Fankun Bu
2022
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR
2022 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
2021
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems
2021 • Qianzhi Zhang, Yifei Guo, Zhaoyu Wang, Fankun Bu
2021
Disaggregating Customer-Level Behind-the-Meter PV Generation Using Smart Meter Data and Solar Exemplars
2021 • Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Yifei Guo
2021
Multisource Data Fusion Outage Location in Distribution Systems via Probabilistic Graphical Models
2021 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
2023
Tractable Data Enriched Distributionally Robust Chance-Constrained Conservation Voltage Reduction
2023 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
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2023-02-14
Tractable Data Enriched Distributionally Robust Chance-Constrained Conservation Voltage Reduction
2023-02-14 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
This paper proposes a tractable distributionally robust chance-constrained conservation voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in unbalanced three-phase distribution systems. The increasing penetration of distributed renewable generation not only brings clean power but also challenges the voltage regulation and energy-saving performance of CVR by introducing high uncertainties to distribution systems. In most cases, the conventional robust optimization methods for CVR only provi…
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Computer Data Storage
Tokenization (Data Security)
Data Fusion
Erwin Data Modeler
Digimon Data Squad
Data Collection
Data Scrubbing
Data Validation
Lift (Data Mining)
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2022-07-07
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR
2022-07-07 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
This paper proposes a tractable distributionally robust chance-constrained conservation voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in unbalanced three-phase distribution systems. The increasing penetration of distributed renewable energy not only brings clean power but also challenges the voltage regulation and energy-saving performance of CVR by introducing high uncertainties to distribution systems. In most cases, the conventional robust optimization methods for CVR only provide c…
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Computer Data Storage
Tokenization (Data Security)
Data Fusion
Erwin Data Modeler
Digimon Data Squad
Data Collection
Data Scrubbing
Data Validation
Lift (Data Mining)
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2021-06-09
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems
2021-06-09 • Qianzhi Zhang, Yifei Guo, Zhaoyu Wang, Fankun Bu
This paper proposes an asynchronous distributed leader-follower control method to achieve conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by optimally scheduling smart inverters of distributed energy resources (DERs). One feature of the proposed method is to consider integrated primary-secondary distribution networks and voltage dependent loads. To ease the computational complexity introduced by the large number of secondary networks, we partition a system into distributed leade…
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Red Rock Canyon National Conservation Area
Energy Conservation
Fiber Distributed Data Interface
Conservation And Restoration Of Immovable Cultural Property
Ex Situ Conservation
Distributed-Element Circuit
Conservation (Psychology)
Conservation
Optimal Control
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2021-04-22
Disaggregating Customer-Level Behind-the-Meter PV Generation Using Smart Meter Data and Solar Exemplars
2021-04-22 • Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Yifei Guo
Customer-level rooftop photovoltaic (PV) has been widely integrated into distribution systems. In most cases, PVs are installed behind-the-meter (BTM), and only the net demand is recorded. Therefore, the native demand and PV generation are unknown to utilities. Separating native demand and solar generation from net demand is critical for improving grid-edge observability. In this paper, a novel approach is proposed for disaggregating customer-level BTM PV generation using low-resolution but widely available hourly…
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2021-11-17
Multisource Data Fusion Outage Location in Distribution Systems via Probabilistic Graphical Models
2021-11-17 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
Efficient outage location is critical to enhancing the resilience of power distribution systems. However, accurate outage location requires combining massive evidence received from diverse data sources, including smart meter (SM) last gasp signals, customer trouble calls, social media messages, weather data, vegetation information, and physical parameters of the network. This is a computationally complex task due to the high dimensionality of data in distribution grids. In this paper, we propose a multi-source dat…
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Computer Data Storage
Tokenization (Data Security)
Google Fusion Tables
Data Fusion
Inertial Confinement Fusion
Erwin Data Modeler
Digimon Data Squad
Fusion Rocket
Ford Fusion Hybrid
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