Research on Energy-Hub Control Method of Micro-grid Based on Multi-agent & Petri Nets
Zhangjiajie（2013）
Abstract
Micro-grid is a emerging smart grid products in recent years. It can integrate distributed resources of regional and electricity load effectively. It has an efficient use of renewable energy characteristics. With more and more application of micro-grid, micro power grid operation has caused wide public concern over the stability of the control method. This paper introduces Energy-Hub to the typical structure of Micro-grid as a energy interaction, communication, control center. We use the way of the Multi-Agent combined with Petri-nets analysis algorithm to integrated control analysis in the Energy-Hub. Finally, we use stability regulation analysis method and system self-recovery stabilization method into a typical micro-grid to simulate, contrast. The simulation results show that within the Energy-Hub using MAS and colored Petri-net for real-time stability control effect is obvious and it has stronger practicability.
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Key words
microgrid,image semantic information,integrated control analysis,power system stability,system self-recovery stabilization method,linear combination,renewable energy characteristics,petri nets,micropower grid operation,image mining,original non-negative matrix,real-time stability control effect,control engineering computing,training image,semantic space,energy interaction,control center,multi-agent systems,control method stability,non-negative matrix factorization,distributed resources,good approximation,power engineering computing,smart power grids,distributed power generation,multimodal training matrix,regional load,training images dataset,energy-hub control method,multiagent systems,stability regulation analysis method,power generation control,coloured petri nets,electricity load,low-rank nonnegative matrix,low-rank matrix approximation method,smart grid products
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