Application and comparison of computational intelligence techniques for optimal location and parameter setting of UPFC

Author:

Shaheen H.I.,Rashed G.I.,Cheng S.J.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference28 articles.

1. Optimal placement of UPFC in power systems using genetic algorithm;Arabkhaburi;In: IEEE International Conference on Industrial Technology,2006

2. Babu, B.V., Jehan, M.M.L., 2003. Differential Evolution for Multi-Objective Optimization. In: Proceedings of the Congress on Evolutionary Computation, vol. 4, pp. 2696–2703.

3. An analysis of the interacting roles of population size and crossover in genetic algorithms;DeJong;In: Proceedings of the First Workshop on Parallel Problem Solving from Nature,1990

4. Swarm Intelligence;Eberhart,2001

5. Particle Swarm Optimization: Development, Applications and Resources;Eberhart,2002

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