Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique

© The Institution of Engineering and Technology. The power system is purely non-linear and there exist a lot of uncertainties in generation, transmission, and distribution sectors. This study focuses on the operation and control of a voltage source converter (VSC)-based high voltage direct current (...

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Main Authors: Muyeen, S.M., Hasanien, H.
Format: Journal Article
Published: The Institution of Engineering and Technology 2017
Online Access:http://hdl.handle.net/20.500.11937/58437
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author Muyeen, S.M.
Hasanien, H.
author_facet Muyeen, S.M.
Hasanien, H.
author_sort Muyeen, S.M.
building Curtin Institutional Repository
collection Online Access
description © The Institution of Engineering and Technology. The power system is purely non-linear and there exist a lot of uncertainties in generation, transmission, and distribution sectors. This study focuses on the operation and control of a voltage source converter (VSC)-based high voltage direct current (HVDC) transmission system, which can cope up with system non-linearity and parameter uncertainties. The HVDC system connects an offshore wind farm to the onshore power grid. A new adaptive fuzzy logic controller is proposed for both onshore and offshore HVDC stations to control the real and reactive power flow in normal and undertrain parameter conditions. The adaptive technique is based on the continuous mixed p-norm algorithm, which updates the fuzzy inference system automatically at a high convergence speed. The performance of the proposed adaptive controller is tested under different parameter uncertainties and the results are compared with Taguchi optimisation-based proportional-integral controllers.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T10:12:56Z
publishDate 2017
publisher The Institution of Engineering and Technology
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spelling curtin-20.500.11937-584372017-11-24T05:45:56Z Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique Muyeen, S.M. Hasanien, H. © The Institution of Engineering and Technology. The power system is purely non-linear and there exist a lot of uncertainties in generation, transmission, and distribution sectors. This study focuses on the operation and control of a voltage source converter (VSC)-based high voltage direct current (HVDC) transmission system, which can cope up with system non-linearity and parameter uncertainties. The HVDC system connects an offshore wind farm to the onshore power grid. A new adaptive fuzzy logic controller is proposed for both onshore and offshore HVDC stations to control the real and reactive power flow in normal and undertrain parameter conditions. The adaptive technique is based on the continuous mixed p-norm algorithm, which updates the fuzzy inference system automatically at a high convergence speed. The performance of the proposed adaptive controller is tested under different parameter uncertainties and the results are compared with Taguchi optimisation-based proportional-integral controllers. 2017 Journal Article http://hdl.handle.net/20.500.11937/58437 10.1049/iet-gtd.2016.1690 The Institution of Engineering and Technology restricted
spellingShingle Muyeen, S.M.
Hasanien, H.
Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
title Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
title_full Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
title_fullStr Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
title_full_unstemmed Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
title_short Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
title_sort operation and control of hvdc stations using continuous mixed p-norm-based adaptive fuzzy technique
url http://hdl.handle.net/20.500.11937/58437