Projects

2026

1. Game Theory

   

   Optimal Generalized Nash Equilibria Selection in Monotone Aggregative Games under Shared Physical Constraints

   , KTH Royal Institute of Technology, Sweden. Funded by ERASMUS Mundus Joint Master Thesis: Multi-agent Voltage Support Coordination in Energy Communities , Jun 2026
2. Algorithmic Foundations

   

   DyNECT multi-agent explicit resource allocation with Multiparametric Variational Inequalities

   , KTH Royal Institute of Technology, Sweden. Explore DyNECT and mpGNE-games extension!, A Julia solver for computing how multiple interacting systems will share limited resources, as an explicit piecewise-affine map for any given input. , Jun 2026
3. Markets & Security

   

   IfA Automatic Control Lab: Power Flow Manifold derivation as DSO Network Constraint

   , KTH Royal Institute of Technology, Sweden.Input-Output Map to Aggregated Grid Constraint, reduced interface for network security preservation , Jun 2026

   Slides
4. Markets & Security

   

   ETH Zürich Presentation: A day-ahead market model for power systems, benchmarking & security implications. Critical Review

   , ETH Zürich, Switzerland. , Jun 2026

   Slides
5. Game Theory

   

   Study Case: Exploring Flexibility-as-a-Service from Energy Communities

   , KTH Royal Institute of Technology, Sweden. Physical and/or Markets Coordination. Inverter Utilization, PWA Linear Bid Startegies and Cooperative Behaviour. The map enables an Energy Community Manager (e.g. Aggregator, FSP or Municipality) to select among decentralized equilibria according to a higher level operational objective , Jun 2026
6. HVDC

   

   Dynamic Modeling and Droop Control Design for Multi-Terminal HVDC Systems

   , Polytechnic University Catalunya, Spain. MT-HVDC droop control: modeling, steady-state sharing, and dynamic performance. Mathworks Script example , May 2026

   Abs Slides

   A multivariable droop control design methodology was developed for a four-terminal VSC-based HVDC grid connecting two wind farm converters (WFC) and two grid-side converters (GSC). The system was modeled using transfer function matrices to explicitly distinguish controlled and non-controlled voltages and currents. A frequency-domain framework based on singular value decomposition (SVD) was applied to evaluate worst-case amplification across frequencies and to impose quantitative performance constraints on voltage deviations and converter current effort. This enabled the systematic selection of the droop gain, identifying an optimal proportional gain of "𝐾 = 1/20" that satisfies voltage regulation, current limitation, and bandwidth constraints. The design was validated through time-domain simulations under power step disturbances and AC fault conditions, demonstrating robust power sharing, fast DC voltage stabilization, and safe current operation without overshoot.

7. Stability

   

   STAMP: Small-Signal Stability Analysis Tool for Converter-Dominated Grids

   , Polytechnic University Catalunya, Spain. State-space linearization, eigenvalue tracking, and participation-factor insights. Running Open-Source Tool can be found here , May 2026

   Abs PDF Poster Slides

   Performed modal analysis of a hydro-dominated benchmark system under progressive replacement of synchronous generators with grid-following VSCs using the STAMP state-space toolbox (CITCEA-UPC). Eigenvalue and participation-factor analysis showed how converter control loops (PLL, current regulators, filters) reshape the spectrum, introducing poorly damped high-frequency modes and reducing natural damping in weak-grid conditions. Stability was recovered through systematic droop and time-constant tuning, demonstrating how control design—not inertia—becomes the dominant stabilizing mechanism in power-electronics-dominated grids..

8. Optimization + ML

   

   Smart Forecasting & Optimization Pipeline for Energy Trading (Spanish)

   , Industrial R&D, Mexico. End-to-end ML + optimization workflow with data engineering and SCADA context. Github repo (glimpse) , Feb 2026

   Abs Slides

   Designed and implemented an end-to-end predictive and optimization architecture for energy trading decisions, integrating SCADA data, meteorological variables (NASA POWER, Meteoblue), and nodal market signals into a unified forecasting framework. Developed a modular feature engineering system (multi-layer architecture with temporal decomposition, lags, market spreads, and exogenous variables) and trained LSTM-based models to predict asset-level deviations and price-sensitive behaviors. Formulated and solved a regularized optimization problem (L2-penalized loss) using Gradient Descent and Nesterov acceleration to calibrate decision parameters, enabling robust DAM–RTM strategy adjustments. The pipeline translates raw 5-minute measurements into structured forecasts and optimization-driven bidding recommendations, bridging physical asset behavior with market intelligence.

