Control law design for the air-turbine-generator set of a fully submerged 1.5 MW mWave prototype. Part 1: Numerical modelling

被引:10
作者
Carrelhas, A. A. D. [1 ]
Gato, L. M. C. [1 ]
Falcao, A. F. O. [1 ]
Henriques, J. C. C. [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, IDMEC, Av Rovisco Pais 1, P-1049001 Lisbon, Portugal
关键词
Wave energy; Membrane-pump; Air turbine; Generator control; Adaptive control; Numerical modelling; WAVE ENERGY CONVERTERS; CONTROL STRATEGIES; FUTURE-PROSPECTS; POWER; SYSTEMS; CONVERSION; DYNAMICS; WIND;
D O I
10.1016/j.renene.2021.09.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A fully-submerged bottom-standing 1.5 MW wave energy converter (WEC) equipped with a membrane-pump system is under development for installation at a test site off the coast of Pembrokeshire, Wales, UK. The system comprises several flexible-membrane air cells that are compressed and sucked by the action of the waves, rectifying valves, low-pressure and high-pressure ducts, and a unidirectional air turbine that drives an electrical generator. This two-part paper reports the design and testing of an effective control law to be implemented into the programmable logic controller of the membrane-pump turbine-generator set, allowing efficient and safe operation for the wave climate at the Pembrokeshire test site. Part 1 of this paper concerns developing the design strategy of the control laws, the numerical model, and the performance evaluation of the WEC power take-off system. A genetic algorithm is used to design control laws to maximise each sea state's WEC time-average efficiency. An adaptive control al-gorithm is devised by cross-correlating the control laws parameters and the rotational speed. The final result is a control law that uses input the rotational speed signal and airflow density. It adapts to the sea state conditions while maximising the time-average total efficiency of the membrane-pump WEC for deployment off the Pembrokeshire coast. (c) 2021 Published by Elsevier Ltd.
引用
收藏
页码:1402 / 1418
页数:17
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