Reserve-Constrained Multiarea Environmental/Economic Dispatch Using Enhanced Particle Swarm Optimization

Part of book or chapter of book English OPEN
Wang, Lingfeng ; Singh, Chanan (2007)
  • Publisher: InTech

Source: Swarm Intelligence: Focus on Ant and Particle Swarm Optimization, Book edited by: Felix T. S. Chan and Manoj Kumar Tiwari, ISBN 978-3-902613-09-7, pp. 532, December 2007, Itech Education and Publishing, Vienna, Austria
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    Eiben, A. E. & Smith, J. E. (2003). Introduction to Evolutionary Computing, Springer-Verlag.

    Jayabarathi, T.; Sadasivam, G. & Ramachandran, V. (2000). Evolutionary programmingbased multi-area economic dispatch with tie line constraints, Electric Machines and Power Systems, Vol. 28, pp. 1165-1176.

    Kennedy, J. & Eberhart, R. (1995). Particle swarm optimization, IEEE Proceedings of the International Conference on Neural Networks, Perth, Australia, pp. 1942-1948.

    Kennedy, J. & Eberhart, R. (2001). Swarm Intelligence, Morgan Kauf-mann Publishers, San Francisco.

    Lee, K.Y.; Yome, A.S. & Park, J.H. (1998). Adaptive Hopfield neural networks for economic load dispatch, IEEE Transactions on Power Systems, Vol. 13, No. 2, pp. 519-526.

    Streiffert, D. (1995). Multi-area economic dispatch with tie line constraints, IEEE Trans. on Power Systems, Vol. 10, No. 4, pp. 1946-1951.

    Talaq, J. H.; EI-Hawary, F. & EI-Hawary, M. E. (1994). A summary of environmental/economic dispatch algorithms, IEEE Transactions on Power Systems, Vol. 9, No. 3, pp. 1508-1516.

    Wang, C. & Shahidepour, S. M. (1992). A decomposition approach to non-linear multi-area generation scheduling with tie line constraints using expert systems, IEEE Trans, on Power Systems, Vol. 7, No. 4, pp. 1409-1418.

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