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Titlebook: Autonomous Systems and Intelligent Agents in Power System Control and Operation; Christian Rehtanz Book 2003 Springer-Verlag Berlin Heidel

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樓主: dabble
41#
發(fā)表于 2025-3-28 16:17:39 | 只看該作者
https://doi.org/10.1007/978-981-16-4589-1ional architecture enabling the application of agent techniques is based on fundamental theoretical aspects. The operational architecture for control systems of power systems is defined and characterized. The proposed autonomous system structure enables the thorough usage of Information Technology (
42#
發(fā)表于 2025-3-28 19:53:31 | 只看該作者
https://doi.org/10.1007/978-981-16-4589-1tem of electrical power systems. The basic implementation aspects of the architecture are described in comparison to conventional approaches. The nowadays’ available methods and standards of IT are analyzed to show that the proposed approach can be implemented today. The topics addressed are communi
43#
發(fā)表于 2025-3-29 01:09:36 | 只看該作者
44#
發(fā)表于 2025-3-29 04:04:03 | 只看該作者
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發(fā)表于 2025-3-29 08:07:00 | 只看該作者
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發(fā)表于 2025-3-29 13:04:58 | 只看該作者
47#
發(fā)表于 2025-3-29 18:08:50 | 只看該作者
https://doi.org/10.1007/978-981-32-9057-0is addressed with control agents having each a specific objective. The agents concur to provide system-wide control. A Wide-Area Measurement System provides the information necessary at each agent using its own representation of the system. First swing controls act as special protection systems in m
48#
發(fā)表于 2025-3-29 22:43:42 | 只看該作者
49#
發(fā)表于 2025-3-30 01:18:47 | 只看該作者
Formation of Epitaxial Graphene,e of the secondary voltage control is to eliminate any voltage violations in power system contingent operation. The introduction is presented through two example power systems, a simple single-machine infinite-bus power system and the New England 10-machine power system. The secondary voltage contro
50#
發(fā)表于 2025-3-30 04:28:50 | 只看該作者
Electronic Transport in Graphene,eration. Whereas intelligent agents solve subtasks autonomously, the supervision of the system state as a whole is still a human task. Therefore the user interface for energy management systems must be closely adapted to the human decision process.
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