基于集中控制的风电场风力机功率系数设计

Dwiana Hendrawati, Brainvendra Widi Dionova, Sahid, Jafar Mukhlis, A. Khoryanton
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引用次数: 0

摘要

风电场(WF)是一组在同一地点同时发电的风力涡轮机。尾流效应是影响尾流优化设计的主要因素之一。WE的影响可以从一些涡轮机的速度下降中得知,这是由于涡轮机之间的相互作用对WF造成的。这个问题可能会导致WF的输出功率下降。为了解决这一问题,对WF中的所有涡轮机进行功率系数(Cp)控制。本研究设计了集中控制,检测每台涡轮机的cp值,修改cp值,获得每台涡轮机的最优cp值,从而增加速度赤字或增加WF输出功率。与控制器之间的数据通信可以通过dcs(分布式控制系统)完成。控制器上Cp数据的处理采用萤火虫算法,该算法受迭代次数和收敛误差值的限制。在模拟Cp优化值的实现后,结果是速度赤字减少或WF功率增加6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Wind Turbines Power Coefficient On Wind Farm Based Centralized Control
Wind Farm (WF) is a group of wind turbines at the same location to generate electricity simultaneously. Wake effect (WE) is one of the main factors in designing WF optimally. The effects of WE can be known from the decrease in speed in some turbines that occur as a result of interaction between turbines on WF. This issue may cause a decrease in output power on the WF. To solve the problem, power coefficient (Cp) control is carried out on all turbines in the WF. This proposed research designed Centralized Control to detect cp per turbine, modify Cp values, and obtain optimal Cp values on each turbine that could increase velocity deficit or increase WF output power. Data communication to and from the controller can be done with dcs (Distributed Control System). The processing of Cp data on the controller uses the firefly algorithm, which is limited by the number of iterations and the error value for its convergence. After simulating the implementation of Cp optimization values, the result is a decrease in velocity deficit or a 6% increase in WF power.
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