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dc.contributor.authorMuyeen, S.M.
dc.contributor.authorHasanien, H.
dc.identifier.citationMuyeen, S. and Hasanien, H. 2017. Operation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique. IET Generation, Transmission and Distribution. 11 (9): pp. 2275-2282.

© 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.

dc.publisherThe Institution of Engineering and Technology
dc.titleOperation and control of HVDC stations using continuous mixed p-norm-based adaptive fuzzy technique
dc.typeJournal Article
dcterms.source.titleIET Generation, Transmission and Distribution
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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