Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks-Reference-Cited by-同舟云学术

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Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks

Published:2023-09 Issue:5 Volume:14 Page:3375-3387
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Ma Zixiao¹^ORCID,Zhang Qianzhi¹^ORCID,Wang Zhaoyu¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA

Funder

National Science Foundation

U.S. Department of Energy Wind Energy Technologies Office

Solar Energy Technologies Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

https://ieeexplore.ieee.org/ielam/5165411/10226523/10025395-aam.pdf

Reference33 articles.

1. Droop-Free Distributed Control for AC Microgrids

2. Distributed Secondary Control Strategy for Microgrid Operation with Dynamic Boundaries

3. Event-Triggered Updating Method in Centralized and Distributed Secondary Controls for Islanded Microgrid Restoration

4. Optimal Distributed Control of AC Microgrids With Coordinated Voltage Regulation and Reactive Power Sharing

5. Stability Analysis using Quadratic Constraints for Systems with Neural Network Controllers

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2. Voltage Calculations in Secondary Distribution Networks via Physics-Inspired Neural Network Using Smart Meter Data;IEEE Transactions on Smart Grid;2024-09

3. Singular Perturbation-Based Large-Signal Order Reduction of Microgrids for Stability and Accuracy Synthesis With Control;IEEE Transactions on Smart Grid;2024-07

4. A Survey on Application of Artificial Intelligence Techniques in Microgrid Control;2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2024-06-24

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