Application of Heuristic Techniques and Evolutionary Algorithms in Microgrids Optimization Problems-Reference-Cited by-同舟云学术

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Application of Heuristic Techniques and Evolutionary Algorithms in Microgrids Optimization Problems

Published:2021 Issue: Volume: Page:219-251
ISSN:1612-1287
Container-title:Microgrids
language:
Short-container-title:

Author:

Ghavifekr Amir Aminzadeh

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-59750-4_9

Reference111 articles.

1. Kang, X., Nuworklo, C. E., Tekpeti, B. S., & Kheshti, M. (2017). Protection of micro-grid systems: A comprehensive survey. The Journal of Engineering, 2017, 1515–1518.

2. Connolly, D., Lund, H., Mathiesen, B. V., & Leahy, M. (2010). A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy, 87, 1059–1082.

3. F. Shariatzadeh, N. Kumar, and A. K. Srivastava, "Intelligent control algorithms for optimal reconfiguration of microgrid distribution system," in 2015 IEEE Industry Applications Society Annual Meeting, 2015, pp. 1–8.

4. Leonori, S., Paschero, M., Mascioli, F. M. F., & Rizzi, A. (2020). Optimization strategies for microgrid energy management systems by genetic algorithms. Applied Soft Computing, 86, 105903.

5. V. Suresh and P. Janik, "Optimal Power Flow in Microgrids using Genetic Algorithm," in 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC), 2019, pp. 483–487.

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