Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox 2e

Sauer, Peter W.; Pai, M.A.; Chow, Joe H.

doi:10.1002/9781119355755

Cited by 383 publications

(418 citation statements)

References 0 publications

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“…Bu çalışmada, empedans diyagramları ile birlikte Şekil 4'te verilen 3-makinalı 9-baralı güç sistemi [23,34] Üç algoritma ile özdeğer tabanlı amaç fonksiyonu minimum hale getirilerek sonlandırılan optimizasyon süreci için geçen süreler Tablo 4'te verilmiştir. Tablodan görüleceği gibi 3-makinalı 9-baralı güç sistemi için HPA algoritması kullanılarak bulunan hesaplama zamanı, diğer iki algoritma ile bulunan hesaplama zamanına göre daha az çıkmaktadır.…”

Section: Test Sistemi Ve Optimum Pss Yeri (Test System and Optimum Psunclassified

HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı

Ekinci¹,

Hekimoğlu²

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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This paper describes a novel hybrid approach based on particle swarm optimization (PSO) and artificial bee colony algorithm (ABC) called HPA technique that has powerful capabilities to discover the optimistic results for optimal design of power system stabilizer (PSS) in a multi-machine power system. For achieving optimal tuning of PSS parameters, the problem of selecting PSS parameters is converted to a simple optimization problem with an eigenvalue-based objective function and is solved by using the HPA technique. The effectiveness of the proposed HPA based-PSS design is verified through eigenvalue analysis, time domain simulations and some performance indices on a 3-machine 9-bus power system under different disturbances. The results of these studies show that the HPA algorithm is an alternative and more effective optimizer for tuning of PSS parameters and enhance greatly the dynamic stability of the power system compared with PSO and ABC. Also, the potential and superiority of the HPA algorithm over PSO and ABC in terms of computational time, convergence rate and solution quality is proved.

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Section: Test Sistemi Ve Optimum Pss Yeri (Test System and Optimum Psunclassified

HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı

Ekinci¹,

Hekimoğlu²

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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“…Study of electromechanical transients in power systems involves the formulation and solution of a set of Differential Algebraic Equations (DAEs) [13], [14]. Commercial software that are used for studying electromechanical transients, such as GE-PSLF ® and PTI-PSS/E ® , assume the network to be balanced.…”

Section: Concepts and Algorithm Behind Tpdamentioning

confidence: 99%

“…Commercial software that are used for studying electromechanical transients, such as GE-PSLF ® and PTI-PSS/E ® , assume the network to be balanced. Under this assumption the solution of DAEs is simplified because Park's transformation enables direct conversion from 0 frame voltages and currents in the time domain to corresponding phasors in the frequency domain [13]. The DAEs formed using unbalanced three phase network models, however, do not offer such simplification because six unknown quantities (phasor magnitudes and angles of the three phases) at an instant need to be estimated in the reference frame from three instantaneous 0 reference frame quantities.…”

Section: Concepts and Algorithm Behind Tpdamentioning

confidence: 99%

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Three-Phase Dynamic Simulation of Power Systems Using Combined Transmission and Distribution System Models

Jain

Parchure

Broadwater

et al. 2016

IEEE Trans. Power Syst.

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Abstract--This paper presents a new method for studying electromechanical transients in power systems using three phase, combined transmission and distribution models (hybrid models). The methodology models individual phases of an electric network and associated unbalance in load and generation. Therefore, the impacts of load unbalance, single phase distributed generation and line impedance unbalance on electromechanical transients can be studied without using electromagnetic transient simulation (EMTP) programs. The implementation of this methodology in software is called the Three Phase Dynamics Analyzer (TPDA). Case studies included in the paper demonstrate the accuracy of TPDA and its ability to simulate electromechanical transients in hybrid models. TPDA has the potential for providing electric utilities and power system planners with more accurate assessment of system stability than traditional dynamic simulation software that assume balanced network topology.

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“…All related data to this test system is available in [22], [23]. The total load for base case is 315 MW and 115 Mvar, bus 1 was considered as a reference bus.…”

Section: P M Anders On 9-bus Test Systemmentioning

confidence: 99%

Probabilistic Power Flow Model to Study Uncertainty in Power System Network Based Upon Point Estimation Method

Li¹

2017

EPES

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Abstract:In this paper, point estimation approach is used to calculate the statistical moment of a random quantity that is a function of m input random variables. In this work, loads of the proposed network is considered as a random variable. Two special cases of point estimation approach are considered such as 2m and 2m+1 concentration schemes. In 2m concentration scheme, skewness is considered, but in 2m+1 concentration scheme, both skewness and kurtosis are taken into account for probability density function. The proposed model is investigated using P. M. Anderson 9-bus test system. As a result, by changing the value of a random variable that follows a predefined distribution, expected bus voltage magnitude and expected line loading are identified. For the comparison purpose, 2m and 2m+1 scheme was compared with deterministic load flow analysis.

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Power System Dynamics and Stability: With Synchrophasor Measurement and Power System Toolbox 2e

Cited by 383 publications

References 0 publications

HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı

HPA algoritması ile çok makinalı güç sistemi kararlı kılıcısı tasarımı

Three-Phase Dynamic Simulation of Power Systems Using Combined Transmission and Distribution System Models

Probabilistic Power Flow Model to Study Uncertainty in Power System Network Based Upon Point Estimation Method

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