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This Paper tries to explore the potential of using artificial intelligence method in controllers and their advantages over conventional methods. Intelligent control techniques are of great help in implementation of AGC in power systems. Today’s power systems are more complex and require operation in uncertain and less structured environment. Consequently, secure, economic and stable operation of a power system requires improved and innovative methods of control. This Paper asserts that the conventional approach of controller tuning is not very efficient due to the presence of non-linearity in the system of the plant. Whereas intelligent control techniques provide a high adaption to changing conditions and have ability to make decisions quickly by processing imprecise information. Some of these techniques are rule based logic programming model based reasoning, computational approaches like fuzzy sets, artificial neural networks, evolutionary programming and genetic algorithms. In this paper work, the bacterial foraging Optimization (BFO) technique has been used for LFC of interconnected power systems.