2025

1. VSC Control

   

   Grid-Forming and Grid-Following VSC Control Report

   , Polytechnic University Catalunya, Spain. Cascaded control loops, DC-link regulation, and virtual inertia concepts. , Jan 2025

   Abs PDF

   Developed and analyzed dynamic control architectures for voltage source converters operating in both grid-following (GFOL) and grid-forming (GFM) modes. Implemented detailed models including inner current loops, DC-link control, PLL synchronization (GFOL), droop-based voltage–frequency regulation (GFM), and virtual impedance shaping for improved stability and power-sharing behavior. Transient and small-signal responses were evaluated under grid disturbances, comparing synchronization-dependent control with grid-supportive operation. The study highlights how virtual impedance and droop tuning influence current limitation, fault response, and stability margins in converter-dominated systems.

2. Optimization

   

   Unit Commitment Modeling and Dispatch Optimization (RTE Case Study)

   , Ecole Centrale Nantes, France. Operational constraints, scheduling logic, and economic dispatch framing , May 2025

   Abs PDF

   Developed a multi-period Unit Commitment (UC) model in AMPL inspired by an RTE case study, progressing from a basic economic dispatch formulation to a full MILP framework with binary on/off decisions, startup cost linearization, minimum generation limits, and minimum on-duration constraints. The project focused on translating operational power system constraints into optimization language and analyzing how increasing model realism reshapes dispatch outcomes and total system cost. Results highlighted the structural trade-offs between economic efficiency and operational feasibility in thermal-dominated generation systems.

3. Network Studies

   

   Power Flow Improvement and Reactive Power Compensation Study

   , National Polytechnic University Bucharest, Romania. MV Distributed Generation Allocation NEPLAN Network Studies for loss reduction and optimal reactive power management. , May 2025

   Abs PDF

   Conducted a steady-state power flow and reactive power compensation study using NEPLAN on a medium-voltage distribution network. The project involved load flow analysis under different loading scenarios to identify voltage deviations, thermal limit violations, and poor power factor conditions. Reactive compensation strategies were evaluated through capacitor bank placement and adjustment of generator power factors to improve voltage profiles and reduce network losses. The study demonstrated how targeted reactive power control enhances voltage stability margins and operational efficiency within technical constraints of the distribution system.

4. Resilience

   

   Influence of Electrical System Resilience on User Power Supply

   , National Polytechnic University Bucharest, Romania. From system-level resilience to user-perceived power quality - Power Quality Training , May 2025

   Abs Slides

   Developed a structured technical review examining how system-level resilience decisions propagate to user-perceived power quality (PQ). The study distinguishes reliability, security, and resilience frameworks and analyzes how non-credible, indistinct disturbances—such as high RoCoF events, DER disconnections, protection miscoordination, and cyber-control interactions—manifest at the user level through voltage dips, frequency excursions, and degraded service continuity. Using real event case studies (e.g., UK 2019 disturbance) and recent literature, the work highlights that resilience is increasingly shaped by fast local mechanisms (DER reactive power control, BESS fast frequency response, adaptive protection) rather than traditional planning redundancy, emphasizing the dynamic link between system design and user supply quality.

5. DC Microgrid

   

   State-Space Modeling and Stability Analysis of DC Systems

   , Polytechnic University Catalunya, Spain. Impact of load & generation allocation, as well as grid connection configurations. , May 2025

   Abs PDF Slides

   This project developed a detailed state-space modeling and steady-state analysis framework for a 21-node DC microgrid under realistic industrial, residential, and photovoltaic profiles. Both linearized DC power flow and nonlinear formulations (solved via fsolve) were implemented in MATLAB and benchmarked against GridCal to ensure numerical consistency. Time-series simulations assessed voltage profiles, power exchange, losses, and current stress under single and dual AC-grid connection scenarios. Results quantified the impact of network topology on voltage regulation, loss reduction, and operational flexibility, providing planning-oriented insights for converter-based DC distribution systems.

