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Fuzzy Evaluation Based Multi-objective Reactive Power Optimization in Distribution Networks

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

A fuzzy evaluation based multi-objective optimization model for reactive power optimization in power distribution networks is presented in this paper. The two objectives, reducing active power losses and improving voltage profiles, are evaluated by membership functions respectively, so that the objectives can be compared in a single scale. To facilitate the solving process, a compromised objective is formed by the weighted sum approach. The weights are decided according to the preferences and importance of the objectives. The reactive tabu search algorithm is employed to get global optimization solutions. Simulation results of a practical power distribution network, greatly improved voltage profiles and reduced power losses, demonstrated that the proposed method is effective.

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© 2005 Springer-Verlag Berlin Heidelberg

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Shi, J., Liu, Y. (2005). Fuzzy Evaluation Based Multi-objective Reactive Power Optimization in Distribution Networks. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_2

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  • DOI: https://doi.org/10.1007/11539506_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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