Temporally-adaptive Robust Data-driven Sparse Voltage Sensitivity Estimation for Large-scale Realistic Distribution Systems with PVs

Author:

Liang Yingqi1ORCID,Zhao Junbo2ORCID,Siano Pierluigi3ORCID,Srinivasan Dipti1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

2. Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA

3. Department of Management & Innovation Systems, University of Salerno, Italy

Funder

University of Connecticut Research Excellence Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Techno-Economic Modeling and Analysis of Off-Grid Microgrids for Rural Electrification in China;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

2. Techno-Economic Feasibility of Off-Grid Renewable Energy Systems: A Comparative Case Study;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

3. Robust Learning-Assisted Data-Driven Congestion Management via Sparse Sensitivity Estimation;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

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