Microgrid Training Overview

Microgrid Training Overview

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Microgrid training – Hands-on

This Microgrid training Overview course will teach you the history behind the distributed generation and concept of microgrids. By taking this Microgrid training Overview course, you will understand the microgrid concept, different approaches to control the microgrids, microgrid operation modes, protection of microgrid against faults, benefits of microgrids in power systems, and microgrid different functionalities.

ENO is a leader in teaching industry with professional instructors from academia and industry is pleased to announce the microgrid training for electrical engineers and all other individuals working on microgrid and renewable energy related projects. By taking microgrid training by ENO, you will be able to understand the main components of a microgrid, main operating modes for microgrids regardless of connection to the grid or islanded mode operation, tackle the operating problems of microgrids and direct to the right solution if there is any fault. Learn about microgrid forecasting, demand forecasting, wind and PV generation forecasting, heat demand forecasting, forecasting of energy prices, or evaluation of uncertainties on microgrid prediction.

Our instructors at ENO will help you to understand local controllers in microgrids. You will be able to understand the active power controllers, voltage regulators, control of microgrids with multiple inverters, strategy for master-slave control and secondary controllers. Learn about microgrid protection topics, over current protection, feeder protection in presence of DERs, microgrid protection in case of faults on grid or microgrid, islanded mode protection, and fault current limitation in microgrids.

The audience of microgrid training course will also be able to understand these topics:

• Market Models of Microgrids
• Microgrid Control Architecture
• Communication Technology in Microgrids
• Energy Markets
• Hierarchical Control of microgrids
• Microgrid Operators
• Multi-Agent System Theory
• Centralized and Decentralized Microgrid Control
• Coordination Algorithms for Microgrid Control
• Game Theory Algorithms for Microgrids
• Microgrid State Estimation
• Demand Forecasting
• Master-Slave Control in Microgrids
• Microgrid Local Controllers
• Tertiary Controllers
• Ancillary Services in Microgrids
• Voltage Droop Control
• Stability of Microgrids in Islanded Mode
• Islanded Mode Fault Analysis
• Communication Architecture for Adaptive Protection of Microgrid
• Coordinated Voltage Support
• Coordinated Frequency Control
• Black Start Capability of Microgrids
• Microgrid Benefits
• Sensitivity of Economic Benefits of Microgrids
• Finally, the microgrid training will introduce a set of lab experiments, hands on and in class discussions of real-world microgrid case studies to introduce you to the real challenges in industry and prepare you for your career in microgrid industry.

Duration: 2 days

Microgrid Training

Microgrid TrainingRelated Courses

Customize It:

» If you are familiar with some aspects of Microgrid Training, we can omit or shorten their discussion.
» We can adjust the emphasis placed on the various topics or build the Microgrid Training course around the mix of technologies of interest to you (including technologies other than those included in this outline).
» If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Microgrid Training course in manner understandable to lay audiences.

Audience / Target Group:

The target audience for this Microgrid training course is defined here:

• All individuals who need to understand the microgrid concept
• Power utility engineers working in microgrid and renewable energy industry
• Test engineers starting a career in renewable energies
• Power traders to develop microgrid based projects
• Independent system operator personnel working with microgrids
• Electric utility personnel who recently started career involved with advanced power electronic devices.
• Technicians, operators, and maintenance personnel who are or will be working at microgrid based companies.
• Faculty members from academic institutes who want to teach the microgrid course.
• Investors and contractors who plan to make investments in microgrid industry.
• Managers, accountants, and executives of electric power system industry.


Upon completing this Microgrid training course, learners will be able to meet these objectives:

• Understand the concept of microgrids, benefits and countermeasures related to microgrids
• Explain different control methodologies applied to microgrids
• Understand the microgrid control architecture
• Implement different control methodologies to microgrids and tackle the related issues
• Describe microgrid forecasting, wind forecasting, PV and demand forecasting studies in microgrids
• Apply voltage regulator or active power control to microgrid controller
• Understand the difference between tertiary and secondary controllers in microgrid
• Tackle the protection issues related to microgrid faults, or over current events
• Describe the idea behind coordinated voltage control in microgrids
• Learn about real-world projects in microgrid applications
• Simulate and model the microgrid with proper control implementation

Microgrid Training – Course Syllabus:

Microgrid training course consists of the following lessons, which can be revised and tailored to the client’s need:

