3 citations · 5 across the 17 of their papers we have counts for
20 papers
Congestion Price Uncertainty From Interconnection Queue by Monte Carlo Sampling
William A. Wheeler, Samuel Chevalier, Amritanshu Pandey
The generation interconnection queue adds discrete uncertainty to power grid congestion price estimates on the project planning timescale. The conventional approach to this uncerta…
Steady-State Equivalent Circuit Model for Data Center Loads
Muhammad Hamza Ali, Peng Sang, Hyeon Woo +3
Planners currently represent data centers as aggregate constant-PQ or ZIP loads in steady-state interconnection and contingency studies. These aggregate models are computationally…
Grid-ECO: Grid Aware Electric Vehicle Charging Stations Placement Optimizer
Bikram Panthee, Haoming Yang, Corey D. Harper +1
We develop Grid-ECO, a method for optimally allocating electric vehicle charging stations (EVCS) within a distribution feeder while accounting for EV charging demand at census-leve…
Stochastic framework for scheduling preemptive upgrades of distribution transformers
William A Wheeler, Samuel Chevalier, Amritanshu Pandey
Electrification of residential heating and transporta- tion has the potential to overload transformers in distribution feeders. Strategic scheduling of transformer upgrades to anti…
AC Dynamics-aware Trajectory Optimization with Binary Enforcement for Adaptive UFLS Design
Muhammad Hamza Ali, Amritanshu Pandey
The high penetration of distributed energy resources, resulting in backfeed of power at the transmission and distribution interface, is causing conventional underfrequency load she…
Solving Three-phase AC Infeasibility Analysis to Near-zero Optimality Gap
Bikram Panthee, Amritanshu Pandey
Recent works have shown the use of equivalent circuit-based infeasibility analysis to identify weak locations in distribution power grids. For three-phase power flow problems, when…
Analysis of Circuit-based Per-Panel Diode Model of Photovoltaic Array
Peng Sang, Santhosh Balasubramanian, Amritanshu Pandey
Solar photovoltaic systems are increasing in size and number on the grid. In regions with high penetration, such as California, PV systems serve multiple functions, including peak…
PowerChain: A Verifiable Agentic AI System for Automating Distribution Grid Analyses
Emmanuel O. Badmus, Peng Sang, Dimitrios Stamoulis +1
Rapid electrification and decarbonization are increasing the complexity of distribution grid (DG) operation and planning, necessitating advanced computational analyses to ensure re…
Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
Emmanuel O. Badmus, Amritanshu Pandey
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs…
AC-aware Optimization Framework for Under-Frequency Load Shedding
Mazen Elsaadany, Muhammad Hamza Ali, Amritanshu Pandey +1
Under-frequency load shedding (UFLS) prevents system collapse during large disturbances. Increased penetration of distributed energy resources (DERs) and reduced system inertia mak…
Circuit-Theoretic Joint Parameter-State Estimation of Utility-Scale Photovoltaic, Battery, and Grid Systems
Peng Sang, Amritanshu Pandey
Solar PV and battery storage systems have become integral to modern power grids. Therefore, bulk grid models in real-time operation must include their physical behavior accurately…
Distributed Primal-Dual Interior Point Framework for Analyzing Infeasible Combined Transmission and Distribution Grid Networks
Muhammad Hamza Ali, Amritanshu Pandey
The proliferation of distributed energy resources has heightened the interactions between transmission and distribution (T&D) systems, necessitating novel analyses for the reliable…
Unlearning Climate Misinformation in Large Language Models
Michael Fore, Simranjit Singh, Chaehong Lee +3
Misinformation regarding climate change is a key roadblock in addressing one of the most serious threats to humanity. This paper investigates factual accuracy in large language mod…
Anomaly Detection in Power Grids via Context-Agnostic Learning
SangWoo Park, Amritanshu Pandey
An important tool grid operators use to safeguard against failures, whether naturally occurring or malicious, involves detecting anomalies in the power system SCADA data. In this p…
Circuit-theoretic Joint Parameter-State Estimation -- Balancing Optimality and AC Feasibility
Peng Sang, Amritanshu Pandey
AC State Estimation (ACSE) is widely recognized as a practical approach for determining the grid states in steady-state conditions. It serves as a fundamental analysis to ensure gr…
ANOCA: AC Network-aware Optimal Curtailment Approach for Dynamic Hosting Capacity
Emmanuel O. Badmus, Amritanshu Pandey
With exponential growth in distributed energy resources (DERs) coupled with at-capacity distribution grid infrastructure, prosumers cannot always export all extra power to the grid…
Optimization-based Framework for Selecting Under-frequency Load Shedding Parameters
Waheed Owonikoko, Mazen Elsaadany, Amritanshu Pandey +1
High penetration of renewable resources results in a power system with lower inertia and higher frequency sensitivity to power imbalances. Such systems are becoming increasingly su…
Making Distribution State Estimation Practical: Challenges and Opportunities
Frederik Geth, Marta Vanin, Werner Van Westering +2
In increasingly digitalized and metered distribution networks, state estimation is generally recognized as a key enabler of advanced network management functionalities. However, de…
Towards Energysheds: A Technical Definition and Cooperative Framework for Future Power System Operations
Dakota Hamilton, Samuel Chevalier, Amritanshu Pandey +1
There is growing interest in understanding how interactions between system-wide objectives and local community decision-making will impact the clean energy transition. The concept…
Predictive Optimization of Hybrid Energy Systems with Temperature Dependency
Tanmay Mishra, Amritanshu Pandey, Mads R. Almassalkhi
Hybrid Energy Systems (HES), amalgamating renewable sources, energy storage, and conventional generation, have emerged as a responsive resource for providing valuable grid services…