基于同步相量的辅助控制器在高渗透可再生能源场景下提高电力系统暂态电压稳定性

Huaiguang Jiang, Y. Zhang, J. Zhang, E. Muljadi, D. Gao
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引用次数: 13

摘要

本文提出了一种以暂态电压稳定为中心的辅助协调控制方法。该概念是基于支持向量机(SVM)分类器和多输入多输出(MIMO)模型预测控制(MPC)在高渗透可再生能源系统中的应用。为了实现这一目标,首先利用电力系统中实测的同步相量数据,利用支持向量机分类器对电力系统的电压稳定状况进行预测。然后,根据预测结果触发控制策略。所设计的辅助MPC策略将增加现有的控制变量,以保持暂态电压稳定。为验证所提方法的有效性,以带风电场的昆都尔两区电力系统为例进行了数值仿真,结果表明了所提方法的可行性、有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synchrophasor based auxiliary controller to enhance power system transient voltage stability in a high penetration renewable energy scenario
An auxiliary coordinated control approach focusing on transient voltage stability is proposed in this paper. The concept is based on support vector machine (SVM) classifier and multiple-input and multiple-output (MIMO) model predictive control (MPC) on the high penetration renewable power system. To achieve the objective, the voltage stability condition of the power system is predicted by the SVM classifier first, using measured synchrophasor data in the power system. Next, the control strategy is triggered by the prediction results. The designed auxiliary MPC strategy will augment the existing control variables aiming to keep transient voltage stability. To validate the proposed approach, the Kundur two-area power system with a wind plant is built and the numerical results demonstrate the feasibility, effectiveness and accuracy of the proposed method.
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