可再生能源分布式发电能量管理的复杂性研究

Abstract

本文主要研究可再生能源分布式发电系统能量的优化与协调问题.基于系统能量管理中优化与协调控制问题的复杂性,提出采用基于Agent的建模与仿真方法进行研究.针对系统要求,以分散式发电系统的实体节点的映射封装Agent,提出了智能混合控制Agent的概念,建立了3层混合Agent的内部结构模型;并建立了以个体层、组织层和社会层构成的3层动态层级MAS体系结构,进一步辅以主导Agent和移动Agent辅助系统优化与决策,最终建立了一种新的面向再生能源的分散式发电系统能量管理的MAS宏观模型.最后应用有色Petri网对系统的优化与协调过程进行了动态模拟,验证了所提出的结构的正确性、合理性和有效性. A new system of energy management for distributed renewable energy generation is proposed. The complex characteristic of this system is analyzed, and requirements on coordination and optimization for energy management are presented in the agent-based modeling simulation. The intelligent hybrid agent is proposed with a three layer model, and a dynamic macro multiple agent system is built. New concepts of the main-agent and the mobile-agent are proposed to facilitate the decision-making and the system optimization. Finally, a colored Petri net is built and applied to simulate the cooperation and optimization process of the system in operation. The results show that the system is valid, rational and effective.