基于半物理模拟的海上风电场能量收集与分配设计与优化

E. Solomin, Ting Hou, Xiaotong Ma, Yiran Sun
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引用次数: 0

摘要

本文研究了风力机半物理仿真训练系统的软件系统,以及考虑长期疲劳载荷的海上风力机偏航和功率分配优化问题。该半物理仿真平台基于双馈风力发电机。半物理术语是指在仿真系统中需要使用实际的物理对象或控制器。偏航过程是最易受载荷影响的模式之一。由于偏航误差对强度载荷的影响很大,因此对其力学、电气和疲劳性能的研究非常重要。为了降低维护频率,提出了一种平衡风机疲劳差异的优化功率分配,并采用多智能体系统(MAS)中的一致性算法,以风机的疲劳值作为一致性变量来解决不同疲劳值的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Optimization of Power Harvesting and Distribution for Offshore Wind Farms Using Semi-Physical Simulation
In this paper we have studied the software system of the semi-physical simulation training system for wind turbines, along with the optimizing of yawing and power distribution for offshore wind turbines considering long-term fatigue loading. The semi-physical simulation platform is based on doubly-fed wind turbines. The semi-physics terms refers to the need for usage of actual physical objects or controllers in the simulation system. One of the most vulnerable modes for the load affecting is yawing process. Since the yawing errors may strongly affect the strength loading, the study of mechanical and electrical, as well as fatigue properties, is very important. To reduce maintenance frequency, we proposed an optimized power distribution for balancing fatigue differences between wind turbines, and adopted the consistency algorithm in the multi-agent system (MAS), using the fatigue value of the wind turbine as the consistency variable to solve the problems with different fatigue values.
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