1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Colorado BoulderUS112 papers
- Colorado School of MinesUS59 papers
- King's College LondonGB30 papers
- Lawrence Berkeley National LaboratoryUS28 papers
- Fudan UniversityCN17 papers
- Radboud University NijmegenNL15 papers
- Stanford UniversityUS15 papers
- University of MinnesotaUS15 papers
- University of California, BerkeleyUS14 papers
- Colorado State UniversityUS13 papers
- North Carolina State UniversityUS12 papers
- Princeton UniversityUS12 papers
12 papers · 2 filters
The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices
Markus Fleschutz, Markus Bohlayer, Marco Braun +2
Price-based demand response (PBDR) has recently been attributed great economic but also environmental potential. However, the determination of its short-term effects on carbon emis…
Voltage Estimation in Low-Voltage Distribution Grids with Distributed Energy Resources
Marija Marković, Amirhossein Sajadi, Anthony Florita +2
The present distribution grids generally have limited sensing capabilities and are therefore characterized by low observability. Improved observability is a prerequisite for increa…
Switching Device-Cognizant Sequential Distribution System Restoration
Anmar Arif, Bai Cui, Zhaoyu Wang
This paper presents an optimization framework for sequential reconfiguration using an assortment of switching devices and repair process in distribution system restoration. Compare…
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein +2
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building…
On analytical construction of observable functions in extended dynamic mode decomposition for nonlinear estimation and prediction
Marcos Netto, Yoshihiko Susuki, Venkat Krishnan +1
We propose an analytical construction of observable functions in the extended dynamic mode decomposition (EDMD) algorithm. EDMD is a numerical method for approximating the spectral…
Probabilistic Resilience of DER systems -- A Simulation Assisted Optimization Approach
Sakshi Mishra, Kate Anderson
Energy systems resilience is becoming increasingly important as the frequency of major grid outages increases. In this work, we present a methodology to optimize a behind-the-meter…
An Improved Transmission Switching Algorithm for Managing Post-(N-1) Contingency Violations in Electricity Networks
Tanveer Hussain, S M Shafiul Alam, Siddharth Suryanarayanan +1
This letter is a proof of concept for an improved transmission switching (TS) performance by moving the search space to load shed buses. Research from the past shows that changing…
Expert Elicitation on Wind Farm Control
J. W. van Wingerden, P. A. Fleming, T. Göçmen +13
Wind farm control is an active and growing field of research in which the control actions of individual turbines in a farm are coordinated, accounting for inter-turbine aerodynamic…
Nonlinear Virtual Inertia Control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations
Bi Liu, Qi Huang, Junbo Zhao +2
Virtual inertia controllers (VICs) for wind turbine generators (WTGs) have been recently developed to compensate for the reduction of inertia in power systems. However, VICs can in…
Computational Experiment Design for Operations Model Simulation
Jose Daniel Lara, Jonathan T. Lee, Duncan Callaway +1
Computer simulations that demonstrate the valueof novel approaches are crucial to developing more flexibleand robust power systems operations with high penetrations ofrenewable ene…
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems
Ying Zhang, Xinan Wang, Jianhui Wang +1
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (MADRL) in unbalanced distribution systems. This method is novel…
A Framework for Distributed and Compositional Stability Analysis of Power Grids
Stefanos Baros, Andrey Bernstein, Nikos Hatziargyriou
Operating modern power grids with stability guarantees is admittedly imperative. Classic stability methods are not well-suited for these dynamic systems as they involve centralized…