Multi-criteria optimization of the parameters of PSS3B system stabilizers operating in an extended power system with the use of a genetic algorithm

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Archives of Control Sciences Pub Date : 2023-07-20 DOI:10.24425/acs.2022.141711
A. Nocoń, P. Pruski
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Abstract

In the paper, the application of multi-criteria optimization of the parameters of PSS3B system stabilizers to damping electromechanical swings in an extended power system (PS) is presented. The calculations of the power system stabilizer (PSS) parameters were divided into two stages. In the first stage, single-machine systems, generating unit – infinite bus, of generating units critical for the angular stability of the PS were analyzed. Time constants and preliminary values of the PSS gains were calculated. In the second stage, the main one, the main gains on which the effectiveness of operation of PSSs depends the most were calculated by multi-criteria optimization of the extended PS. The calculations were carried out in several variants: for two-dimensional objective functions and the six-dimensional objective function. In multi-criteria optimization, the solution is not one set of PSS parameters, but a set of sets of these parameters, i.e. a set of compromises that were determined for each analyzed case. Additionally, for the six-dimensional compromise set, projections of this set on the planes connected withthe quantitiesof individual generatingunits and theboundary ofthese projections on these planes were determined. A genetic algorithm adapted to multi-criteria issues was used to minimize the multivariate objective function. Sample calculations were made for the model of the National (Polish) Power System taking into account 57 selected generating units operating in high and extra high voltage networks (220 and 400 kV). The presented calculations show that the applied multi-criteria optimization of the PSS3B stabilizer parameters allows effectively damping electromechanical swings without worsening the voltage waveforms of generating units in the extended PS.
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基于遗传算法的扩展电力系统PSS3B系统稳定器参数多准则优化
本文提出了PSS3B系统稳定器参数多准则优化方法在扩展电力系统机电摆振阻尼中的应用。电力系统稳定器参数的计算分为两个阶段。第一阶段分析了影响系统角稳定性的单机系统、发电机组-无限母线机组;计算了PSS增益的时间常数和初始值。第二阶段是主要阶段,通过对扩展后的PS进行多准则优化,计算出最依赖于pss运行有效性的主要增益。计算分二维目标函数和六维目标函数进行。在多准则优化中,解决方案不是一组PSS参数,而是这些参数的一组集合,即为每个分析案例确定的一组折衷方案。此外,对于六维妥协集,确定了该集合在与单个发电单元数量相连的平面上的投影以及这些平面上的投影边界。采用适应多准则问题的遗传算法对多变量目标函数进行最小化。对国家(波兰)电力系统模型进行了抽样计算,考虑了57台在高压和超高压网络(220和400千伏)中运行的发电机组。计算结果表明,采用多准则优化的PSS3B稳定器参数可以有效地抑制机电振荡,而不会恶化扩展PS中发电机组的电压波形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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