2024

1. HVDC

   

   Commutation Failure Prediction in Hybrid AC/DC Grids: A Study Case in China

   , Beijing Jiaotgong, China, May 2024

   Abs PDF Slides

   Supported the development of an AI-based framework for commutation failure (CF) prediction in hybrid AC/DC systems with long-distance LCC-HVDC links in China. Contributed to PSCAD modeling (14–60 bus systems) to simulate thyristor commutation dynamics and generate synthetic datasets under varying firing angles, extinction angle (γ), DC current, and AC commutation voltage. Assisted in data preparation and neural network training to identify nonlinear relationships between operating conditions and CF events, contributing to a risk-oriented prediction and control strategy. Also supported the publication of a preliminary review on ML applications in modern power systems

2023

1. Tech Sizing

   

   Siemens Energy: Combined Heat & Power System Assessment and Sizing (Spanish)

   , Monterrey Institute of Technology, Mexico. Cogeneration performance metrics and sizing rationale , May 2023

   Abs PDF

   Technical and economic assessment of a combined heat and power (CHP) system based on the Siemens SGT-600 gas turbine for an industrial facility in Nuevo León, Mexico. The project involved load estimation, technology selection, system configuration design, and full financial evaluation (CAPEX, OPEX, NPV, IRR, and payback period) under regional tariff schemes. Environmental impact and regulatory compliance were also analyzed (NOM standards and GRI indicators), integrating energy efficiency, emissions reduction, and industrial competitiveness criteria into the final sizing decision.

2. Data Science

   

   Industrial Sustainability Assessment (Spanish)

   , Monterrey Institute of Technology, Mexico. Dashboard and smart data aquisition for international standards aligmemt , May 2023

   Abs Video Slides

   Design and implementation of a centralized data acquisition and reporting framework for a multi-site industrial corporation. The project focused on structuring dispersed operational data streams into a standardized architecture enabling traceability, KPI harmonization, and automated report generation aligned with international reporting standards (GRI-based structure). A dynamic dashboard was developed to integrate energy consumption, emissions data, workforce metrics, and financial indicators into a unified visualization system, improving data integrity, transparency, and executive-level decision support. The work emphasized scalable data structuring, cross-departmental information consolidation, and measurable performance tracking across corporate operations.

3. Data Science

   

   National Generation Mix Analysis (Spanish)

   , ENEL Green Power, Mexico, May 2023

   Abs

   Data-driven analysis of Mexico’s national generation mix based on PRODESEN 2023 datasets, focusing on capacity distribution, technology penetration, regional allocation, and long-term expansion trends. The project involved structured data cleaning, transformation, and visualization (Excel-based analytical modeling) to extract technical insights on renewable integration, dispatchable capacity balance, and grid evolution scenarios. Emphasis was placed on identifying structural trends in installed capacity growth, renewable share trajectories, and implications for system reliability and investment strategy from a generation portfolio perspective.

2021

1. Tech Sizing

   

   bp: Solar PV Feasibility Study (Spanish)

   , Mobility & Convenience Americas, Mexico. Tool development for Resource assessment, yield estimation, and feasibility narrative , May 2021

   Abs PDF

   Technical and financial feasibility assessment of distributed solar PV systems for BP’s company-owned service station network (COCO) in Mexico. The study included load profiling for 62 pilot stations ( 3.9 GWh/year), preliminary layout design using satellite-based site analysis, system sizing, and evaluation of compensation schemes (Equity vs. PPA). A 15-year financial projection model was developed to compare on-site generation versus grid procurement, incorporating CAPEX, tariff structures, savings, and long-term return scenarios. The project supported strategic decision-making toward decentralized renewable integration within a retail mobility network.