Pedro Vergara

Delft University of Technology

Netherlands

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Research Interests

Energy Engineering

100%

Quantum Physics

10%

Distributed Energy

50%

Demand-side Management

30%

Demand Response

30%

Reinforcement Learning

30%

Microgrid Technology

30%

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Articles23

Open source algorithms for maximizing V2G flexibility based on model predictive control

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Year:

2026

DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks

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Year:

2025

RL-ADN

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Year:

2025

A siamese neural network model for phase identification in distribution networks

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2025

Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems

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2025

Topology identification and parameters estimation of LV distribution networks using open GIS data

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Year:

2025

Transfer Learning Framework for Impedance Characterization of Modular Multilevel Converters

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2025

EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking

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Year:

2025

EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models

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Year:

2025

High-temporal-resolution dataset of uni-, bidirectional, and dynamic electric vehicle charging profiles

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Year:

2025

Quantum neural networks for power flow analysis

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Year:

2024

PowerFlowNet: Power flow approximation using message passing Graph Neural Networks

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Year:

2024

Comparative assessment of generative models for transformer- and consumer-level load profiles generation

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Year:

2024

Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm

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Year:

2023

Risk-Aware Operating Regions for PV-Rich Distribution Networks Considering Irradiance Variability

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2023

Critical Data Visualization to Enhance Protection Schemes for State Estimation

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Year:

2023

A Mixed-integer Linear Programming Model for Defining Customer Export Limit in PV-rich Low-voltage Distribution Networks

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Year:

2023

Community energy storage operation via reinforcement learning with eligibility traces

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Year:

2022

Optimal dispatch of PV inverters in unbalanced distribution systems using Reinforcement Learning

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Year:

2022

A fixed-point current injection power flow for electric distribution systems using Laurent series

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Year:

2022

Sizing of an autonomous microgrid considering droop control

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Year:

2022

A Linear AC-OPF Formulation for Unbalanced Distribution Networks

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Year:

2021

Adaptive coordination of sequential droop control for PV inverters to mitigate voltage rise in PV-Rich LV distribution networks

Article Link

Year:

2021

Collaborators10

Han Slootweg

Full Professor

Eindhoven University of Technology

NETHERLANDS

Stavros Orfanoudakis

Delft University of Technology

NETHERLANDS

Zeynab Kaseb

Delft University of Technology

NETHERLANDS

Matthias Möller

Associate Professor

Delft University of Technology

NETHERLANDS

Shengren Hou

Delft University of Technology

NETHERLANDS

Edgar Mauricio Salazar Duque

Eindhoven University of Technology

NETHERLANDS

Phuong Nguyen

Eindhoven University of Technology

NETHERLANDS

Anne Van Der Molen

Eindhoven University of Technology

NETHERLANDS

Peter Palensky

Professor at Delft University of Technology

Delft University of Technology

NETHERLANDS

Fredy Ruiz

Associate Professor

Politecnico di Milano

ITALY

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