Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4250-4250.
Abstract
Demand Response (DR) allows utilities to curtail electricity consumption during peak demand periods. Real time automated DR can offer utilities a scalable solution for fine grained control of curtailment over small intervals for the duration of the entire DR event. In this work, we demonstrate a system for a real time automated Dynamic DR (D2R). Our system has already been integrated with the electrical infrastructure of the University of Southern California, which offers a unique environment to study the impact of automated DR in a complex social and cultural environment including 170 buildings in a city-within-a-city scenario. Our large scale information processing system coupled with accurate forecasting models for sparse data and fast polynomial time optimization algorithms for curtailment maximization provide the ability to adapt and respond to changing curtailment requirements in near real-time. Our D2 R algorithms automatically and dynamically select customers for load curtailment to guarantee the achievement of a curtailment target over a given DR interval.
@inproceedings{ijcai2016p645,
title = {Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid},
author = {Kuppannagari, Sanmukh R. and Kannan, Rajgopal and Chelmis, Charalampos and Prasanna, Viktor K.},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4250--4250},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/645},
}
TY - CPAPER TI - Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid AU - Kuppannagari, Sanmukh R. AU - Kannan, Rajgopal AU - Chelmis, Charalampos AU - Prasanna, Viktor K. T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4250 EP - 4250 UR - https://ijcai.org/proceedings/2016/645 ER -Copied
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