Multiobjective reactive power planning considering the uncertainties of wind farms and loads using Information Gap Decision Theory
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DOI: 10.1016/j.renene.2020.06.129
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References listed on IDEAS
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- Zhang, Zhaoyi & Shang, Lei & Liu, Chengxi & Lai, Qiupin & Jiang, Youjin, 2023. "Consensus-based distributed optimal power flow using gradient tracking technique for short-term power fluctuations," Energy, Elsevier, vol. 264(C).
- Vahid-Ghavidel, Morteza & Shafie-khah, Miadreza & Javadi, Mohammad S. & Santos, Sérgio F. & Gough, Matthew & Quijano, Darwin A. & Catalao, Joao P.S., 2023. "Hybrid IGDT-stochastic self-scheduling of a distributed energy resources aggregator in a multi-energy system," Energy, Elsevier, vol. 265(C).
- Jiang, Sufan & Wu, Chuanshen & Gao, Shan & Pan, Guangsheng & Liu, Yu & Zhao, Xin & Wang, Sicheng, 2022. "Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty," Renewable Energy, Elsevier, vol. 195(C), pages 395-406.
- Jair Salazar & Diego Carrión & Manuel Jaramillo, 2022. "Reactive Compensation Planning in Unbalanced Electrical Power Systems," Energies, MDPI, vol. 15(21), pages 1-18, October.
- Yuan, Zijun & Zhang, Heng & Cheng, Haozhong & Zhang, Shenxi & Zhang, Xiaohu & Lu, Jianzhong, 2024. "Low-carbon oriented power system expansion planning considering the long-term uncertainties of transition tasks," Energy, Elsevier, vol. 307(C).
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Keywords
IGDT; Multiobjective RPP; Uncertainty; Pareto front; Best compromise solution;All these keywords.
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