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Hi, I'm Sahan Siriwardena

Research Assistant | University of Peradeniya

I am a research-focused engineer exploring the intersection of power systems, power electronics, renewable energy, and IoT-based smart technologies. My work aims to improve grid reliability, energy efficiency, and sustainable power conversion through data-driven modelling, intelligent control, and experimental validation. I am committed to developing innovative solutions that advance modern, resilient, and technology-enhanced energy systems.

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Research Interests

Power Systems

Analysis, optimization, and control of electrical power networks

Renewable Energy

Integration of sustainable energy sources in modern grids

Power Electronics

Converter design and control for efficient power conversion

Smart Grids

Intelligent monitoring, control, and automation systems

IoT Systems

Connected devices for real-time monitoring and control

Control Systems

Advanced control strategies for industrial applications

Education

Bachelor of Science in Engineering

University of Peradeniya

[2021 - 2025]

  • First Class Honours
  • GPA: 3.7 / 4.0
  • Major: Electrical and Electronic Engineering

Secondary Education

Trinity College Kandy

[2005 - 2019]

  • Advanced Level: Science Stream
  • Results: 3 A passes
  • Z-Score: 2.4466
  • District Rank: 17
  • Ordinary Level: 9 A passes

Publications

Modeling of Battery Capacitor Behavior for Power Electronics Applications

Authors: S.J. Siriwardena, A.S. Bandara, J. Ekanayake

Published in: Proceedings of the 2025 19th International Conference on Industrial and Information Systems (ICIIS 2025)

Year: 2025

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Development of Multivariate Attention LSTM model for Dynamic Line Rating forecasting

Authors: A.S. Bandara, S.J. Siriwardena, A. Wijethunge, J. Ekanayake

Published in: Proceedings of the 2025 16th International Conference on Sustainable Build Environment 2025 and Next-Gen Innovation & Advancement (DIAMOND 75), The Kandy Conference 2025

Year: 2025

PDF DOI Cite

Equivalent Circuit cell modeling for Battery-type supercapacitors

Authors: A.S. Bandara, S.J. Siriwardena, J.B. Ekanayake

Published in: Proceedings of the 2025, Peradeniya University International Research Sessions and Exposition (iPURSE2025)

Year: 2025

PDF DOI

Semi-Transparent Solar Canopy For Greenhouses

Authors: S.J. Siriwardena, W.S.N. Menindara, D.M.D.D. Dissanayake, B.G.L.T. Samaranayake, J.B. Ekanayake

Published in: The International Conference on Climate Change and Agriculture in Tropical Latitudes (CCATL)

Year: 2025

PDF

Experience

Research Assistant

SMART GRID LAB, UNIVERSITY OF PERADENIYA

Aug 2025 – Present

Undergraduate Research Student

SMART GRID LAB, UNIVERSITY OF PERADENIYA

Aug 2023 – Aug 2025

Trainee Electrical Engineer

CEYLON ELECTRICITY BOARD

Aug 2024 – Oct 2024

  • Trained at Moragolla Hydro Power Plant
  • Gained experience in switchyard equipment installation and generator installation

Trainee Electronic Engineer

SRI LANKA TELECOM

Aug 2023 – Oct 2023

  • Gained experience in fibre optic installation and network management

Key Projects

Enhancing Photovoltaic Hosting Capacity in Medium Voltage Distribution Networks through Integrated SCR-Based Planning and Dynamic Line Rating: A Techno-Economic Analysis

2025 – Present
  • This ongoing research proposes an integrated framework to enhance PV hosting capacity in MV distribution networks by combining Short Circuit Ratio (SCR)-based probabilistic PV allocation, coordinated voltage control, Dynamic Line Rating (DLR), and techno-economic assessment
  • A Physics-Informed Neural Network (PINN) is being developed to estimate aerial bundled cable (ABC) conductor temperature by embedding thermal balance equations into the learning process
  • Monte Carlo simulations on a modified IEEE 13-bus system are being conducted to evaluate hosting capacity, thermal constraints, PV curtailment, and battery sizing under realistic operating conditions
Technologies:
Python Matlab OpenDSS

Development of Multivariate Attention LSTM For Dynamic Line Rating Forecasting

2025
  • This project proposed a multivariate Long Short-Term Memory (LSTM) model enhanced with an attention mechanism to improve Dynamic Line Rating (DLR) forecasting accuracy
  • The model captures nonlinear interdependencies among environmental variables including ambient temperature, conductor temperature, wind speed, humidity, and solar irradiance
  • Experimental validation using real-world DLR data demonstrated a prediction accuracy of 95.84%, outperforming conventional LSTM models
Technologies:
Python Matlab TensorFlow

Modeling of Battery Capacitor Behavior for Power Electronics Applications

2025
  • The project developed a Thevenin equivalent circuit model to accurately represent the charge–discharge behavior of battery capacitors
  • Model parameters were identified using Hybrid Pulse Power Characterization (HPPC) tests and refined through MATLAB parameter estimation for improved accuracy
  • The model was validated in MATLAB/Simulink and applied in an off-grid photovoltaic (PV) system with integrated battery capacitor storage
Technologies:
Matlab Simulink Python

