On the other hand intelligent agents are widely being used to develop autonomous applications and have emerged as an attractive approach in developing power system solutions. To collect data from remote generating units and relevant weather stations located in heterogeneous environment, we have developed an novel agent based model for efficient data collection The proposed model switches to appropriate and economical communication channel based upon availability to collect timely data from remote stations. This model has been applied to Pakistan WAPDA's generation network and has produced accurate and timely results.