Probabilistic tuning of Power System Stabilizers considering the wind farm generation uncertainty

Ahmadi, Hamed; Seifi, Hossein

doi:10.1016/j.ijepes.2014.06.036

Cited by 17 publications

(7 citation statements)

References 16 publications

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“…Therefore, the output power of PV and the load level are considered as the uncertain parameters and the probability density functions (PDFs) are used to model their uncertainties. Also, a scenario-based [43][44][45][46] procedure is used as the probability strategy.…”

Section: Validationmentioning

confidence: 99%

Dynamic stability analysis of a reduced order micro‐grid bymulti‐timescale theory

Ahmadi

Kazemi

2021

Int Trans Electr Energ Syst

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In the islanded micro-grids the power cannot be exchanged by the upstream network and the system inertia level is low. Therefore, the network sensitivity to disturbances and load changes is more than the connected mode. In such situation, the system states can behave with more degree of freedom and have less dependency to total system dynamic. The variety of equipment with different dynamics and the load level uncertainty leads to continuous changes in the islanded micro-grid operating point.These changes are more considerable in the islanded micro-grid due to lack of inertia and limited stability margins. Therefore, the determination of appropriate model order for system in such way that the reduced order model keeps the essential dynamic behavior and neglects the less effective modes, is critical. Therefore, in this paper a three-step method based on multi-time scale theory and singular perturbation method is proposed for optimum model order reduction in islanded micro-grid. The proposed method is applied to a typical micro-grid with different types of DGs and loads. The load level uncertainty is modeled by probability density function (PDF) and reduced order model of system is validated in different operating scenarios by sensitivity analysis, participation factor investigation and time domain simulation.

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Section: Validationmentioning

confidence: 99%

Dynamic stability analysis of a reduced order micro‐grid bymulti‐timescale theory

Ahmadi

Kazemi

2021

Int Trans Electr Energ Syst

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“…The conventional method to analyse the oscillatory stability is the modal analysis based on a deterministic approach. However, the main consideration of deterministic analysis is the incapability to capture random or stochastic behaviours due to uncertainties [4,5]. Since the RES varying continuously, the system operating point would be stochastically uncertain.…”

Section: Introductionmentioning

confidence: 99%

Copula-Monte Carlo Based Probabilistic Oscillatory Stability Analysis of Microgrid

Krismanto¹

2021

IJIES

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This paper investigates effects of wind speed and solar irradiance uncertainties on oscillatory stability of Microgrid (MG). Novel estimation technique based on Student's t-Copula is applied to estimate the probability distribution function (PDF) of wind speed and solar irradiance by taking into account the stochastic dependencies between those energy resources. A detailed MG system comprising of Wind Energy Conversion System (WECS), PV system and Diesel Engine (DE) based distributed generation (DG) units is considered to provide a complete dynamic response of the investigated MG. Distribution of critical modes damping ratio is thoroughly investigated by means of Monte Carlo Simulation (MCS). Probabilistic study of small signal stability in MG implies that the renewable energy resources (RES) uncertainties result in a dynamic change of power-sharing strategies and introduce adverse effects on small signal stability. In addition, the damping value is variated from critical damped (with probability around 0.004), well damped and under damped. Moreover, it was monitored that wind speed fluctuation brings more severe impact on system damping than irradiance variation. Consequently, the MG experienced more oscillatory conditions and even lead to unstable situation at high wind speed circumstances. While under solar irradiance change, the investigated MG system can maintain its stable operation.

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“…Traditionally, the deterministic modal analysis was performed to investigate small signal stability performance in the power system. However, the deterministic method was not able to capture the variability and stochastic features of RES since only limited scenarios were considered [1][2][3]. Moreover, it is difficult to assess the risk of instability from the deterministic analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Among the proposed probabilistic analytical methods, Monte Carlo (MC) simulation (MCS) has been a popular method due to its ability to handle a large number of samples with high accuracy and flexibility [1,4]. In [1,2,7,[9][10][11], the effect of wind energy conversion system (WECS) power uncertainty on the oscillatory condition of the power system was investigated through MCS. It was reported that increased WECS penetration in the existing grid deteriorated system dynamic response and damping performance.…”

Section: Introductionmentioning

confidence: 99%

Oscillatory stability assessment of microgrid in autonomous operation with uncertainties

Krismanto

Mithulananthan

Kamwa

2018

IET Renewable Power Generation

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One of the main challenges of the microgrid (MG) operation in autonomous mode is the uncertain output due to the fluctuating nature of renewable energy resources (RES). This study investigates the effects of RES uncertainties to the oscillatory stability of a hybrid MG in islanded operation. A comprehensive model of Wind Energy Conversion System (WECS), a two-stage Photovoltaic (PV) and bio-diesel engine (BDE) based distributed generation (DG) units are considered to capture a complete dynamic response of the hybrid MG. Trajectories and distribution of damping ratios and oscillatory frequencies of the critical modes were thoroughly investigated through Monte Carlo simulation considering wind speed and solar irradiance uncertainties. From the probabilistic study, it was observed that the presence of RES variations results in a dynamic change of power-sharing strategies and introduce an adverse effect on small signal stability. Uncertain condition of wind speed brings more deterioration in system damping than solar irradiation variation. From time domain simulation, it was confirmed that at higher wind speed, damping on the critical modes reduced. As a consequence, the hybrid MG experienced more oscillatory conditions and even lead to unstable situation at high wind speed conditions. While with solar irradiance change, the investigated MG system can maintain its stable operation.

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Probabilistic tuning of Power System Stabilizers considering the wind farm generation uncertainty

Cited by 17 publications

References 16 publications

Dynamic stability analysis of a reduced order micro‐grid bymulti‐timescale theory

Dynamic stability analysis of a reduced order micro‐grid bymulti‐timescale theory

Copula-Monte Carlo Based Probabilistic Oscillatory Stability Analysis of Microgrid

Oscillatory stability assessment of microgrid in autonomous operation with uncertainties

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