Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Affiliates 
 Visitors 
 Students 
 Research 
 ICAM-LANL 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Colloquia 
 Colloquia Archive 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 CMS Colloquia 
 Q-Mat Seminars 
 Q-Mat Seminars Archive 
 P/T Colloquia 
 Archive 
 Kac Lectures 
 Kac Fellows 
 Dist. Quant. Lecture 
 Ulam Scholar 
 Colloquia 
 
 Jobs 
 Postdocs 
 CNLS Fellowship Application 
 Students 
 Student Program 
 Visitors 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Thursday, December 19, 2013
12:30 PM - 2:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Distributed Smart Grid Management Model

Kiyoshi Nakayama
University of California, Irvine

Future smart grids will likely support bi-directional flow of electricity and include power production from multiple, disparate, and uncontrollable sources due to a high penetration of distributed renewable energy resources. Some of the more challenging problems for the future grid include maximizing the use and efficiency of renewable resources, and realizing optimal demand and power production responses that can complement renewable intermittency. Integration of renewables together with energy storage systems has been motivated by the increasing attention to feature renewable energies from not only solar and wind power but also the excess generation from many customers. Effective use of renewable resources using battery systems can be realized by balanced distribution of such distributed energy resources (DERs) with complementary demand and dispatchable generation responses. The spatial distribution, intermittency, and uncontrollability of most renewable resources, however, make stable and reliable electricity transmission and distribution difficult especially with high renewable market penetration in large-scale complex power networks.

In order to use energy storage systems effectively to optimize DERs as well as realize a reliable and sustainable future grid, we present an autonomous distributed management model that can realize optimum power flow control together with demand and power response, which especially integrates Kirchhoff’s core theory and autonomous agent systems.

Host: Misha Chertkov