基于模型预测控制的家庭能源局域网最优能量管理研究

发布时间：2018-05-01 09:43

本文选题：能源互联网 + 模型预测控制　；参考：《中国电机工程学报》2015年14期

【摘要】：能源互联网是解决未来大规模可再生能源发电接入,提高电力质量与用户需求侧管理水平,以及增强电网系统安全性、可靠性、经济性的重要手段。未来家庭能源局域网作为能源互联网的一种子网,由可再生能源发电设备、分布式可控发电设备、储能系统、电动汽车和智能负载等组成,有必要对其进行最优能量管理以实现经济、安全地运行,并与其它能源局域网协同以提高能源互联网系统的整体性能。文中在建立家庭能源局域网系统结构模型的基础上,构建家庭能源局域网能量管理的混合整数二次规划模型,并运用模型预测控制方法实现该能源局域网的在线能量管理。仿真结果表明,文中提出的基于模型预测控制的家庭能源局域网能量管理策略能够有效实现能量的优化分配,并在预测不确定性环境下具有较强的鲁棒性。
[Abstract]:Energy Internet is an important means to solve the problem of large-scale renewable energy generation access, improve the power quality and user demand side management level, and enhance the security, reliability and economy of power system. As a subnet of the energy Internet, the future home energy local area network is composed of renewable energy generation equipment, distributed controllable generation equipment, energy storage system, electric vehicles and intelligent load, etc. It is necessary to carry out the optimal energy management to realize the economical, safe operation and cooperate with other energy local area networks to improve the overall performance of the energy Internet system. Based on the system structure model of home energy local area network, the mixed integer quadratic programming model of energy management in home energy local area network is constructed in this paper, and the on-line energy management of the energy local area network is realized by using model predictive control method. Simulation results show that the energy management strategy proposed in this paper based on model predictive control can effectively achieve the optimal energy allocation and is robust in the environment of predictive uncertainty.
【作者单位】：国防科技大学;
【分类号】：TM73

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