The smart grid concept is predicated upon the pervasive use of advanced digital communication, information techniques, and artificial intelligence for the current power system, to be more characteristics of the real-time monitoring and controlling of the supply/demand. Microgrids are modern types of power systems used for distributed energy resource (DER) integration. However, the microgrid energy management, the control, and protection of microgrid components (energy sources, loads, and local storage units) is an important challenge. In this paper, the distributed energy management algorithm and control strategy of a smart microgrid is proposed using an intelligent multi-agent system (MAS) approach to achieve multiple objectives in real-time. The MAS proposed is developed with co-simulation tools, which the microgrid model, simulated using MATLAB/Simulink, and the MAS algorithm implemented in JADE through a middleware MACSimJX. The main study is to develop a new approach, able to communicate a multi-task environment such as MAS inside the S-function block of Simulink, to achieve the optimal energy management objectives.
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VTS Simulator Training has been a part of VTS operator training program according to IMO/IALA documents. It is a developing direction of VTS simulator to offering a more real-like simulative training as in actual practices. This paper proposed an approach to integrate VTS simulator with Internet system of multiple ship-handling simulators. Utilizing Agent/MAS technology, VTS simulators will play the role of VTS in participating in the interactive simulated training based on Internet. It facilitates a real environment in the VTS training and thus entails better effects.
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