| Title | Impact Analysis of Intra-Interval Variation on Dynamic Security Assessment of Wind-Energy Power Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhang, Yuchen, Dong, Zhao Yang, Xu, Yan, Su, Xiangjing, Fu, Yang |
| Conference Name | 2020 IEEE Power & Energy Society General Meeting (PESGM) |
| Keywords | composability, Dynamic security assessment, Dynamical Systems, intra-internal variation, Monte Carlo methods, Monte-Carlo simulation, Power system dynamics, power system security, Predictive Metrics, Probabilistic logic, pubcrawl, Resiliency, Testing, wind energy, Wind power generation, wind power. |
| Abstract | Dynamic security assessment (DSA) is to ensure the power system being operated under a secure condition that can withstand potential contingencies. DSA normally proceeds periodically on a 5 to 15 minutes basis, where the system security condition over a complete time interval is merely determined upon the system snapshot captured at the beginning of the interval. With high wind power penetration, the minute-to-minute variations of wind power can lead to more volatile power system states within a single DSA time interval. This paper investigates the intra-interval variation (IIV) phenomenon in power system online DSA and analyze whether the IIV problem is deserved attention in future DSA research and applications. An IIV-contaminated testing environment based on hierarchical Monte-Carlo simulation is developed to evaluate the practical IIV impacts on power system security and DSA performance. The testing results show increase in system insecurity risk and significant degradation in DSA accuracy in presence of IIV. This result draws attention to the IIV phenomenon in DSA of wind-energy power systems and calls for more robust DSA approach to mitigate the IIV impacts. |
| DOI | 10.1109/PESGM41954.2020.9281417 |
| Citation Key | zhang_impact_2020 |
Impact Analysis of Intra-Interval Variation on Dynamic Security Assessment of Wind-Energy Power Systems