The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Novel Multiagent Based Load Restoration Algorithm for Microgrids
Abstract
Once a fault in microgrids has been cleared, it is necessary to restore the unfaulted but out-of-service loads as much as possible in a timely manner. This paper proposes a novel fully distributed multiagent based load restoration algorithm. According to the algorithm, each agent makes synchronized load restoration decision according to discovered information. During the information discovery process, agents only communicate with their direct neighbors, and the global information is discovered based on the Average-Consensus Theorem. In this way, total net power, indexes and demands of loads that are ready for restoration can be obtained. Then the load restoration problem can be modeled and solved using existing algorithms for the 0–1 Knapsack problem. To achieve adaptivity and stability, a distributed algorithm for coefficient setting is proposed and compared against existing algorithms and a particle swarm optimization based algorithm. Theoretically, the proposed load restoration algorithm can be applied to systems of any size and structure. Simulation studies with power systems of different scale demonstrate the effectiveness of the proposed algorithm.
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Cites
Horn, R. A., & Johnson, C. R. (1985) · Cited by 22,203
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522 · cited 1×
“Recently, consensus algorithm has attracted great interests in various areas,such as random networks [15], multirobot system [16], collective behavior of flocks and swarm [17], etc. A recent survey can be found in [ 18 ].”
BackgroundAn Introduction to MultiAgent Systems
Wooldridge, M. (2002) · Cited by 5,394
Fast linear iterations for distributed averaging
Xiao, L., & Boyd, S. (2004) · Systems & Control Letters · doi:10.1016/j.sysconle.2004.02.022 · Cited by 2,706
Distributed average consensus with least-mean-square deviation
Xiao, L., Boyd, S., & Kim, S.-J. (2007) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2006.08.010 · Cited by 1,107
Robust Finite-Time Consensus Tracking Algorithm for Multirobot Systems
Khoo, S., Xie, L., & Man, Z. (2009) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2009.2014057 · Cited by 835
Agreement over random networks
Hatano, Y., & Mesbahi, M. (2004) · 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) · doi:10.1109/cdc.2004.1430343 · Cited by 550
Agreement over random networks
Hatano, Y., & Mesbahi, M. (2005) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.858670 · Cited by 503
Doubly Stochastic Matrices and the Diagonal of a Rotation Matrix
Horn, A. (1954) · American Journal of Mathematics · doi:10.2307/2372705 · Cited by 497
A Multi-Agent Solution to Distribution Systems Restoration
Solanki, J. M., Khushalani, S., & Schulz, N. N. (2007) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2007.901280 · Cited by 308
Cited by
Research on Resilience of Power Systems Under Natural Disasters—A Review
Wang, Y., Chen, C., Wang, J., & Baldick, R. (2016) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2429656 · Cited by 1,116
Chen, P., Liu, S., Chen, B., & Yu, L. (2022) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2022.3142087 · Cited by 120
Metadata
- Authors
- Xu, Y., & Liu, W.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2011-03
- Volume
- 2
- Issue
- 1
- Pages
- 152-161
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2116540016
- Cited by
- 334
- References
- 16
- FWCI
- 35.24
- Type
- journal article
- Language
- en
- Open access
- closed
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