Development of Soft Programmable Logic Controllers for Precision Agriculture

2025 – Present
  • Conducted a comprehensive analysis of Soft PLC systems as a cost-effective alternative to traditional PLCs
  • Designed and implemented a Soft PLC–based wireless smart irrigation system using Raspberry Pi as the central controller
  • Developed IEC 61131-3–compliant control logic for real-time sensor processing, adaptive irrigation decisions, and precise valve actuation
  • Integrated ESP32-based LoRa sensor nodes with Firebase cloud connectivity for remote monitoring, enabling reliable long-range communication and low-latency control in outdoor environments
  • Developed the central control system using Raspberry Pi and the sensor node using ESP32 with LoRa compatibility
Technologies:
Raspberry Pi ESP32 LoRa Firebase IEC 61131-3

Techno-Economic Analysis of Agrivoltaic Plants

Dec 2024 – Aug 2025
  • Conducted a comprehensive analysis of agrivoltaic systems integrating solar energy generation with crop cultivation
  • Evaluated land use efficiency, crop selection, solar panel configuration, and economic viability
  • Simulated solar irradiance, shading patterns, and crop productivity under semi-transparent PV panels using Rhino 3D and Grasshopper
  • Performed load behavior analysis and modeled the agrivoltaic system using Rhino and Grasshopper
  • Integrated grow light simulations using Honeybee plugin and carried out techno-economic evaluations for optimized design
Technologies:
Python Rhino 3D Grasshopper C++ Honeybee

Smart Socket Project

Jan 2024 – Apr 2024
  • Developed a prototype smart socket to measure the power usage of connected components, compatible with Alexa
  • The prototype socket can be controlled using the Alexa smart control hub
  • Power usage monitoring is displayed through a custom developed mobile app
  • Designed and developed the PCB
  • Implemented Alexa integration and prototype connectivity
  • Developed the mobile application
Technologies:
Alexa Integration PCB Design Mobile App Development IoT

Digital Level Meter Project

Aug 2023 – Dec 2023
  • Developed a prototype to measure the incline of a surface and display how much the surface inclines in degrees
  • The whole system is programmed from assembly language
  • Developed the algorithm from Assembly language
Technologies:
Assembly Language Embedded Systems

Smart Meter (IntelliSwitcher) Project

2023
  • IoT-based energy optimization system designed to reduce household energy consumption and costs
  • Features an IoT device that connects to existing switches, continuously monitors power usage, and provides real-time data via a mobile app
  • Using AI, it analyzes consumption patterns and offers personalized recommendations to improve energy efficiency
  • Designed the 3D model
  • Implemented and developed the circuit and the PCB
Technologies:
IoT AI PCB Design 3D Modeling Mobile App

Skills

Programming

Python MATLAB C/C++ C C++ JavaScript SQL R HTML/CSS Shell Scripting

Simulation & Modelling Tools

MATLAB/Simulink ETAP PSS/E DIgSILENT PowerFactory PSCAD AutoCAD ArcGIS SketchUp

Power System Softwares

OpenDSS Pandapower PSS/E DIgSILENT PSCAD Altair PSIM

PCB Designing Softwares

KiCAD Fusion 360 Eagle CAD Altium Designer

Electrical Engineering

Power Systems Analysis Load Flow Studies Protection Systems SCADA Design PLC Programming Circuit Design Power Electronics Control Systems

Deep Learning Frameworks

TensorFlow PyTorch

Web Development

React.js HTML CSS

Mobile Programming

Android React Native

Graphics / Video

Adobe Photoshop Adobe Illustrator Adobe After Effects

Hardware-oriented Programming

Arduino Verilog HDL Assembly Altair Embedded dSpace C2000 Texas Instrumentation

Research & Academic

Literature Review Data Analysis Statistical Methods Technical Writing LaTeX Research Design Peer Review Presentation Skills

Additional Tools

Git/GitHub Docker TensorFlow Pandas NumPy Jupyter Power BI Excel

Languages

English (Professional fluency) Sinhalese (Mother tongue)

Awards & Honors

2025

  • Best Scientific Paper - 16th International Conference on Sustainable Build Environment 2025 and Next-Gen Innovation Advancement (DIAMOND 75), The Kandy Conference 2025

2024

  • Semifinalist - VolCast 1.0 Ideathon
  • 16th Rank - Coders V11.0 Coding Competition (out of 100+ teams)

2023

  • Semifinalist - IEEE Electronic Design Competition
  • 2nd Runners up - Hackathon 2023 (Social Category)

2021

  • Top Ten Robots - ROBOTRICKS'21 Line Following Robots Competition
  • Excellence Performance - EFI Mini Project Competition 2021 (Agriculture Category)

Contact

sahanssiriwardena@gmail.com github.com/Sahan-Siri Sahan Siriwardena