An analysis of the impacts of wind power penetration in the power system of southern Brazil
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DOI: 10.1016/j.energy.2019.115869
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Cited by:
- He, Ke-Lun & Zhao, Tian & Ma, Huan & Chen, Qun, 2023. "Optimal operation of integrated power and thermal systems for flexibility improvement based on evaluation and utilization of heat storage in district heating systems," Energy, Elsevier, vol. 274(C).
- Kim, Gyeongmin & Hur, Jin, 2021. "Probabilistic modeling of wind energy potential for power grid expansion planning," Energy, Elsevier, vol. 230(C).
- Chris Matthew & Catalina Spataru, 2021. "Scottish Islands Interconnections: Modelling the Impacts on the UK Electricity Network of Geographically Diverse Wind and Marine Energy," Energies, MDPI, vol. 14(11), pages 1-21, May.
- Hu, Jinxing & Li, Hongru, 2022. "A transfer learning-based scenario generation method for stochastic optimal scheduling of microgrid with newly-built wind farm," Renewable Energy, Elsevier, vol. 185(C), pages 1139-1151.
- Deng, Xu & Lv, Tao & Xu, Jie & Hou, Xiaoran & Liu, Feng, 2022. "Assessing the integration effect of inter-regional transmission on variable power generation under renewable energy consumption policy in China," Energy Policy, Elsevier, vol. 170(C).
- Zhao, Shihao & Li, Kang & Yang, Zhile & Xu, Xinzhi & Zhang, Ning, 2022. "A new power system active rescheduling method considering the dispatchable plug-in electric vehicles and intermittent renewable energies," Applied Energy, Elsevier, vol. 314(C).
- Chi, Lixun & Su, Huai & Zio, Enrico & Qadrdan, Meysam & Li, Xueyi & Zhang, Li & Fan, Lin & Zhou, Jing & Yang, Zhaoming & Zhang, Jinjun, 2021. "Data-driven reliability assessment method of Integrated Energy Systems based on probabilistic deep learning and Gaussian mixture Model-Hidden Markov Model," Renewable Energy, Elsevier, vol. 174(C), pages 952-970.
- Nascimento da Silva, Gabriela & Rochedo, Pedro R.R. & Szklo, Alexandre, 2022. "Renewable hydrogen production to deal with wind power surpluses and mitigate carbon dioxide emissions from oil refineries," Applied Energy, Elsevier, vol. 311(C).
- Masood, Nahid-Al- & Mahmud, Sajjad Uddin & Ansary, Md Nazmuddoha & Deeba, Shohana Rahman, 2022. "Improvement of system strength under high wind penetration: A techno-economic assessment using synchronous condenser and SVC," Energy, Elsevier, vol. 246(C).
- Abu-Rayash, Azzam & Dincer, Ibrahim, 2020. "Development of an integrated energy system for smart communities," Energy, Elsevier, vol. 202(C).
- Howard, D.B. & Soria, R. & Thé, J. & Schaeffer, R. & Saphores, J.-D., 2020. "The energy-climate-health nexus in energy planning: A case study in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
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Keywords
Wind power penetration; Power system modeling; Brazilian power system; Hourly economic dispatch;All these keywords.
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