distributed energy management with limited communication-九游会平台

报告题目：distributed energy management with limited communication

报 告 人：professor na li,

harvard university, usa

报告时间：2015年12月22日，

星期二，上午09:30

报告地点：清华大学西主楼3区102

主办单位：清华大学电机系

联 系 人：谢小荣

报告内容：

a major issue in future smart grid is how intelligent devices and independent producers can respectively change their power consumption/production to achieve near maximum efficiency for the power network. limited communication between devices, producers etc. necessitates an approach where the elements of the network can act in an autonomous manner with limited information/communication to achieve near optimal performance. in this talk, i will present our recent work on distributed energy management with limited communication. in particular, i will show how we can use one-way communication with quantization to coordinate energy consumption among different users. we will investigate the minimum amount of communication for achieving the optimal energy management and study how the quantization affects the convergence rate of the distributed algorithms.

报告人简介：

na li is an assistant professor in the school of engineering and applied sciences in harvard university since 2014. she received her phd degree in control and dynamical systems from california institute of technology in 2013 and was a postdoctoral associate of the laboratory for information and decision systems at massachusetts institute of technology.

her research concerns the design, analysis, optimization and control of distributed network systems, with particular applications to power networks and systems biology/physiology. the goal is to develop foundational theories and tools to exploit real world system structures that can lead to computationally efficient and distributed solutions, and apply them to improve systems operations and architecture. her research has been interdisciplinary in nature, exploiting the structures using domain specific modeling and mathematical tools including data analysis, game theory, optimization, information theory, dynamical systems, and control.