Fast Processing Intelligent Wind Farm Controller for Production Maximisation

被引：16
|
作者：
Ahmad, Tanvir [1 ,2 ]
Basit, Abdul [1 ]
Anwar, Juveria [1 ]
Coupiac, Olivier [3 ]
Kazemtabrizi, Behzad [2 ]
Matthews, Peter C. [2 ]
机构：
[1] UET, US Pakistan Ctr Adv Studies Energy, Peshawar 25000, Pakistan
[2] Univ Durham, Sch Engn, Durham DH1 3LE, England
[3] Engie Green, F-59777 Lille, France
来源：
ENERGIES | 2019年 / 12卷 / 03期
关键词：
wind farm production maximisation; coordinated control; C-P-based optimisation; yaw-based optimisation; wake effects; turbulence intensity; Jensen model; particle swarm optimisation; COORDINATED CONTROL; POWER; WAKE; DYNAMICS; POINT; LOAD;
D O I：
10.3390/en12030544
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A practical wind farm controller for production maximisation based on coordinated control is presented. The farmcontroller emphasises computational efficiency without compromising accuracy. The controller combines particle swarm optimisation (PSO) with a turbulence intensity-based Jensen wake model (TI-JM) for exploiting the benefits of either curtailing upstream turbines using coefficient of power (CP) or deflecting wakes by applying yaw-offsets for maximising net farm production. Firstly, TI-JM is evaluated using convention control benchmarking WindPRO and real time SCADA data from three operating wind farms. Then the optimised strategies are evaluated using simulations based on TI-JM and PSO. The innovative control strategies can optimise a medium size wind farm, Lillgrund consisting of 48 wind turbines, requiring less than 50 s for a single simulation, increasing farm efficiency up to a maximum of 6% in full wake conditions.
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收藏
页数：17
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