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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yinliang Xu Wenxin Liu Jun Gong |
| Copyright Year | 1969 |
| Abstract | If generation in a power system is insufficient to power all loads, efficient load shedding operations may need to be deployed to maintain the supply-demand balance. This paper proposes a distributed multi-agent-based load shedding algorithm, which can make efficient load shedding decision based on discovered global information. During the information discovery process, only communications between immediate neighboring agents are used. The information discovery algorithm is represented as a discrete time linear system and the stability of which is analyzed according to average-consensus theorem. According to rigorous stability analysis, convergence of the designed algorithm can be guaranteed. To improve the speed of the algorithm, particle swarm optimization (PSO) is used to optimize the coefficients for information exchange so that the second largest eigenvalue of the iteration matrix is minimized. According to the designed algorithm, total net active power and operating status of loads can be discovered accurately even with faults. Based on the discovered information, coordinated load shedding decision can be made. |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 2006 |
| Ending Page | 2014 |
| Page Count | 9 |
| File Size | 741621 |
| File Format | |
| ISSN | 08858950 |
| Volume Number | 26 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Multiagent systems Power system dynamics Decision making Stability analysis Particle swarm optimization particle swarm optimization Average-consensus theorem load shedding multi-agent system |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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