Improvement of Voltage Profile through the Optimal Placement of FACTS Using L-Index Method

Reddy, K. Venkata Ramana; Lalitha, M. Padma; Chennaiah, P. B.

doi:10.11591/ijece.v4i2.5136

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…There are many voltage indexes, some are based on power flow Jacobian matrix but they require large time due to the high computational requirements. Other indexes use the elements of the admittance matrix [20][21] and some system variables such as bus voltages and power flow through lines such Lmn [22], LQP [23], and FVSI [24], the calculation of these indexes require less computational effort and are adequate for a fast diagnosing of the voltage stability. As we are looking for the optimal location of SVC to ensure stability of the network these indexes will be suitable for our case.…”

Section: Voltage Stability Indexesmentioning

confidence: 99%

Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes

Dazahra¹,

Elmariami²,

Belfqih³

et al. 2016

IJECE

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<p>Flexible AC transmission system are widley used in power sytems to ensure voltage stability, in virtue of their high cost the choise of the best location in electrical network is essential. The porpose of this paper is to present a new method for finding the optimal location, size and number of Static Var Compensator in order to enhace the voltage stability of electrical network. The optimal solution has been found by using the evolutionary programming algorithm, particle swarm optimization, combined with voltage stability indexes used for the estimation of the voltage collapse in power systems.The proposed algorithm has been validated by application on both simulation network model IEEE 30-Buses under different load cases and the electric network model of Casablanca region in Morocco.The results of the application have been analysed and compared in each case in order to get the optimal number of Static Var Compensator to be used.</p>

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Section: Voltage Stability Indexesmentioning

confidence: 99%

Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes

Dazahra¹,

Elmariami²,

Belfqih³

et al. 2016

IJECE

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“…By simulation results shows the SVC can improve and maintain the voltage collapse, current and reactive power in the transmission line. In [8] proposed Newton-Raphson method to optimal placement of FACTS based on l-Index technique. In [9] presented a new method to finding the optimal location, size and number of Static Var Compensator in order to enhace the voltage stability of electrical network.…”

Section: Introductionmentioning

confidence: 99%

A Voltage Improvement of Transmission System using Static Var Compensator via Matlab/Simulink

Jumaat

Musirin

Baharun

2017

IJEECS

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<p class="IJASEITAbtract">High demand in electricity consumption is rising and modern society would case to function without access to electricity. The volume of power transmitted and distributed are increasing, these need the requirements for high quality and reliable supply. At the same time, rising the costs and the growing environmental concerns make the process of develop a new power transmission line make complicated and the time consuming. One of alternatives to solve the issues is installed the Flexible AC Transmission System (FACTS). This research presents to modeling and simulation of Static Var Compensator (SVC) in the power system network using Matlab/Simulink Software. The objective function of this research is improvement the voltage of the system with four cases study for validation. From the simulation results shown that the SVC installation gives the effect to voltage of system.</p>

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ANN-Based Relaying Algorithm for Protection of SVC- Compensated AC Transmission Line and Criticality Analysis of a Digital Relay

Fayaz

Gobind

2020

RACSC

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Background: The Static VAR Compensator (SVC) has the capability of improving reliability, operation and control of the transmission system thereby improving the dynamic performance of power system. SVC is a widely used shunt FACTS device, which is an important tool for the reactive power compensation in high voltage AC transmission systems. The transmission lines compensated with the SVC may experience faults and hence need a protection system against the damage caused by these faults as well as provide the uninterrupted supply of power. Methods: The research work reported in the paper is a successful attempt to reduce the time to detect faults on a SVC-compensated transmission line to less than quarter of a cycle. The relay algorithm involves two ANNs, one for detection and the other for classification of faults, including the identification of the faulted phase/phases. RMS (Root Mean Square) values of line voltages and ratios of sequence components of line currents are used as inputs to the ANNs. Extensive training and testing of the two ANNs have been carried out using the data generated by simulating an SVC-compensated transmission line in PSCAD at a signal sampling frequency of 1 kHz. Back-propagation method has been used for the training and testing. Also the criticality analysis of the existing relay and the modified relay has been done using three fault tree importance measures i.e., Fussell-Vesely (FV) Importance, Risk Achievement Worth (RAW) and Risk Reduction Worth (RRW). Results: It is found that the relay detects any type of fault occurring anywhere on the line with 100% accuracy within a short time of 4 ms. It also classifies the type of the fault and indicates the faulted phase or phases, as the case may be, with 100% accuracy within 15 ms, that is well before a circuit breaker can clear the fault. As demonstrated, fault detection and classification by the use of ANNs is reliable and accurate when a large data set is available for training. The results from the criticality analysis show that the criticality ranking varies in both the designs (existing relay and the existing modified relay) and the ranking of the improved measurement system in the modified relay changes from 2 to 4. Conclusion: A relaying algorithm is proposed for the protection of transmission line compensated with Static Var Compensator (SVC) and criticality ranking of different failure modes of a digital relay is carried out. The proposed scheme has significant advantages over more traditional relaying algorithms. It is suitable for high resistance faults and is not affected by the inception angle nor by the location of fault.

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Improvement of Voltage Profile through the Optimal Placement of FACTS Using L-Index Method

Cited by 3 publications

References 1 publication

Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes

Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes

A Voltage Improvement of Transmission System using Static Var Compensator via Matlab/Simulink

ANN-Based Relaying Algorithm for Protection of SVC- Compensated AC Transmission Line and Criticality Analysis of a Digital Relay

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