| 引用本文: | 陈璟华,杨宜民,张伯泉.基于多Agent的风力/太阳能互补发电场能量管理系统[J].电力自动化设备,2007,27(8):81-85 |
| .Energy management system of hybrid power generation field based on multi-agent system[J].Electric Power Automation Equipment,2007,27(8):81-85 |
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| 摘要: |
| 为提高互补发电场能量管理的合理性,提出采用多Agent技术实现其能量的分布式管理。针对一个独立供电的互补发电场,设计该发电场能量管理系统的组织结构,构造其能量管理Agent的理论模型及各组成模块。在该系统中,Agent采用非固定主从式合作机制,并根据当前采样时刻的最大出力确定Agent之间的主从关系。讨论了能量管理系统中多Agent的协调和协作机制,在采用合同网合作方法的基础上引入市场竞争,通过招、投标确定有调节能力的从Agent。将微粒群算法作为Agent的决策算法,用以确定中标Agent的最佳调节序列,实现母线电压越限时的能量优化管理。最后,采用数字仿真证明了该能量管理系统的可行性。 |
| 关键词: 多Agent,风力/太阳能,互补发电场,微粒群算法 |
| DOI： |
| 分类号:TM614 TM615 |
| 基金项目:国家自然科学基金资助项目(60534040)，广东省自然科学基金资助项目(05001819)~~ |
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| Energy management system of hybrid power generation field based on multi-agent system |
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CHEN Jing-hua YANG Yi-min ZHANG Bo-quan
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| Abstract: |
| In order to improve the rationality of energy management system of hybrid power generation field,the multi-agent technology is used to implement its distributed management.Its architecture,theoretical agent model and different component modules are designed,in which the non-fixed master-slave cooperative mechanism is used to agents,and the master or slave agent is defined according to current power outputs.The cooperation among agents is discussed,to which the market competition is applied based on contract-net.The qualified slave agents are invited by public bidding.The particle swarm optimization algorithm is used to set the optimal sequence of selected agents.Simulation result shows the feasibility of proposed scheme. |
| Key words: multi-agent,wind-solar,hybrid power generation field,particle swarm optimization |
