Impact of photovoltaic penetration on small signal stability considering uncertainties

Gurung, Samundra; Naetiladdanon, Sumate; Sangswang, Anawach

doi:10.1109/isgt-asia.2017.8378404

Cited by 7 publications

(13 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(83 MW). A power oscillation damping controller and power system stabilizer are occasionally used to improve small-signal stability for the test system considered in our work [15,20]. However, we have not used these controllers for our current study as we want this paper to focus exclusively on comprehensive quantification of the effect of uncertainties due to solar energy under different conditions on small-signal stability.…”

Section: Test Systemmentioning

confidence: 99%

“…This method is also widely used in PSSS [6][7][8][9][10][11]. More importantly, the effect of PV fluctuations on small-signal stability was studied in [10][11][12][13][14][15][16][17][18]. The authors in [10,11] did extensive research on analyzing the impact of stochastic PV output on PSSS and observed that it can lead to a decrease in stability margin.…”

Section: Introductionmentioning

confidence: 99%

“…The impact of PVG on probabilistic low-frequency oscillatory stability using decision trees on a large transmission network was studied in [14]. The researchers in [15] investigated the effect of PV on dynamic stability on the IEEE-68 bus system using the cumulant method and concluded that the system can be stochastically unstable even when it is deterministically stable. In [16], a new method based on stochastic response surface was used to investigate the effect of PV uncertainties on a large system.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequently, there is a high need to fill the research gaps described here, especially in the current era of rapid large-scale integration of PVG, and to analyze its effect on small-signal stability of a large system using a fast yet accurate technique. This work is an augmented version of [15], where the study of effect of correlation between solar farms, impact of different penetration levels for various correlation coefficients, and effects of solar forecast error is added. The theory of cumulants considering correlated random variables is also added in our current work, which can be found in Section 5.3.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Probabilistic small-signal stability analysis of power system with solar farm integration

Gurung¹,

Naetiladdanon²,

Sangswang³

2019

Turk J Elec Eng & Comp Sci

Self Cite

View full text Add to dashboard Cite

Currently, large-scale solar farms are being rapidly integrated in electrical grids all over the world. However, the photovoltaic (PV) output power is highly intermittent in nature and can also be correlated with other solar farms located at different places. Moreover, the increasing PV penetration also results in large solar forecast error and its impact on power system stability should be estimated. The effects of these quantities on small-signal stability are difficult to quantify using deterministic techniques but can be conveniently estimated using probabilistic methods. For this purpose, the authors have developed a method of probabilistic analysis based on combined cumulant and Gram– Charlier expansion technique. The output from the proposed method provides the probability density function and cumulative density function of the real part of the critical eigenvalue, from which information concerning the stability of low-frequency oscillatory dynamics can be inferred. The proposed method gives accurate results in less computation time compared to conventional techniques. The test system is a large modified IEEE 16-machine, 68-bus system, which is a benchmark system to study low-frequency oscillatory dynamics in power systems. The results show that the PV power fluctuation has the potential to cause oscillatory instability. Furthermore, the system is more prone to small-signal instability when the PV farms are correlated as well as when large PV forecast error exists.

show abstract

Section: Test Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Probabilistic small-signal stability analysis of power system with solar farm integration

Gurung¹,

Naetiladdanon²,

Sangswang³

2019

Turk J Elec Eng & Comp Sci

Self Cite

View full text Add to dashboard Cite

show abstract

“…This impact is more severe on large systems as it can lead to blackouts 25 . As for wind generation share, PV penetration leads the system to be stochastically unstable even it is stable under deterministic operating conditions 26,27 …”

Section: Introductionmentioning

confidence: 99%

Cooperative coevolutionary algorithms for optimalPSStuning based onMonte‐Carloprobabilistic small‐signal stability assessment

Chabane

Ladjici

Hellal

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary This article presents a robust and optimal PSS tuning with the Monte‐Carlo approach for probabilistic small‐signal stability analysis in electric power systems under uncertainties. The uncertainties are mainly related to renewable energy and include production and demand in power systems. Additionally, lines and transformers contingencies have also been added. Probabilistic models of these uncertainties are constructed considering their characteristics. Subsequently, probabilistic small‐signal stability assessment of the power system is carried out based on modal analysis via Monte‐Carlo simulation. The proposed method is tested by analyzing the eigenvalues of New England New York benchmark system, where stable, unstable, and oscillatory modes are first identified in the deterministic framework and extended to a probabilistic context as the deterministic one is limited for particular operating states. Additionally, local and inter‐area modes of electromechanical oscillation are classified, and PSS optimal placement and tuning are performed to ensure sufficient damping under uncertainties. Relevant discussion of stability enhancement using the proposed approach has been illustrated.

show abstract

Impacts of High Renewable Energy Penetration in Low Voltage Distribution Network: A Review

Rajesh,

Ouassaid

2024

IFAC-PapersOnLine

View full text Add to dashboard Cite

Impact of photovoltaic penetration on small signal stability considering uncertainties

Cited by 7 publications

References 13 publications

Probabilistic small-signal stability analysis of power system with solar farm integration

Probabilistic small-signal stability analysis of power system with solar farm integration

Cooperative coevolutionary algorithms for optimalPSStuning based onMonte‐Carloprobabilistic small‐signal stability assessment

Impacts of High Renewable Energy Penetration in Low Voltage Distribution Network: A Review

Contact Info

Product

Resources

About