Markov Chain Monte Carlo Cubature Particle Filter for Unbalanced Distribution System State Estimation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1439-5_56
Reference11 articles.
1. da Silva, A.M.L., Filho, M.B.D.C., Cantera, J.M.C.: Efficient dynamic state-estimation algorithm including bad data processing. IEEE Power Eng. Rev. 7(11), 49 (1987)
2. Debs, A.S., Larson, R.E.: A dynamic estimator for tracking the state of a power system. IEEE Trans. Power Appar. Syst. 89(7), 1670–1678 (1970)
3. Mandal, J.K., Sinha, A.K., Roy, L.: Incorporating nonlinearities of measurement function in power system dynamic state estimation. IET Proc. Gener. Trans. Distrib. 142(3), 289–296 (1995)
4. Wang, S., Gao, W., Meliopoulos, A.P.S.: An alternative method for power system dynamic state estimation based on unscented Transform. IEEE Trans. Power Syst. 27(2), 942–950 (2012)
5. Arasaratnam, I., Haykin, S.: Cubature kalman filters. IEEE Trans. Autom. Control 54(6), 1254–1269 (2009)
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3