EKF-based TS fuzzy prediction for eliminating the extremely fast reactive power variations in Manjil wind farm-Reference-Cited by-同舟云学术

EKF-based TS fuzzy prediction for eliminating the extremely fast reactive power variations in Manjil wind farm

Published:2021-10 Issue: Volume:199 Page:107422
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Samet Haidar^ORCID,Ketabipour Saeedeh,Vafamand Navid

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference35 articles.

1. Wind Power in Power Systems;Ackermann,2005

2. Renewable energy integration in Alaska's remote islanded microgrids: economic drivers, technical strategies, technological niche development, and policy implications;Holdmann;Proc. IEEE,2019

3. Prerequisites for regulatory innovations in Ukraine under renewable energy sector development;Strelkova,2019

4. Offshore Wind in Europe.2020 Available at https://windeurope.org/wp-content/uploads/files/about-wind/statistics/WindEurope-Annual-Offshore-Statistics-2018.pdf.

5. Simple empiric root-mean-square electric-drivetrain model for wind turbines with full-size converter;von den Hoff,2019

Cited by 7 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

1. Enhanced Short-term Reactive Energy Demand Forecasting by Employing Seasonal Decomposition and Multi-Model Approach;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

2. Quantizing branches' responsibility for voltage sags/swells and flicker events;Electric Power Systems Research;2023-12

3. Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study;Energies;2023-10-25

4. Multi-criteria evaluation and optimization of a novel thermodynamic cycle based on a wind farm, Kalina cycle and storage system: An effort to improve efficiency and sustainability;Sustainable Cities and Society;2023-09

5. Short-term residential household reactive power forecasting considering active power demand via deep Transformer sequence-to-sequence networks;Applied Energy;2023-01