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Proceedings Article
Implementation of non-traditional optimization techniques (PSO, CPSO, HDE) for the optimal load flow solutionPublished in IEEE
2008
This paper presents an approach to obtain the optimal load flow solution using three different intelligent techniques such as Particle Swarm Optimization (PSO), Crazy Particle Swarm Optimization (CPSO) and Hybrid Differential Evolution (HDE) subject to various system constraints. The above optimization techniques have a capability to provide global optimal solution in problem domains where a complete traversion of the whole search space is completely infeasible. The proposed method has been tested on Ward and Hale six bus system and IEEE-14 bus test system. The solutions obtained are quite encouraging and useful in solving the optimal load flow problem. The algorithm and simulation are carried using Matlab software.
Topics: Multi-swarm optimization (64)%64% related to the paper, Metaheuristic (62)%62% related to the paper, Meta-optimization (60)%60% related to the paper, Particle swarm optimization (59)%59% related to the paper and Derivative-free optimization (56)%56% related to the paper
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About the journal
| Journal | Data powered by TypesetTENCON 2008 - 2008 IEEE Region 10 Conference |
|---|---|
| Publisher | Data powered by TypesetIEEE |
| Open Access | 0 |
Authors (3)
Mageshvaran R- Implementation of non-traditional optimization techniques (PSO, CPSO, HDE) for the optimal load flow solution
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