TY - GEN
T1 - Distributed demand and response algorithm for optimizing social-welfare in smart grid
AU - Dong, Qifen
AU - Yu, Li
AU - Song, Wen Zhan
AU - Tong, Lang
AU - Tang, Shaojie
PY - 2012
Y1 - 2012
N2 - This paper presents a distributed Demand and Response algorithm for smart grid with the objective of optimizing social-welfare. Assuming the power demand range is known or predictable ahead of time, our proposed distributed algorithm will calculate demand and response of all participating energy demanders and suppliers, as well as energy flow routes, in a fully distributed fashion, such that the social-welfare is optimized. During the computation, each node (e.g., demander or supplier) only needs to exchange limited rounds of messages with its neighboring nodes. It provides a potential scheme for energy trade among participants in the smart girds. Our theoretical analysis proves that the algorithm converges even if there is some random noise induced in the process of our distributed Lagrange-Newton based solution. The simulation also shows that the result is close to that of centralized solution.
AB - This paper presents a distributed Demand and Response algorithm for smart grid with the objective of optimizing social-welfare. Assuming the power demand range is known or predictable ahead of time, our proposed distributed algorithm will calculate demand and response of all participating energy demanders and suppliers, as well as energy flow routes, in a fully distributed fashion, such that the social-welfare is optimized. During the computation, each node (e.g., demander or supplier) only needs to exchange limited rounds of messages with its neighboring nodes. It provides a potential scheme for energy trade among participants in the smart girds. Our theoretical analysis proves that the algorithm converges even if there is some random noise induced in the process of our distributed Lagrange-Newton based solution. The simulation also shows that the result is close to that of centralized solution.
KW - Demand Response
KW - distributed
KW - Lagrange-Newton method
KW - Social-Welfare
UR - https://www.scopus.com/pages/publications/84866858232
U2 - 10.1109/IPDPS.2012.112
DO - 10.1109/IPDPS.2012.112
M3 - Conference contribution
AN - SCOPUS:84866858232
SN - 9780769546759
T3 - Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012
SP - 1228
EP - 1239
BT - Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012
T2 - 2012 IEEE 26th International Parallel and Distributed Processing Symposium, IPDPS 2012
Y2 - 21 May 2012 through 25 May 2012
ER -