Identification of linearised RMS‐voltage dip patterns based on clustering in renewable plants-Reference-Cited by-同舟云学术

Identification of linearised RMS‐voltage dip patterns based on clustering in renewable plants

Author:

García‐Sánchez Tania¹,Gómez‐Lázaro Emilio²,Muljadi Edward³,Kessler Mathieu⁴,Muñoz‐Benavente Irene⁵,Molina‐García Angel⁵

Affiliation:

1. Department of Electrical EngineeringUniversidad Politécnica de Valencia46022ValenciaSpain

2. Renewable Energy Research Institute and DIEEAC‐EDII‐ABUniversidad de Castilla‐La Mancha02071AlbaceteSpain

3. National Renewable Energy LaboratoryGoldenCO8041USA

4. Department of Applied Mathematics and StatisticsUniversidad Politécnica de Cartagena30202CartagenaSpain

5. Department of Electrical EngineeringUniversidad Politécnica de Cartagena30202CartagenaSpain

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

Reference44 articles.

2. ‘World Energy Outlook 2012’. Technical Report International Egency Agency (IEA) 2012. Available atwww.iea.org

3. Behrens C.E.: ‘Energy policy: 113th congress issues’.Congressional Research Service 2013

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Methodologies of Feature Extraction for Voltage Sags in Power System;2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE);2021-12-15