Research on Dynamic Intelligent Information Processing Method for Distributed Generation Systems Based on Multi-Agent Techniques

다국어 초록 (Multilingual Abstract)

Distributed renewable energy generation is lack of intelligent information processing and decision-making section. The above problems can be solved effectively by the means of intelligent information processing technology based on the dynamic structure of multi-agent for distributed renewable energy. In order to solve the problems of less data and poor information, this paper puts forward fuzzy hyperbolic model and attempts to use dynamic intelligent information processing technology based on multi-agent to change the unreliable, inaccurate information into be full, reliable and accurate. And then the information we have obtained could be intelligent fitted, filtered and decided. The self-organizing self-learning and reasoning ability of multi-agent are considered when the information processing. The intelligent information processing section is comprised of three layers and two kinds of agents. The two kinds of agents are Bus Agents and Coordination Agents, and the three structural layers are the data layer, the filter layer and the policy making layer. Moreover the information have been processed could be utilized.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Fuzzy Hyperbolic Model of Distributed Renewable Energy Power Generation System Building
• 3. Dynamic Intelligent Information Processing Based on Multi-Agent of Distributed Renewable Energy Generation Systems
• 3.1. Working Process of Data Layer
• 3.2. Working Process of Filter Layer
• 3.3. Working Process of Policy Making Layer
• 4. Conclusion
• Ackownledgments
• References