Deep Q-Learning-Based Mud Ring Optimization Approach for Optimal Power Flow in Islanded DC Microgrid-Reference-Cited by-同舟云学术

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Deep Q-Learning-Based Mud Ring Optimization Approach for Optimal Power Flow in Islanded DC Microgrid

Published:2023-12-11 Issue: Volume: Page:1-13
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Acharya Srinivasa¹²,B. M. Praveen¹,Vijaya Kumar D.²

Affiliation:

1. Srinivas University, Mangalore, Karnataka, India

2. Department of Electrical and Electronics Engineering, Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2283562

Reference33 articles.

1. Power Flow Analysis for Low-Voltage AC and DC Microgrids Considering Droop Control and Virtual Impedance

2. Protection of Low-Voltage DC Microgrids

3. Optimal Power Flow in Stand-Alone DC Microgrids

4. S. K. Prince, S. Affijulla, and G. Panda, “Fault detection in IEEE 9-bus DC microgrid system using differential current method,” 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 2021. In IEEE, pp. 1–6.

5. C. Li, S. K. Chaudhary, J. C. Vasquez, and J. M. Guerrero, “Power flow analysis for droop controlled LV hybrid AC-DC microgrids with virtual impedance,” 2014 IEEE PES General Meeting Conference & Exposion, 2014, pp. 1–4.

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