A5047479225- Optimal Power Flow Distribution
- Smart Grid Security and Resilience
- Microgrid Control and Optimization
- Power System Optimization and Stability
- Integrated Energy Systems Optimization
- Smart Grid Energy Management
- Information and Cyber Security
- Infrastructure Resilience and Vulnerability Analysis
- Power System Reliability and Maintenance
- Water Systems and Optimization
- Non-Destructive Testing Techniques
- Energy Load and Power Forecasting
- Matrix Theory and Algorithms
- Electric Power System Optimization
- Solar Thermal and Photovoltaic Systems
- Photovoltaic System Optimization Techniques
- Water-Energy-Food Nexus Studies
- Solar Radiation and Photovoltaics
Cornell University
2022-2024
Arizona State University
2019-2021
This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems. The key insight behind our design consists in deriving so-called shift operator (GSO), which cornerstone Graph Convolutional Neural Network (GCN) Recursive (GRN) designs, from flow equations. We demonstrate effectiveness proposed two applications: forecasting grid state finding a stochastic policy foresighted voltage...
In this paper, we present SoDa, an irradiance-based synthetic Solar Data generation tool to generate realistic sub-minute solar photovoltaic (PV) output power time series, that emulate the weather pattern for a certain geographical location. Our relies on National Radiation Database (NSRDB) obtain irradiance and data patterns site. Irradiance is mapped onto PV model estimate of plant's 30-min output, based configuration panel. The working hypothesis high-resolution (e.g. 1 second)...
In this work, we introduce Log(v) 3LPF, a linear power flow solver for unbalanced three-phase distribution systems. 3LPF uses logarithmic transform of the voltage phasor to linearize AC equations around balanced case. We incorporate modeling ZIP loads, transformers, capacitor banks, switches and their corresponding controls express network in matrix-vector form. With scalability mind, special attention is given computation inverse system admittance matrix, Ybus. use Sherman-Morrison-Woodbury...
Distributed energy resources (DER) and control assets on the grid provide mechanisms to ensure voltage support power quality, can be used as a means maintain voltages close nominal values. In this work, we study security region of system in presence devices with. We focus our efforts dynamics that apply discrete changes, such regulators or capacitor banks, DERs change injections with Volt/Var/Watt functionality. The slow these devices, coupled through flow equations, are modeled switching...
In this paper we present a data set that is intended to support ongoing research address the increasing dependence of electric power networks on natural gas pipelines. Several efforts have emerged expand sample for studying systems at scale, which can be used develop and test control optimization concepts algorithms these systems. Comparable developed gas-network instances been valuable advancing parallel efforts. However, available sets with realistic representations two types...
In this work, we introduce Log(v) 3LPF, a linear power flow solver for unbalanced three-phase distribution systems. 3LPF uses logarithmic transform of the voltage phasor to linearize AC equations around balanced case. We incorporate modeling ZIP loads, transformers, capacitor banks, switches and their corresponding controls express network in matrix-vector form. With scalability mind, special attention is given computation inverse system admittance matrix, Ybus. use Sherman-Morrison-Woodbury...
In this work, we introduce Log(v) 3LPF, a linear power flow solver for unbalanced three-phase distribution systems. 3LPF uses logarithmic transform of the voltage phasor to linearize AC equations around balanced case. We incorporate modeling ZIP loads, transformers, capacitor banks, switches and their corresponding controls express network in matrix-vector form. With scalability mind, special attention is given computation inverse system admittance matrix, Ybus. use Sherman-Morrison-Woodbury...
Power systems often rely on natural gas pipeline networks to supply fuel for gas-fired generation. Market inefficiencies and a lack of formal coordination between the wholesale power delivery infrastructures may magnify broader impact cyber-attack pipeline. In this study we present model that can be used quantify cyber-attacks electricity operations. We activation vectors attempt gain access compressor controls using continuous-time Markov chain over state space based operator Industrial...
This paper proposes a model-free Volt-VAR control (VVC) algorithm via the spatio-temporal graph ConvNet-based deep reinforcement learning (STGCN-DRL) framework, whose goal is to smart inverters in an unbalanced distribution system. We first identify shift operator (GSO) based on power flow equations. Then, we develop ConvNet (STGCN), testing both recurrent ConvNets (RGCN) and convolutional (CGCN) architectures, aimed at capturing spatiotemporal correlation of voltage phasors. The STGCN layer...