Microgrid Concept

Microgrid as a Tool to Integrate Distributed Generation (DG)
What is a Microgrid?
What is Not a Microgrid?
Microgrids and Power Plants
Operation and Control of Microgrids
Controllable Elements in Microgrid
Operation Strategies of Microgrids
Market Models of Microgrids
Internal Markets and Business Models for Microgrids
External Markets and Regulatory Settings for Microgrids
Microgrid Application

Microgrid Control

Introduction to Microgrid Control
Control Functions in Microgrids
Communication Technology and Information in Microgrids
Microgrid Control Architecture
Microgrid Operators
Hierarchical Control of Microgrid
Centralized and Decentralized Control
Economic Operation
Participation in Energy Markets
Mathematical Formulation of Economic Operation
Solution of Economic Operation
Multi-agent System Theory
Agent Communications and Development
Agent Communication Language
Agent Ontology and Data Modeling
Coordination Algorithms for Microgrid Control
Game Theory and Market Based Algorithms
Stability and Advanced Architecture
Microgrid State Estimation

Microgrid Forecasting

Forecasting in Microgrids
Demand Forecasting
Wind and PV Generation Forecasting
Heat Demand Forecasting
Electricity Prices Forecasting
Evaluation of Uncertainties on Predictions
Electricity Price Forecasting

Intelligent Controllers in Microgrids

Introduction to Local Controllers
Active Power Control
Voltage Regulations
Control Strategies for Multiple Inverters
Master Slave Control Scheme
Multi-Master Control Scheme
Droop Control Implementation in Voltage Source Converters
Ancillary Services
Secondary Control Loops
Tertiary Controllers
Implications of Line Parameters on Frequency and Voltage Droop Concepts
Power Transmission in Low Voltage Grid
Indirect Operation of Droops
Innovative Local Controllers
Stability in Islanded Mode
Stability in Grid Connected Mode

Microgrid Protection

Distribution System Protection
Over-Current Distribution Feeder Protection
Over-Current Distribution Feeder Protection and DERs
Grid Connected Mode with External Faults
Grid Connected Mode with Fault on Microgrid Side
Grid Connected Mode with Fault at the End-Customer Side
Islanded Mode with Fault in Microgrid
Islanded Mode with Fault in Customer Side
Adaptive Protection in Microgrids
Pre-calculated Setting Based Protection
Grid Connected Mode Protection with no DER
Grid Connected Mode Protection with DER Connected
Adaptive Protection Based on Real-Time Calculated Settings
Communication Architecture for Adaptive Protection
Fault Current Limitation in Microgrids

Multi-Microgrid Operation

Multi-Microgrid Control and Management
Coordinated Voltage/VAR Support
Mathematical Formulation
Microgrid Steady-State Equivalents
Development Tools
Coordinated Frequency control
Hierarchical Control Overviews
Hierarchical Control Details
Emergency Functions- Black Start
Restoration Guidelines
Sample Restoration Procedure
Dynamic Equivalents
Application of Dynamic Equivalence Based Approaches to Microgrids
The Microgrid System Definition

Microgrid Projects in Operation

Microgrid Projects in Europe
Field Test in Greece Microgrid
Germany Microgrid Project
Islanded Operation and Smart Storage in Netherland
Microgrid Projects in USA
Japanese Microgrid Projects
Microgrid Projects in China
Off-Grid Microgrid in Chile

Benefits of Microgrid Operation

Potential Microgrid Benefits
Economic Benefits of Microgrids
Technical and Environmental Benefits of Microgrids
Benefit Qualification Study
Quantification of Microgrid Benefits under Standard Test Condition
Balancing and Energy Standard Tests
Social Aspects of Microgrid Deployment
Impact of External Market Prices and Pricing Policies
Sensitivity of Energy Balancing in Response to External Market Prices
Sensitivity of Economic Benefits
Impact of Microgrid Operation Strategy

Hands On, Workshops and Group Activities

Group Activities

Sample Workshops and Labs for Microgrid Training

Solar Panel Simulations Case Study
Experiments on Wind Farms and Simulations
High Voltage DC (HVDC) Transmission Case Study
Voltage Source Inverter Modeling and Workshop
Voltage/Frequency Control in Smart Grids
P/Q Case Study and Simulation with Matlab
Voltage Support Case Simulations
Energy Management Case Study and Experiment
Electric Vehicle Test Case
Doubly Fed Induction Generators in Wind Farms
PWM Switching Case Study
Microgrid Training

Microgrid Training

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