智能家庭混合能源管理的动态建模与优化  

Dynamic Model and Optimization of Hybrid Energy Management in Smart Home

作　　者：沈加健[1] 杨根科[1] 潘常春[1] 

机构地区：[1]上海交通大学自动化系,上海200240

出　　处：《微型电脑应用》2012年第4期9-14,共6页Microcomputer Applications

基　　金：国家自然科学基金资助项目(61074150);国家高技术研究发展计划(863)项目(2009AA04Z162)

摘　　要：智能电网使家庭由静态的能源消费者向动态参与者转变,需对多种不同的供能设备进行协同优化控制。以电网、光伏发电、太阳能集热器及储能电池4种能源为智能家庭的供给源,以室温控制、热水供应为两大主要服务目标,以最小化能源费用支出为优化指标,建立了家庭能源管理的优化控制模型,并提出基于粒子群算法的智能求解策略。通过对某虚拟家庭的仿真,验证了模型和算法的有效性。With the development of smart grid, the role of family will be gradually transformed from the pure consumer into both an energy client and supplier. In this case, various energy devices should be coordinated and optimized to achieve better user satisfaction as well as low electricity bills. This paper establishes the optimal control model of energy management at home, and proposes an intelligent solution strategy based on particle swarm optimization. Particularly, this paper considers four types of energy suppliers including power, photovoltaic, solar collectors, and energy storage battery, and try to minimize the energy expenditure while satisfying the user demand for air temperature and hot water supply. Finally, this article demonstrates the effectiveness of our model and algorithm via simulation.

关 键 词：建模 优化控制 能源管理 粒子群算法 

分 类 号：TK01[动力工程及工程热物理]