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Computational Methods for Optimal Planning of Hybrid Renewable Microgrids: A Comprehensive Review and Challenges

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Abstract

This manuscript aims to present a comprehensive literature reviews of various aspects for hybrid microgrids (HMGs) comprising mathe modeling, different optimization techniques, and common adapted objective functions along with their equality and inequality constraints and so on. Classical and modern optimization methodologies are recognized with their inherent features. Special care of renewable energy sources expressly wind and solar including energy storage systems are in order. In addition, uncertainties in solar and wind energy resources are highlighted, and the applications of forecasting models are presented. Comparisons among various HMGs planning and design methods are summarized and criticized for the sake of concluding their merits and demerits. Finally, technical advices for giving good insights for HMGs designers and future researches in this regard are emphasized.

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  1. Electrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt

    D. Emad, M. A. El-Hameed, M. T. Yousef & A. A. El-Fergany

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Emad, D., El-Hameed, M.A., Yousef, M.T. et al. Computational Methods for Optimal Planning of Hybrid Renewable Microgrids: A Comprehensive Review and Challenges. Arch Computat Methods Eng 27, 1297–1319 (2020). https://doi.org/10.1007/s11831-019-09353-9

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