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Development of a Smart Microgrid Named Eco-Campus for Optimal Energy Management, Characterization of Distributed Renewable Generation and Electrical Demand Using a Web Platform (MultiGroup IDEIAGEOCA)

Project Details

Description

This project focuses on the design and implementation of a smart microgrid aimed at optimizing the management of distributed energy resources (DER) within Block H of the Salesian Polytechnic University. The solution incorporates the development of a dedicated web application for real-time system monitoring and supervision. The methodology spans several stages: a descriptive review of the state-of-the-art to model the impact of microgrids on electrical demand; a deductive method to evaluate network restoration following contingencies, including the collection of historical consumption data and the development of the web application. Subsequently, applied research will be utilized to analyze the behavior of various control strategies and optimize the microgrid's design and analysis, seeking to enhance reliability in extreme situations. Finally, experimental research will validate the proposed algorithms through real-time testing on the physical microgrid (Eco-Campus), laying the groundwork for future patents and methodologies.<br/><br/><b>Goal</b>: <br/>To design and implement a smart microgrid for the optimal management of distributed energy resources in Block H of the Salesian Polytechnic University, integrating a web application for monitoring and supervision. The project also aims to technically and economically evaluate the benefits of its operation in both grid-connected and islanded modes.<br/><br/><b>Research lines</b>: <br/>Microgrids and renewable energies<br/>Planning and management of electrical systems
StatusActive
Effective start/end date30/05/25 → …

Keywords

  • Smart Microgrid
  • Energy Management
  • Distributed Energy Resources
  • Web Monitoring
  • Energy Supervision
  • Techno-economic Evaluation
  • Grid-connected Mode
  • Islanded Mode
  • System Reliability
  • Control Strategies

CACES Knowledge Areas

  • 316A Software and Applications Development and Analysis
  • 317A Electricity and Energy

Categorías UNESCO

  • Software and application development and analysis
  • Electricity and energy

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