Effect of TCSC on Line Voltage Stability Indices under Single Line Outage Condition

Mathew, Merlyn; D, Suresh Babu; P.S., Venkataramu; M.S., Nagaraj

doi:10.17148/ijireeice.2015.3822

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…A number of tools termed voltage stability indices are available for determining whether a system voltage is stable, and if not stable the extent to which the system is to instability. The indices reveal the critical bus of a PSN and also the stability status of each of the power lines connected in between two buses in an interconnected PSN [13,14].…”

Section: Voltage Stability Indicesmentioning

confidence: 99%

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Power system voltage collapse prediction using a new line stability index (NLSI-1): A case study of the 330-kV nigerian national grid

Samuel¹,

Katende²,

Awosope³

et al. 2019

IJECE

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The cumulative number of historical and recent power system outages substantiates the fact that further studies are necessary for an improved solution to the issue of voltage instability on the grid and the subsequent system collapse. Voltage collapse is a serious reliability issue which inhibits the objective of running a reliable and secure power system network. In this study, a new line stability index (NLSI_1) for predicting voltage collapse is presented. The new index considers a switching logic which is derived from the difference of voltage angle between the two load buses. The index is deployed for performance analysis using the 28-bus, 330-kV Nigeria National Grid (NNG). The simulation implemented in MATLAB shows that the index gives the same results as Line stability index (Lmn) and Fast Voltage Stability Index (FVSI) indices. The base case and the contingency scenarios were considered during the simulation. The base case analysis using the NNG values of all the three indices FVSI, Lmn, and NLSI_1 for simulation generates a value less than one for the entire lines which implies that the NNG is stable in this mode. The values of the three indices are almost the same, which confirms the accuracy of the novel index developed. The analysis for the contingency case reveals that the load bus 16 (Gombe) which has the lowest, maximum permissible reactive load of 139.5MVAR is the weakest; also power line 16-19 is identified as the critical line. The result of the simulation confirms that the accuracy was improved by using NLSI_1.

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Section: Voltage Stability Indicesmentioning

confidence: 99%

“…The LVSI is based on the relationship existing between the bus voltage and the line"s real power [14]. In this model, a failure ensues when the line resistance of the power line reduces to a near zero value.…”

Section: Line Voltage Stability Index (Lvsi)mentioning

confidence: 99%

Power system voltage collapse prediction using a new line stability index (NLSI-1): A case study of the 330-kV nigerian national grid

Samuel¹,

Katende²,

Awosope³

et al. 2019

IJECE

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“…Sama seperti (16), arus saluran Iji diukur pada bus j dan difenisikan positif dengan arah j ke i sesuai persamaan 14:…”

Section: Gambar 2 Model Saluran Transmisi Untuk Menghitung Arus Saluranunclassified

“…Sji = Vj I * ji (16) Rugi-rugi daya dalam saluran i-j adalah penjumlahan aljabar dari aliran daya yang didapat dari (15) dan ( 16) yang menghasilkan persamaan 17:…”

Section: Gambar 2 Model Saluran Transmisi Untuk Menghitung Arus Saluranunclassified

Peningkatan Voltage Stability Dengan Pemasangan Pembangkitan Tersebar Pada Sistem Distribusi Area Yogyakarta Menggunakan Flower Pollination Algorithm

Sakti

Achmad

2022

Transmisi

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Penelitian ini membahas tentang penempatan dan kapasitas dari pembangkitan tersebar yang optimal di sistem kelistrikan area Yogyakarta untuk meningkatkan kestabilan tegangan menggunakan Flower Pollination Algorithm. Indeks kestabilan tegangan yang digunakan yaitu Fast Voltage Stability Index (FVSI). Indeks ini dikembangkan berdasarkan pengukuran tegangan dan daya reaktif. FVSI merupakan indeks saluran yang diturunkan dari persamaan umum arus yang mengalir pada saluran antara dua bus. Sistem kelistrikan area Yogyakarta terdiri dari 9 bus dan 8 saluran. Jenis pembangkit yang digunakan yaitu tipe yang hanya mampu menyuplai daya reaktif. Jumlah pembangkitan tersebar yang akan diteliti berjumlah dua buah dengan kapasitas maksimal 50 MVar. Flower Pollination Algorithm (FPA). FPA adalah teknik optimasi metaheuristik baru dan terinspirasi oleh strategi reproduksi dari proses penyerbukan tanaman berbunga. Hasil yang didapat dari penelitian ini yaitu, pemasangan DG yang optimal terletak di GI Gejayan (bus 3) sebesar 24.9095 MVAR dan GI Semanu (bus 8) sebesar 9.52361 MVAR. Iterasi dilakukan sebanyak 300 kali dengan hasil konvergen. Dari pemasangan DG tersebut mayoritas saluran mengalami peningkatan dari sisi kestabilan tegangan nya, hal tersebut ditandai dengan menurunnya nilai FVSI. Dari semua saluran, setelah dipasang DG maka sistem mengalami peningkatan kestabilan tegangan dengan rata-rata penurunan FVSI sebesar 22.15%

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“…The shortcomings, as mentioned earlier on, of some of these indicators, are overcome by voltage stability indices (VSIs) [22,23]. One of such indices is the NLSI_1 proposed in [20], whose value falls between zero and one.…”

Section: The New Line Stability Index (Nlsi_1)mentioning

confidence: 99%

Voltage collapse prediction using artificial neural network

Isaac

Adebola

Awelewa

et al. 2021

IJECE

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Unalleviated voltage instability frequently results in voltage collapse; which is a cause of concern in power system networks across the globe but particularly in developing countries. This study proposed an online voltage collapse prediction model through the application of a machine learning technique and a voltage stability index called the new line stability index (NLSI_1). The approach proposed is based on a multilayer feed-forward neural network whose inputs are the variables of the NLSI_1. The efficacy of the method was validated using the testing on the IEEE 14-bus system and the Nigeria 330-kV, 28-bus National Grid (NNG). The results of the simulations indicate that the proposed approach accurately predicted the voltage stability index with an R-value of 0.9975 with a mean square error (MSE) of 2.182415x10<sup>−5</sup> for the IEEE 14-bus system and an R-value of 0.9989 with an MSE of 1.2527x10<sup>−7</sup> for the NNG 28 bus system. The results presented in this paper agree with those found in the literature.

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Effect of TCSC on Line Voltage Stability Indices under Single Line Outage Condition

Cited by 4 publications

References 7 publications

Power system voltage collapse prediction using a new line stability index (NLSI-1): A case study of the 330-kV nigerian national grid

Power system voltage collapse prediction using a new line stability index (NLSI-1): A case study of the 330-kV nigerian national grid

Peningkatan Voltage Stability Dengan Pemasangan Pembangkitan Tersebar Pada Sistem Distribusi Area Yogyakarta Menggunakan Flower Pollination Algorithm

Voltage collapse prediction using artificial neural network

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