ConvOPF-DOP: A Data-Driven Method for Solving AC-OPF Based on CNN Considering Different Operation Patterns-Reference-Cited by-同舟云学术

ConvOPF-DOP: A Data-Driven Method for Solving AC-OPF Based on CNN Considering Different Operation Patterns

Published:2023-01 Issue:1 Volume:38 Page:853-860
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Jia Yujing¹^ORCID,Bai Xiaoqing¹^ORCID,Zheng Liqin¹^ORCID,Weng Zonglong¹,Li Yunyi¹

Affiliation:

1. Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, College of Electrical Engineering, Guangxi University, Nanning, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/9998169/09745376.pdf?arnumber=9745376

Reference35 articles.

1. Allocation of VAr support using LP and NLP based optimal power flows

2. DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow

3. A generalized quadratic-based model for optimal power flow

4. DeepOPF-V: Solving AC-OPF Problems Efficiently

5. Review of learning-assisted power system optimization

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