Model Reduction of Power System by Modified Balanced Truncation Method

S. Suman, Awadhesh Kumar
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引用次数: 3

Abstract

In this article, we are exploring and implementing the new model order reduction (MOR) method for Large-Scale Linear Dynamic System (LSLDS) to achieve reduced order. These technologies are designed to better understand and explain LSLDS based on the Modified Balanced Truncation Method (BTM). This refers to continuous/discrete LTI structures that are minimal / non-minimum. This reduced method allows MOR to preserve complete parameters with reasonable accuracy. The approach is based on the maintenance of dominant system modes and a relatively small state truncation. As the reduced-order model (ROM) is derived from the retention of dominant modes, the reduction remains stable. The main demerit of the balanced truncation method is that the ROM, stable states, does not match the original structures. By modified BTM to narrow the deviations in the ROM transfer function matrix, a gain factor is added to adjust the steady-state values of the reduction system without altering the dynamic behaviour of the system. The proposed method has been successfully applied to a real-time single area power system with ease of extension to a discrete-time case and the results obtained show the efficacy of the method. Application model and the results obtained indicate the effectiveness of the methodology. The time response of the system has been demonstrated by the proposed method, which proves to be excellent match, effectiveness and superiority compared to the response of other approaches in the literature review of the original system.
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基于修正平衡截断法的电力系统模型简化
在本文中,我们正在探索和实现大规模线性动态系统(LSLDS)的新模型降阶(MOR)方法,以实现降阶。这些技术旨在更好地理解和解释基于改进平衡截断法(BTM)的LSLDS。这指的是最小/非最小的连续/离散LTI结构。这种简化的方法允许MOR以合理的精度保留完整的参数。该方法基于对主导系统模式的维护和相对较小的状态截断。由于降阶模型(ROM)是由优势模的保留导出的,因此降阶保持稳定。平衡截断法的主要缺点是ROM处于稳定状态,与原始结构不匹配。通过改进的BTM来缩小ROM传递函数矩阵的偏差,在不改变系统动态行为的情况下,增加增益因子来调整还原系统的稳态值。该方法已成功地应用于实时单区电力系统,且易于推广到离散时间情况,结果表明了该方法的有效性。应用模型和计算结果表明了该方法的有效性。该方法对系统的时间响应进行了验证,在对原系统的文献综述中,与其他方法的响应相比,该方法具有良好的匹配性、有效性和优越性。
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