Optimal Siting and Sizing of Battery Energy Storage System for Distribution Loss Reduction Based on Meta-heuristics-Reference-Cited by-同舟云学术

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Optimal Siting and Sizing of Battery Energy Storage System for Distribution Loss Reduction Based on Meta-heuristics

Published:2020-06-17 Issue:6 Volume:31 Page:1469-1480
ISSN:2195-3880
Container-title:Journal of Control, Automation and Electrical Systems
language:en
Short-container-title:J Control Autom Electr Syst

Author:

Bai Kunju,Yildizbasi Abdullah

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40313-020-00616-6.pdf

Reference37 articles.

1. Aghajani, G., & Ghadimi, N. (2018). Multi-objective energy management in a micro-grid. Energy Reports, 4, 218–225.

2. Akbary, P., et al. (2019). Extracting appropriate nodal marginal prices for all types of committed reserve. Computational Economics, 53(1), 1–26.

3. Akkar, H. A., & Mahdi, F. R. (2017). Grass fibrous root optimization algorithm. International Journal of Intelligent Systems and Applications, 11(6), 15.

4. Bagal, H. A., et al. (2018). Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory. Solar Energy, 169, 343–352.

5. Brammya, G., Praveena, S., Ninu Preetha, N., Ramya, R., Rajakumar, B., & Binu, D. (2019). Deer hunting optimization algorithm: A new nature-inspired meta-heuristic paradigm. The Computer Journal. https://doi.org/10.1093/comjnl/bxy133.

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