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Center for Nonlinear Studies |
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