Academy Smart Microgrid

UGS Smart Microgrid Academy

UGS Smart Microgrid Academy is a comprehensive educational and w or kshop programme designed to train technical and managerial professionals in the design, modelling, control and operation of intelligent hybrid microgrids. The Academy’s programme combines the or etical lectures, simulation w or kshops and hands-on practical exercises using real data, with particular emphasis on modern applications such as distribution automation, energy management and the application of artificial intelligence to microgrid optimisation.

Course Overview and Content Structure

The Academy’s learning path comprises four main modules plus several supplementary modules, totaling 36 hours of intensive instruction:

1. Fundamentals and Introduction to Microgrids
   Definitions, overall architecture of microgrids, principal components (distributed generation, loads, power and communications netw or ks) and an overview of the role of microgrids within the smart grid.

2. Component Modelling and Simulation
   Common models f or distributed resources, modelling of static and dynamic loads, power-flow simulation tools and stability analysis methodologies.

3. Control, Stability and Protection
   Operational modes (grid-connected and islanded), control hierarchies (primary, secondary, tertiary), centralised and distributed control approaches, stability classification and tools, protection strategies and co or dination.

4. Planning and Energy Management
   Planning tools and techniques, common optimisation objectives (unit commitment, optimal dispatch, power flow), application of machine learning to microgrid optimisation, and microgrid participation in electricity markets.

Supplementary modules: Distribution Automation (DA) and the role of Distribution Management Systems (DMS), integration of electric vehicles, netw or k reliability indices, case studies and best practices.

Delivery F or mat and Duration

Course length: 36 hours.
F or mat: blended delivery combining lectures, practical w or kshops, simulation exercises, case studies and assessment activities.

Learning Outcomes

On completion of the programme participants will be able to:

• Describe microgrid architectures and components and assess their interoperability with communications technologies.

• Explain the function and role of Advanced Metering Infrastructure (AMI) and distribution management systems in smart grids.

• Analyse interconnection requirements and interoperability f or distributed resources (solar, wind, st or age) within microgrids.

• Apply machine learning and AI techniques to microgrid optimisation and operational planning.

• Develop approaches f or demand-side management, market participation and cybersecurity risk mitigation f or microgrid infrastructure.

• F or mulate strategies f or integrating renewable energy and electric vehicle charging infrastructure into microgrid systems.

Prerequisites

Minimum requirement: Diploma in Electrical ( or equivalent) and at least two years of relevant w or k experience in energy, utilities or related sect or s.

Assessment and Certification

• Assessment method: continuous assessment including practical tasks, non-credit assessments and w or kshop activities.

• Passing criterion: minimum sc or e of 75 out of 100 in the final assessment.

• Retake policy: participants who sc or e below 75 are entitled to one free retake of the final assessment.

• Certificate: successful participants who meet attendance and assessment requirements will receive the Euro 5 International Certificate.

Teaching Team

Lead Academic Instruct or : Dr. Madjid Soltani, Ph.D.
Sh or t CV (summary): Dr. Madjid Soltani holds a Ph.D. in Chemical Engineering—Nanotechnology from the University of Waterloo (2013). He has an established academic and research rec or d in sustainable energy, artificial intelligence and computational modelling, and has taught and led interdisciplinary research projects related to AI-augmented digital twins and energy systems. (Full CV will be attached and made available on the course page.)

Practical Instruct or : Engineer Roozbeh Aghighi — Founder and invent or of the new uninterrupted hybrid solar smart microgrid (UGS).
Sh or t CV (summary): Engineer Roozbeh Aghighi has hands-on experience in designing and implementing hybrid microgrid systems and field prototypes of the UGS architecture. He will lead the practical w or kshops, field scenarios and training on control hardware and simulation tools.

Registration and Contact

F or detailed timetables, fees, and to submit documents or CVs f or instruct or profiles, please complete the contact f or m on the Academy page or email the Academy team. Full CVs and additional instruct or documentation will be published on the course page once finalized.