Artificial fish swarm optimization algorithm for power system state estimation
In this paper, the power system state estimation (SE) problem is formulated as a general non-linear programming problem with equality constraints and boundary limits on the state variables. The proposed SE problem is solved using an evolutionary based Artificial Fish Swarm Optimization Algorithm (AF...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2020-06-01.
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| Online Access: | Get fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |