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Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method

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Artificial Neural Networks and Machine Learning – ICANN 2013 (ICANN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8131))

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Abstract

The optimal economic operation of a thermal electric power production system without considering transmission losses is a critical problem for ships, aircrafts, island power systems and it is usually solved with Lagrange method. In this paper, an alternative solution method is proposed using artificial neural networks (ANN) based on augmented Lagrange multiplier method with equality and inequality constraints. The respective theoretical analysis is presented, while a specific case study is studied. The advantages and disadvantages of the method are discussed and compared with the classical Lagrange method and ANN method based on external penalty functions.

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References

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Tsekouras, G.J., Kanellos, F.D., Mastorakis, N.E., Mladenov, V. (2013). Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method. In: Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A.E.P., Appollini, B., Kasabov, N. (eds) Artificial Neural Networks and Machine Learning – ICANN 2013. ICANN 2013. Lecture Notes in Computer Science, vol 8131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40728-4_73

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  • DOI: https://doi.org/10.1007/978-3-642-40728-4_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40727-7

  • Online ISBN: 978-3-642-40728-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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