Analysis of Marmara Region Electrical Power System Stability under the Critical Fault Conditions

Instability phenomena such as bus voltage fluctuations are occurred in serial MPPT(Maximum Power Point Tracking) electrical power system. To study the system stability, the system equivalent circuit models were built based on a serial MPPT unregulated bus electrical power system topology for space application. The small-signal equivalent analysis method and solving eigenvalues of state space equations method were adopted to perform stability analysis in two-domain control modes separately, from which the key conclusions were obtained.

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Modelling of TCSC Controller for Transient Stability Enhancement

International Journal of Emerging Electric Power Systems ◽

10.2202/1553-779x.1288 ◽

2006 ◽

Vol 7 (1) ◽

Cited By ~ 7

Author(s):

Ramnarayan Patel ◽

Vasundhara Mahajan ◽

Vinay Pant

Keyword(s):

Power System ◽

Power Flow ◽

Transient Stability ◽

Electrical Power ◽

Fast Response ◽

Transmission System ◽

System Stability ◽

Electrical Power System ◽

Facts Controllers ◽

Ac Transmission

Power engineers are currently facing challenges to increase the power transfer capabilities of existing transmission system. Flexible AC Transmission system (FACTS) controllers can balance the power flow and thereby use the existing power system network most efficiently. Because of their fast response, FACTS controllers can also improve the stability of an electrical power system by helping critically disturbed generators to give away the excess energy gained through the acceleration during fault. Thyristor controlled series compensator (TCSC) is an important device in FACTS family, and is widely recognized as an effective and economical means to solve the power system stability problem. TCSC is used as series compensator in transmission system. In the present work a TCSC controller is designed and tested over a single machine infinite bus (SMIB) as well as a multi-machine power system. Detailed simulation studies are carried out with MATLAB/SIMULINK environment and the effect of the TCSC parameter variations over the system stability is studied.

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Improvement of Dynamic Electrical Power System Stability Using Riccati Matrix Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.793.29 ◽

2015 ◽

Vol 793 ◽

pp. 29-33 ◽

Cited By ~ 2

Author(s):

M. Irwanto ◽

Norfadilah ◽

N. Gomesh ◽

M. Irwan ◽

M.R. Mamat

Keyword(s):

Power System ◽

Matrix Method ◽

Low Frequency ◽

Power System Stability ◽

System Stability ◽

Electrical Power System ◽

Successful Operation ◽

Power Utility ◽

Low Frequency Oscillations ◽

Riccati Matrix

Power system stability means the ability to develop restoring forces equal to or greater than the disturbing forces to maintain the state of equilibrium. Successful operation of a power system depends largely on providing reliable and uninterrupted service to the loads by the power utility. The stability of the power system is concerned with the behavior of the synchronous machines after they have been disturbed. If the disturbance does not involve any net change in power, the machines should return to their original state. Due to small disturbances, power system experience these poorly damped low frequency oscillations. The dynamic stability of power systems are also affected by these low frequency oscillations. This paper presents to analyze and obtain the optimum gain for damping oscillation in SMIB by using Riccati matrix method to improve dynamic power system stability. The result shows that with suitable gain which is act as a stabilizer that taken from Riccati matrix, the oscillations of rotor speed and rotor angle can be well damped and hence the system stability is enhanced.

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Design of Fuzzy TS-PDC Controller for Electrical Power System via Rules Reduction Approach

Symmetry ◽

10.3390/sym12122068 ◽

2020 ◽

Vol 12 (12) ◽

pp. 2068

Author(s):

Badr Alshammari ◽

Rim Ben Salah ◽

Omar Kahouli ◽

Lioua Kolsi

Keyword(s):

Fuzzy Logic ◽

Power Systems ◽

Power System ◽

Fuzzy Logic Controller ◽

Electrical Power ◽

Linearization Method ◽

System Stability ◽

Linear Matrix ◽

Electrical Power System ◽

Takagi Sugeno

In this paper, a new Takagi–Sugeno Fuzzy Logic controller (TS-FLC) is presented and applied for modeling and controlling the nonlinear power systems even in the presence of disturbances. Firstly, a nonlinear mathematical model for the electrical power system is presented with consideration of PSS and AVR controller. Then, a Takagi–Sugeno Fuzzy Logic controller is employed to control power system stability. Nevertheless, the study of the stability of Takagi–Sugeno fuzzy models will be difficult in the case where the number of nonlinearities is important. To cope with this problem, this study proposed a methodology to reduce the number of rules and to guarantee the global stability of the power system. The new model included only two rules. All the other nonlinearities were considered as uncertainties. In addition, a Parallel Distributed Compensation controller is designed using the Linear Matrix Inequalities constraints in order to guarantee system stability. Finally, this approach is applied on a Single Machine Infinite Bus affected by fault perturbation. To show the novelty of Takagi Sugeno’s method, we compared our approach to the Taylor linearization method. The numerical simulations prove the feasibility and performance of the proposed method.

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Interline power flow controller (IPFC) characterization in power systems

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.14894 ◽

2018 ◽

Vol 7 (3) ◽

pp. 1656 ◽

Cited By ~ 2

Author(s):

Nabil A. Hussein ◽

Ayamn A. Eisa ◽

Hassan M. Mahmoud ◽

Safy A. Shehata ◽

El-Saeed A. Othman

Keyword(s):

Power Systems ◽

Power System ◽

Transmission Lines ◽

Power Flow ◽

Electrical Power ◽

System Stability ◽

Electrical Power System ◽

Flow Controller ◽

Ac Transmission ◽

Power Flow Controller

Flexible AC Transmission Systems (FACTS) have been proposed in the late 1980s to meet and provide the electrical power system requirements. FACTS are used to control the power flow and to improve the power system stability. Interline power flow controller (IPFC) is a versatile device in the FACTS family of controllers and one of its latest generations which has the ability to simultaneously control the power flow in two or multiple transmission lines. This paper is tackling the IPFC performance in power systems; it aims to discuss the availability to define a known scenario for the IPFC performance in different systems. An introduction supported with brief review on IPFC, IPFC principle of operation and IPFC mathematical model are also introduced. IEEE 14-bus and 30-bus systems have chosen as a test power systems to support the behavior study of power system equipped with IPFC device. Three different locations have chosen to give variety of system configurations to give effective performance analysis.

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Dynamic stability improvement with integrated power plant scheduling method based on moment of inertia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/926/1/012030 ◽

2021 ◽

Vol 926 (1) ◽

pp. 012030

Author(s):

Fitriani ◽

I C Gunadin ◽

A Suyuti ◽

A Siswanto

Keyword(s):

Power System ◽

Dynamic Stability ◽

Fault Location ◽

System Analysis ◽

Electrical Power ◽

Stability Study ◽

Electric Power System ◽

System Stability ◽

Electrical Power System ◽

Clearing Time

Abstract Dynamic stability is one of the important aspects of maintaining the stability of an electrical power system as a whole. Dynamic stability study is the ability of the electric power system to return to the equilibrium point after a relatively small disturbance suddenly occurs for a long time. In this paper, we offer a method of rescheduling the generator to improve system stability by looking at the critical clearing time (CCT). Changes in the CCT value are due to changes in the load on each bus. The modelling of the IEEE 14 bus system is carried out with the help of the Simulink Power System Analysis Toolbox (PSAT) 2.1.10, which is integrated with the MATLAB R. 2016a program. The simulation results show that the CCT value decreases as the fault location gets closer to the main generator.

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