A Distributed Dynamic Programming-Based Solution for Load Management in Smart Grids
Document Type
Article
Publication Date
3-1-2018
Abstract
Load management (LM) is being recognized as an important option for active user participation in the energy market. Traditional LM methods usually require a centralized powerful control center and a two-way communication network between the system operators and energy end-users. The increasing user participation in smart grids may limit their applications. In this paper, a distributed solution for LM in emerging smart grids is proposed. The LM problem is formulated as a constrained optimization problem aiming at maximizing the overall utility of users while meeting the requirement for load reduction requested by the system operator, and is solved by using a distributed dynamic programming (DDP) algorithm. The algorithm is implemented via a distributed framework and thus can deliver a highly desired distributed solution. It avoids the required use of a centralized coordinator or control center, and can achieve satisfactory outcomes for LM. Simulation results with various test systems demonstrate its effectiveness.
Identifier
84961828940 (Scopus)
Publication Title
IEEE Systems Journal
External Full Text Location
https://doi.org/10.1109/JSYST.2016.2536141
e-ISSN
19379234
ISSN
19328184
First Page
402
Last Page
413
Issue
1
Volume
12
Grant
51507037
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Zhang, Wei; Xu, Yinliang; Li, Sisi; Zhou, Meng Chu; Liu, Wenxin; and Xu, Ying, "A Distributed Dynamic Programming-Based Solution for Load Management in Smart Grids" (2018). Faculty Publications. 8833.
https://digitalcommons.njit.edu/fac_pubs/8833
