利用风电机组惯性进行电网频率控制:一种模型预测控制方法

N. Deelen, A. Jokić, P. V. D. Bosch, R. M. Hermans
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引用次数: 10

摘要

在不久的将来,随着风电机组普及率的提高,风电机组参与电网频率控制将是必要的。本文利用模型预测控制(MPC)对风力发电机组的惯性特性进行了研究。通过这种方式,风力涡轮机可以积极地为初级控制做出贡献。安全操作是可能的,因为MPC明确地考虑了安全约束。在一个实例研究中,利用风力发电机组的惯性响应来平衡电网的非线性模型。我们考虑了集中式MPC和分散式MPC的实施,并证明了它们在抵消由不可预测的外部干扰或市场重新调度过程中的不平衡瞬态引入的发电和需求偏差方面的效率。所获得的结果表明,风力涡轮机惯性利用的潜力有助于平衡未来电网的挑战性任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting inertia of wind turbines in power network frequency control: A model predictive control approach
With the expected increase in penetration level of wind turbine generators in the near future, it will be necessary for them to participate in power network frequency control. In this paper we exploit the inertia of wind turbine generators using model predictive control (MPC). In this way wind turbines can actively contribute to primary control. Safe operation is possible because MPC explicitly takes safety constraints into account. In a case study a nonlinear model of a power network is balanced by exploiting the inertial response of wind turbine generators. We have considered both centralized MPC and a decentralized MPC implementation, and have shown their efficiency in counteracting deviations in generation and demand introduced either by unpredictable exogenous disturbances, or by imbalanced transients during market rescheduling processes. The obtained results demonstrate the potential of wind turbine inertia exploitation in contributing to the challenging task of balancing future power networks.
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