Multi-objective non-weighted optimization to explore new efficient design of electrical microgrids
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DOI: 10.1016/j.apenergy.2021.117758
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Cited by:
- Hassani, Hossein & Razavi-Far, Roozbeh & Saif, Mehrdad, 2022. "Real-time out-of-step prediction control to prevent emerging blackouts in power systems: A reinforcement learning approach," Applied Energy, Elsevier, vol. 314(C).
- Kassab, Fadi Agha & Celik, Berk & Locment, Fabrice & Sechilariu, Manuela & Liaquat, Sheroze & Hansen, Timothy M., 2024. "Optimal sizing and energy management of a microgrid: A joint MILP approach for minimization of energy cost and carbon emission," Renewable Energy, Elsevier, vol. 224(C).
- F. L. Byk & P. V. Ilyushin & L. S. Myshkina, 2022. "Forecast and Concept for the Transition to Distributed Generation in Russia," Studies on Russian Economic Development, Springer, vol. 33(4), pages 440-446, August.
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Keywords
Decision-support tool; Microgrid modelling; Multi-objective optimization; Energy system simulation; Genetic algorithm;All these keywords.
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