A PSO-MMA Method for the Parameters Estimation of Interarea Oscillations in Electrical Grids

被引：20

作者：

Bonavolonta, Francesco ^{[1
]}

Di Noia, Luigi Pio ^{[1
]}

Liccardo, Annalisa ^{[1
]}

Tessitore, Salvatore ^{[1
]}

Lauria, Davide ^{[2
]}

机构：

[1] Univ Napoli Federico II, Dipartimento Ingn Elettr & Tecnol Informaz, I-80125 Naples, Italy

[2] Univ Napoli Federico II, Dipartimento Ingn Ind, I-80125 Naples, Italy

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2020年 / 69卷 / 11期

关键词：

Oscillators; Power system stability; Damping; Stability criteria; Frequency estimation; Interarea oscillations; low-frequency oscillations (LFO); online damping estimation; particle swarm optimization (PSO); power system stability; POWER; TRACKING; SYSTEMS;

D O I：

10.1109/TIM.2020.2998909

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article deals with the parameters' measurement of interarea oscillations, which are low-frequency damped oscillations that affect the high-voltage transmission lines when an unbalance between the power demand and the generated power occurs. The authors propose a method that processes the samples provided by the phasor measurement unit (PMU) and performs the online estimation of the parameters that characterize the interarea oscillations. The method takes advantage of the speed of a heuristic algorithm, such as the particle swarm optimization (PSO), but performs an enhancement on the results to increase the reliability. The tests carried out for the method assessment prove that the proposed method is characterized by a fast response, high accuracy, and excellent reliability, regardless of the type of oscillation that is considered.

引用

页码：8853 / 8865

页数：13

共 44 条

[1] Optimal design of power-system stabilizers using particle swarm optimization [J].

Abido, MA .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2002, 17 (03) :406-413

[2]

[Anonymous], IEEE POW ENG SOC GEN

[3]

[Anonymous], 2011, IEEE Standard C37.118.1a- 2014 (Amendment to IEEE Standard C37.118.1-2011), P1, DOI [DOI 10.1109/IEEESTD.2011.6111219, 10.1109/IEEESTD.2011.6111219]

[4]

[Anonymous], 1994, POWER SYSTEM STABILI

[5]

[Anonymous], 2010, Good Parameters for Particle Swarm Optimization

[6] The Huang Hilbert Transform for evaluating the instantaneous frequency evolution of transient signals in non-linear systems [J].

Baccigalupi, Aldo ;

Liccardo, Annalisa .

MEASUREMENT, 2016, 86 :1-13

[7] An Optimized HT-Based Method for the Analysis of Inter-Area Oscillations on Electrical Systems [J].

Bonavolonta, Francesco ;

Di Noia, Luigi Pio ;

Lauria, Davide ;

Liccardo, Annalisa ;

Tessitore, Salvatore .

ENERGIES, 2019, 12 (15)

[8] The matrix pencil for power system modal extraction [J].

Crow, ML ;

Singh, A .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (01) :501-502

[9] A PSO-Lyapunov Hybrid Stable Adaptive Fuzzy Tracking Control Approach for Vision-Based Robot Navigation [J].

Das Sharma, Kaushik ;

Chatterjee, Amitava ;

Rakshit, Anjan .

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (07) :1908-1914

[10] Estimating Electromechanical Modes and Mode Shapes Using the Multichannel ARMAX Model [J].

Dosiek, Luke ;

Pierre, John W. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (02) :1950-1959

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