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Title
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Intelligent Automatic Generation Control: Multi-agent Bayesian Networks Approach
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Type
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Presentation
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Keywords
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AGC-Bayesian networks-Frequency deviation-Multi-agent system
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Abstract
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A new intelligent agent based control scheme, using Bayesian networks (BNs), to design automatic generation control (AGC) system in a multi-area power system is addressed. Model independency and flexibility in specifying the control objectives, make the proposed approach as an attractive solution for AGC design in a real-world power system. The proposed control scheme is tested in simulation on a three areas power system and shows desirable performance. The results are also compared with the multi-agent reinforcement learning based AGC design technique.
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Researchers
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Puria Daneshmand (Third Researcher), Fatemeh Daneshfar (Second Researcher), Hassan Bevrani (First Researcher)
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