Load margin assessment of systems with distributed generation with the help of a neuro‐fuzzy method-Reference-Cited by-同舟云学术

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Load margin assessment of systems with distributed generation with the help of a neuro‐fuzzy method

Published:2015-05 Issue:4 Volume:9 Page:331-339
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Zambroni de Souza Matheus Ferreira¹,Reis Yuri¹,Almeida Adriano Batista¹,Lima Isaias¹,Zambroni de Souza Antonio Carlos¹

Affiliation:

1. Electrical and Energy Systems InstituteFederal University of ItajubáBrazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Instituto Nacional de Energia Elétrica

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2014.0090

Reference37 articles.

1. Tracing PV and QV Curves With the Help of a CRIC Continuation Method

2. A new approach for power lines performance estimation based on load variation due to voltage sags;Leborgne R.C.;Electr. Power Syst. Res.,2012

3. Voltage collapse risk assessment

4. Defining Control Strategies for MicroGrids Islanded Operation

5. Voltage security constrained active and reactive power pricing considering reactive market power;Hasanpour S.;Electr. Eng.,2013

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