基于改进NSGA-II算法的次同步附加阻尼控制器的优化设计
Optimization Design of Sub-Synchronous Additional Damping Controller Based on Improved NSGA-II Algorithm
针对直驱永磁同步风电机组中出现的次同步振荡问题, 建立引入次同步阻尼控制器(sub-synchronous oscillation damping controller, SSDC)后的直驱风电机组完整数学模型, 在此基础上, 以振荡模态特征值 实部和阻尼比为目标函数建立了SSDC参数多目标优化模型. 针对改进非支配解排序遗传算法(improved nondominated sorting genetic algorithm, NSGA-II)在参数优化时种群多样性较差的问题, 对其选择策略进行了改进, 然后将改进后的NSGA-II算法引入到SSDC参数优化设计中, 利用空间评价方法对解集进行评价, 结果表明采用改进算法所获得的Pareto最优解分布更加均匀. 最后通过特征值分析和仿 真验证, 进一步证实了文章所优化设计得到的SSDC对发生在直驱风电机组的次同步振荡抑制具有显著效果.
Aiming at the sub-synchronous oscillation in the direct-drive permanent magnet synchronous wind turbine generator, a complete mathematical model of direct-drive wind turbine with introducing the sub-synchronous oscillation damping controller (SSDC) is established. Based on it, a multi-objective optimization model of SSDC parameters is established, which takes both real part of oscillation mode eigenvalue and damping ratio as objective functions. In order to solve the problem of poor population diversity in the process of parameters optimization of improved nondominated sorting genetic algorithm (NSGA-II), selection strategy of NSGA-II algorithm is perfected, and the improved NSGA-II algorithm is introduced into the design of SSDC parameters optimization, thus evaluating solution set by space evaluation method, the results show that Pareto optimal distribution obtained by the improved algorithm is more uniform. Finally, through eigenvalue analysis and simulation verification, it confirms that the SSDC optimized in this paper is of great significance to inhibit SSO in the direct-drive wind turbine.
直驱永磁同步风电机组 / 次同步振荡 / 次同步阻尼控制器 / / NSGA-II算法. {{custom_keyword}} /
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