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| 可再生能源分布式发电能量管理的复杂性研究 | |
| 引用本文： | 曾君,刘俊峰,吴丽群,吴捷,颜汉荣.可再生能源分布式发电能量管理的复杂性研究[J].控制理论与应用,2012,29(2):257-264. |
| 作者姓名： | 曾君 刘俊峰 吴丽群 吴捷 颜汉荣 |
| 作者单位： | 1. 华南理工大学电力学院,广东广州510640；广东省绿色能源重点实验室,广东广州510640 2. 香港理工大学电机工程学系,香港红磡 3. 广东工业大学自动化学院,广东广州,510006 |
| 基金项目： | 国家自然科学基金资助项目(60904078); 国家自然科学基金资助项目(51177050); 中国博士后基金特别资助项目; 华南理工大学中央高校基本科研业务费资助项目(x2dl-D211081W). |
| 摘 要： | 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. |
| 关 键 词： | 可再生能源 分布式发电 能量管理 优化与协调 多Agent系统 |
| 收稿时间： | 2011/6/22 0:00:00 |
| 修稿时间： | 2011/12/20 0:00:00 |
Complex characteristics of energy management system for distributed renewable energy generation |
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| ZENG Jun,LIU Jun-feng,WU Li-qun,WU Jie and NGAN H.W..Complex characteristics of energy management system for distributed renewable energy generation[J].Control Theory & Applications,2012,29(2):257-264. | |
| Authors: | ZENG Jun LIU Jun-feng WU Li-qun WU Jie and NGAN HW |
| Affiliation: | College of Electric Power, South China University of Technology; Guangdong Key Laboratory of Clean Energy Technology,Department of Electrical Engineering, Hong Kong Polytechnic University,Faculty of Automation, Guangdong University of Technology,College of Electric Power, South China University of Technology; Guangdong Key Laboratory of Clean Energy Technology,Department of Electrical Engineering, Hong Kong Polytechnic University |
| Abstract: | 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. |
| Keywords: | renewable energy distribution generation energy management optimization and cooperation multi-agent system |
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