Abstract

The existing method for investigating the subsynchronous resonance (SSR) caused by wind powergeneration is mainly aimed at a deterministic condition. In order to analyse the impact of uncertain factors onSSR in wind farms, this paper defines the risk matrix and risk index, and develops a SSR-oriented riskassessment method of using probabilistic collocation method (PCM). Considering the uncertain of windspeeds, the proposed method is used to assess the SSR risk of a wind farm. The results show that under thesame wind speed distribution, the higher the series compensation level in the system is, the greater the SSRrisk of the system could be; under the same series compensation level, the SSR risks caused by different windspeed distribution are different, and the system in the areas with lower average wind speed obtains greater SSR risk.

Highlights

  • Large-scale development and utilization of wind energy has become an important part of the energy strategy of many nations (Liserre et al, 2011)

  • There exists the potential risk of subsynchronous resonance (SSR) for such a wind farm when it is connected to series-compensated networks (Ostadi et al, 2009)

  • (7) Assess the SSR risk of the doubly-fed induction-generator (DFIG) wind farm with series compensation through the risk matrix defined in Table 1 and the risk index defined in Equation (11)

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Summary

INTRODUCTION

Large-scale development and utilization of wind energy has become an important part of the energy strategy of many nations (Liserre et al, 2011). There exists the potential risk of subsynchronous resonance (SSR) for such a wind farm when it is connected to series-compensated networks (Ostadi et al, 2009). In most existing work, SSR was investigated under deterministic operating conditions, without considering the uncertainty of some key factors, for instance, the stochastic wind speed. It is difficult to fully understand the risk of SSR and take reasonable countermeasures to address the issue. To fully consider the impact of uncertainties, especially the stochastic wind speed, this paper defines the risk matrix and risk index, and develops a SSR-oriented risk assessment method of using probabilistic collocation method (PCM). The SSR risk of a wind farm with seriescompensated lines is assessed with this method under all the possible wind speed

PROBABILISTIC ASSESSMENT
PROBABILISTIC COLLOCATION METHOD
ORTHOGONAL POLYNOMIAL THEORY
GAUSSIAN INTEGRATION THEORY
RISK INDEX
THE QUANTIFICATION OF SSR RISK
RISK MATRIX
SSR RISK ASSESSMENT METHOD CONSIDERING STOCHASTIC WIND SPEED
MODELLING
SSR RISK ANALYSIS
The Advantages of Probabilistic Safety Risk Assessment
Findings
CONCLUSIONS
Full Text
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