Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation-Reference-Cited by-同舟云学术

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Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation

Published:2022-02-22 Issue:4 Volume:54 Page:3215-3233
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Fu Zao,He Xing,Liu Ping,Palizban Ali,Liao Wengjing

Funder

Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation Project of Chongqing CSTC

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-10760-6.pdf

Reference43 articles.

1. Yao Y, He X, Huang T et al (2018) A projection neural network for optimal demand response in smart grid environment. Neural Comput Appl 29(6):259–267

2. Tang H, Sun W, Yu H et al (2019) A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments. Appl Intel 49(7):2603–2622

3. Liu Y, Ge B, Abu-Rub H et al (2014) An effective control method for quasi-Z-source cascade multilevel inverter-based grid-tie single-phase photovoltaic power system. IEEE Trans Ind Inform 10(1):399–407

4. Deng T, He X, Zeng Z (2018) Recurrent neural network for combined economic and emission dispatch. Appl Intel 48(8):2180–2198

5. Lu X, Yu X, Lai J et al (2017) Distributed secondary voltage and frequency control for islanded microgrids with uncertain communication links. IEEE Trans Ind Inform 13(2):448–460

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1. Backward neural network (BNN) based multilevel control for enhancing the quality of an islanded RES DC microgrid under variable communication network;Heliyon;2024-06

2. Backward Neural Network (BNN) Based Multilevel Control for Islanded RES DC Microgrid for Variable Communication Network;2023

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