一种新型混合AGWO-PSO算法在STATCOM抑制电网振荡中的应用

IF 1.1 Q2 MATHEMATICS, APPLIED
R. Devarapalli, B. Bhattacharyya
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引用次数: 7

摘要

在增强电网区域间/区域内系统振荡的阻尼行为方面,柔性交流传输(FACTS)控制器对现有电网的同化优于众多替代方案。本文对电网中振荡的阻尼进行了严格的分析。它利用并联电压源变换器(VSC)为基础的FACTS器件来提高系统的工作特性。建立了一个全面的系统数学模型,以展示系统在不同载荷条件下的性能。针对控制器静态同步补偿器(STATCOM)和电力系统稳定器(pss)的协调设计问题,提出了一种新的混合增强灰狼优化-粒子群优化(AGWO-PSO)方法。为了实现这一目标,提出了一个包含阻尼比改善和实部漂移到系统极点s面左侧的多目标函数,并通过监测不同负载条件下的系统性能来分析所提出算法的有效性。给出了所提算法在不同载荷条件下系统状态在扰动下的特征值分析和阻尼特性,并从算法的执行时间和收敛特性两方面对所提算法进行了性能评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM
The assimilation of flexible AC transmission (FACTS) controllers to the existing power network outweigh the numerous alternatives in enhancing the damping behavior for the inter-area /intra-area system oscillations of a power network. This paper provides a rigorous analysis in damping of oscillations in a power network. It utilizes a shunt connected voltage source converter (VSC) based FACTS device to enhance the system operating characteristics. A comprehensive system mathematical modelling has been developed for demonstrating the system behavior under different loading conditions. A novel hybrid augmented grey wolf optimization-particle swarm optimization (AGWO-PSO) is proposed for the coordinated design of controllers static synchronous compensator (STATCOM) and power system stabilizers (PSSs). A multi-objective function, comprising damping ratio improvement and drifting the real part to the left-hand side of S-plane of the system poles, has been developed to achieve the objective and the effectiveness of the proposed algorithms have been analyzed by monitoring the system performance under different loading conditions. Eigenvalue analysis and damping nature of the system states under perturbation have been presented for the proposed algorithms under different loading conditions, and the performance evaluation of the proposed algorithms have been done by means of time of execution and the convergence characteristics.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
62
期刊介绍: Numerical Algebra, Control and Optimization (NACO) aims at publishing original papers on any non-trivial interplay between control and optimization, and numerical techniques for their underlying linear and nonlinear algebraic systems. Topics of interest to NACO include the following: original research in theory, algorithms and applications of optimization; numerical methods for linear and nonlinear algebraic systems arising in modelling, control and optimisation; and original theoretical and applied research and development in the control of systems including all facets of control theory and its applications. In the application areas, special interests are on artificial intelligence and data sciences. The journal also welcomes expository submissions on subjects of current relevance to readers of the journal. The publication of papers in NACO is free of charge.
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