Monitoring and Control using Synchrophasors in Power Systems with Renewables最新文献

Power system controlled islanding schemes 电力系统控制孤岛方案

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch12

引用次数: 0

Coherency identification of generators in interconnected power systems with renewables 可再生能源互联电力系统中发电机的一致性辨识

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch6

Zhenzhi Lin, F. Wen, Yi Ding, Yusheng Xue, Shengyuan Liu

{"title":"Coherency identification of generators in interconnected power systems with renewables","authors":"Zhenzhi Lin, F. Wen, Yi Ding, Yusheng Xue, Shengyuan Liu","doi":"10.1049/pbpo121e_ch6","DOIUrl":"https://doi.org/10.1049/pbpo121e_ch6","url":null,"abstract":"Identification of coherent generators (CGs) in power systems is one of the key steps in determining controlled islanding strategies. In this chapter, a wide-area measurement system (WAMS) and agglomerative hierarchical clustering (AHC) algorithm-based coherency identification method is presented for interconnected power systems with aggregated renewable sources. First, the trajectories measured by WAMS are transformed to the center of inertia (COI) based ones for better representing the dynamic behavior of a given power system, and ten dissimilarity indexes are presented for determining the similarity between the trajectories of any two generators. Second, a CRITIC (CRiteria Importance Through Intercriteria Correlation)-based method, in which entropy and the Spearman's rank correlation coefficient are integrated for reflecting the differences and correlations among multiple indexes, respectively, is presented to integrate the trajectory dissimilarity indexes. Next, the AHC algorithm is utilized to identify CGs. Finally, a modified New England-New York interconnected power system (NENYPS) with a large number of renewables, a simplified actual Western Interconnection power system (WECCPS) in North America, and the eastern part of Guangdong power system in China with a recorded oscillation event happened are utilized to demonstrate the proposed wide-area coherency identification methodology.","PeriodicalId":371143,"journal":{"name":"Monitoring and Control using Synchrophasors in Power Systems with Renewables","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128142060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Response-based event detection for one-shot wide-area stability controls 基于响应的单次广域稳定控制事件检测

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch8

引用次数: 2

Online short-term voltage stability monitoring based on wide-area trajectory data analytics 基于广域轨迹数据分析的在线短期电压稳定监测

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch9

Lipeng Zhu, Chao Lu

{"title":"Online short-term voltage stability monitoring based on wide-area trajectory data analytics","authors":"Lipeng Zhu, Chao Lu","doi":"10.1049/pbpo121e_ch9","DOIUrl":"https://doi.org/10.1049/pbpo121e_ch9","url":null,"abstract":"In this chapter, a TS data analytics-based imbalance learning machine for power system online SVS monitoring is systematically developed. It is dedicated to addressing the challenging class imbalance problem in practice, which is induced by the assumption that learning samples are mainly collected from historical and/or online PMU records. To deal with class skewness from both data-preprocessing and algorithm perspectives, the proposed learning machine tactfully integrates two critical techniques, that is, FN-SMOTE and cost-sensitive learning. Based on this learning machine, an online SVS assessment scheme is designed by further introducing an incremental learning strategy, which enhances the scheme's adaptability and reliability during online monitoring. Numerical test results on the Nordic test system and the real-word CSG illustrate that the proposed learning machine achieves excellent performances even if it is exposed to severe class imbalance. In addition to its reliability and adaptability during online monitoring, the learning machine exhibits desirable interpretability for SVS pattern discovery and comprehension in practical power grids. In relevant future work, an array of aspects, e.g., spatial-temporal correlation learning, advanced deep learning, and model/data mixed learning, can be explored and investigated to further enhance the data-driven SVS assessment solution's applicability in practice.","PeriodicalId":371143,"journal":{"name":"Monitoring and Control using Synchrophasors in Power Systems with Renewables","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131474022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent voltage regulation scheme of active distribution networks with renewable energy integration 可再生能源集成有功配电网的智能调压方案

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch13

引用次数: 0

Back Matter 回到问题

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_bm

引用次数: 0

Future directions of power system monitoring and control using synchrophasors 电力系统同步相量监测与控制的未来发展方向

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch17

引用次数: 0

A hierarchical data-driven method for short-term voltage stability assessment of power systems 电力系统短期电压稳定评估的分层数据驱动方法

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch10

引用次数: 0

Impact of data quality on synchrophasor-based control to minimize wind curtailment 数据质量对基于同步相量的控制的影响，以尽量减少弃风

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch11

引用次数: 0

Load modeling based on synchrophasor measurements 基于同步相量测量的负载建模

Monitoring and Control using Synchrophasors in Power Systems with Renewables Pub Date : 2020-06-29 DOI: 10.1049/pbpo121e_ch5

引用次数: 0