A Quasi-Feed-In-Tariff policy formulation in micro-grids: A bi-level multi-period approach
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DOI: 10.1016/j.enpol.2014.04.014
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Cited by:
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- Chen, Yizhong & He, Li & Li, Jing & Cheng, Xi & Lu, Hongwei, 2016. "An inexact bi-level simulation–optimization model for conjunctive regional renewable energy planning and air pollution control for electric power generation systems," Applied Energy, Elsevier, vol. 183(C), pages 969-983.
- Lacchini, Corrado & Rüther, Ricardo, 2015. "The influence of government strategies on the financial return of capital invested in PV systems located in different climatic zones in Brazil," Renewable Energy, Elsevier, vol. 83(C), pages 786-798.
- Zhen, J.L. & Huang, G.H. & Li, W. & Liu, Z.P. & Wu, C.B., 2017. "An inexact optimization model for regional electric system steady operation management considering integrated renewable resources," Energy, Elsevier, vol. 135(C), pages 195-209.
- Kaur, Amanpreet & Nonnenmacher, Lukas & Coimbra, Carlos F.M., 2016. "Net load forecasting for high renewable energy penetration grids," Energy, Elsevier, vol. 114(C), pages 1073-1084.
- Yong Long & Chengrong Pan & Yu Wang, 2018. "Research on a Microgrid Subsidy Strategy Based on Operational Efficiency of the Industry Chain," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
- Garcez, Catherine Aliana Gucciardi, 2017. "What do we know about the study of distributed generation policies and regulations in the Americas? A systematic review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1404-1416.
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Keywords
Quasi Feed-In-Tariff; Micro-grids; Bi-level optimization; Subsidy prices;All these keywords.
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