Abstract
The increasing demand coupled with expanding installation of distributed resources call for the development of smart technologies to control and optimize distribution system operations. In this paper, a distributed generation and storage optimization algorithm is proposed using pricing signals as distribution locational marginal pricing (DLMP). This signal is used to optimize the day-ahead operation planning of distributed generation and energy storage. A distribution level state estimation algorithm is also designed. The main conclusion is that the proposed optimal control and state estimation will improve the energy efficiency and economic benefits in a digitally controlled distribution power system. © 2013 IEEE.
Recommended Citation
F. Meng et al., "Distributed Generation and Storage Optimal Control with State Estimation," IEEE Transactions on Smart Grid, vol. 4, no. 4, pp. 2266 - 2273, article no. 6585762, Institute of Electrical and Electronics Engineers, Dec 2013.
The definitive version is available at https://doi.org/10.1109/TSG.2013.2266328
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Digital system control; Distributed resource optimization; Distribution locational marginal prices; Solid state controllers; State estimation
International Standard Serial Number (ISSN)
1949-3053
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2013
