489 citations · 1k across the 19 of their papers we have counts for
10 papers · 1 filter
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR
Qianzhi Zhang, Fankun Bu, Yi Guo +1
This paper proposes a tractable distributionally robust chance-constrained conservation voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in unbalanced thr…
Analyzing Photovoltaic's Impact on Conservation Voltage Reduction in Distribution Networks
Rui Cheng, Zhaoyu Wang, Yifei Guo +1
Conservation voltage reduction (CVR) has been widely implemented in distribution networks and helped utilities effectively reduce energy and peak load. However, the increasing pene…
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems
Qianzhi Zhang, Yifei Guo, Zhaoyu Wang +1
This paper proposes an asychronous distributed leader-follower control method to achieve conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by opti…
Two-Layer Volt/VAR Control in Unbalanced Active Distribution Systems: Efficient Optimization and Accurate Tracking
Yifei Guo, Qianzhi Zhang, Zhaoyu Wang +2
This paper proposes a novel two-layer Volt/VAR control (VVC) framework to regulate the voltage profiles across an unbalanced active distribution system, which achieves both the eff…
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…
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 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…