INTELLIGENT ENERGY CONTROL FOR DISTRIBUTED GENERATORS USING MULTI-AGENT SYSTEM WITH ANN

Multi agent system has been used to provide intelligent energy control and management in grids because of their benefits of extensibility, autonomy, reduced maintenance etc. The multi agent system constituting the smart grid and agents such as user agent, control agent, database agent and distributed energy resources. In this project the wind power generator connected with local load, the solar power connected with local load and energy control center controlled by fuzzy logic controller. In fuzzy logic controller we can use multiple input and output sources. Fuzzy logic is a convenient way to map an input space to output source. The proposed is implemented with Artificial Neural Network based to achieve better performance compared to conventional controllers and simulated the proposed project in MATLAB/SIMULINK software.

[1]  M. Pipattanasomporn,et al.  Intelligent Distributed Autonomous Power Systems (IDAPS) , 2007, 2007 IEEE Power Engineering Society General Meeting.

[2]  Leon M. Tolbert,et al.  Scalable multi-agent system for real-time electric power management , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[3]  M. Pipattanasomporn,et al.  Multi-agent systems in a distributed smart grid: Design and implementation , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[4]  马跃,et al.  Energy Management System , 2016 .

[5]  T. Ackermann,et al.  Interaction between distributed generation and the distribution network: operation aspects , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.