能源互联网动态协调优化控制体系构建  

Construction of Dynamic Coordinated Optimization Control System for Energy Internet

作　　者：孙秋野[1] 滕菲[1] 张化光[1] 马大中[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁省沈阳市110819

出　　处：《中国电机工程学报》2015年第14期3667-3677,共11页Proceedings of the CSEE

摘　　要：能源互联网是多种能源网络与信息互联网高度耦合的产物。针对如何充分地利用能源互联网的共享信息,对能源互联网中多种能源进行合理规划利用的问题,提出一种能源互联网协调优化控制策略以实现分布式可再生能源的高效利用。通过对一次能源侧的一次能源进行调度优化,实现分布式可再生能源的大规模利用和共享,最小化一次能源侧能源消耗,降低供能成本,提高供能可靠性,对供电网络、供热网络等多种主能源网络起到强有力的支撑作用。为快速、有效地平抑用户侧负荷波动,维持网络稳定性,提出一种基于动态多智能体系统的动态负荷需求响应团队机制。采用多智能体包含控制算法进行能源互联网内电能的电压控制,保证输出电能的高质量。Energy internet is a kind of novel interconnected multi-energy-grids,highly coupled with the information internet. To utilize the distributed renewable energies in the energy internet reasonably,a coordinated optimization control strategy was proposed,based on the shared information internet. Firstly,the large-scale use and share of distributed renewable energies could be achieved by scheduling and optimizing primary energies. Meanwhile,the primary energy consumption could be minimized,the energy supply costs could be reduced,and the reliability of energy supply could be improved,while the energy internet provided strong supports for the power system,the heating system and other main energy grids. Then a dynamic load demand response team mechanism,based on a dynamic multi-agent system,was established to eliminate load fluctuation quickly and efficiently,maintaining the stability of the energy internet. Finally,multi-agent containment control algorithm was applied in the voltage control to guarantee high power quality.

关 键 词：能源互联网 分布式可再生能源 协调优化控制 动态多智能体系统 动态负荷需求响应团队 

分 类 号：TM76[电气工程—电力系统及自动化]