489 citations · 1.1k across the 17 of their papers we have counts for
8 papers · 1 filter
Outage Detection in Partially Observable Distribution Systems using Smart Meters and Generative Adversarial Networks
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
In this paper, we present a novel data-driven approach to detect outage events in partially observable distribution systems by capturing the changes in smart meters' (SMs) data dis…
Statistical Modeling of Networked Solar Resources for Assessing and Mitigating Risk of Interdependent Inverter Tripping Events in Distribution Grids
Kaveh Dehghanpour, Yuxuan Yuan, Fankun Bu +1
It is speculated that higher penetration of inverter-based distributed photo-voltaic (PV) power generators can increase the risk of tripping events due to voltage fluctuations. To…
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids
Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang +2
This paper presents a supervised multi-agent safe policy learning (SMAS-PL) method for optimal power management of networked microgrids (MGs) in distribution systems. While convent…
A Data-Driven Framework for Assessing Cold Load Pick-up Demand in Service Restoration
Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang +1
Cold load pick-up (CLPU) has been a critical concern to utilities. Researchers and industry practitioners have underlined the impact of CLPU on distribution system design and servi…
A Learning-based Power Management for Networked Microgrids Under Incomplete Information
Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang +1
This paper presents an approximate Reinforcement Learning (RL) methodology for bi-level power management of networked Microgrids (MG) in electric distribution systems. In practice,…
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang +2
This paper presents a review of the literature on State Estimation (SE) in power systems. While covering some works related to SE in transmission systems, the main focus of this pa…
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation
Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang +1
In this paper, we present an efficient computational framework with the purpose of generating weighted pseudo-measurements to improve the quality of Distribution System State Estim…
A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
This paper presents a novel data-driven method that determines the daily consumption patterns of customers without smart meters (SMs) to enhance the observability of distribution s…