Integration of Distributed Energy Resources in MicroGrid

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

2 weeks, 2 hours a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

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Overview

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This course is designed to provide a comprehensive understanding of Distributed Energy Resources (DERs), renewable energy integration, and microgrid systems that are transforming modern power networks. The course covers the fundamentals of DERs, Solar PV systems, renewable energy forecasting, wind power integration, Virtual Power Plants (VPPs), and Electric Vehicles (EVs) in smart grids. It further explores DER integration methods, microgrid architecture, operational functions, topologies, modeling and simulation techniques, microgrid design, and real-world applications through case studies of successful microgrid implementations. Objectives By the end of this course, you will be able to: • Develop a comprehensive understanding of Distributed Energy Resources (DERs), their classification, benefits, and role in modern power systems. (BL2) • Understand the principles, components, and classifications of Solar Photovoltaic (PV) systems and the importance of renewable energy forecasting for grid operations. (BL2) • Analyze the integration requirements, challenges, and operational considerations associated with wind energy, Virtual Power Plants (VPPs), and Electric Vehicles (EVs) in smart grid environments. (BL4) • Illustrate various methods and strategies used for integrating Distributed Energy Resources into smart grid systems. (BL3) • Understand the architecture, components, operational functions, and topologies of microgrid systems based on industry standards such as IEEE 2030.7. (BL3) • Develop practical skills in modeling, simulating, and designing microgrid systems using MATLAB and HOMER Pro software tools. (BL3) • Analyze real-world microgrid deployment scenarios and assess their impact on rural electrification and sustainable development. (BL4) This course provides a specialized focus on the integration of renewable and distributed energy resources within smart grid and microgrid environments. The course stands out for its balanced coverage of renewable energy technologies, grid integration strategies, forecasting techniques, microgrid design methodologies, and emerging smart grid applications. Additionally, the course discusses practical aspects of renewable energy forecasting, DER integration, Virtual Power Plants, Electric Vehicle integration, microgrid control and operation, and software-based design and simulation techniques. Learners will gain both theoretical knowledge and application-oriented understanding through case studies, simulation exercises, and real-world examples from the evolving energy sector. To be successful in this course, you should have a basic understanding of electrical engineering concepts, including power systems, renewable energy systems, electrical machines, and power electronics. Familiarity with MATLAB, basic programming concepts, and power system analysis will be beneficial but is not mandatory. By enrolling in this course, participants will gain valuable technical knowledge and practical insights directly applicable to renewable energy systems, smart grids, and microgrid technologies. Whether you are a student seeking expertise in sustainable energy systems or a professional aiming to enhance your understanding of modern grid integration technologies, this course offers a strong combination of theoretical foundations and practical industry applications.

Syllabus

Distributed Energy Resources: Forecasting and Integration

Let’s begin this module by understanding the fundamentals of Distributed Energy Resources (DERs) and their growing importance in modern power systems. The module introduces the classification, benefits, and applications of DERs, along with the fundamentals of Solar Photovoltaic (PV) systems and their major components. It explores renewable energy forecasting through a practical demonstration of solar PV forecasting using a Linear Regression algorithm in Python. The module also discusses the methods and activities involved in wind power integration, the concept and operation of Virtual Power Plants (VPPs), and the role of Electric Vehicles (EVs) as active participants in smart grid environments.

Integration of Distributed Energy Resources and Microgrid

Let’s continue this course by exploring the integration of Distributed Energy Resources (DERs) into smart grids and microgrid systems. This module discusses the concepts and methods of DER integration, highlighting their role in improving grid reliability, resilience, and sustainability. The module introduces microgrids, their major components, operational functions as defined by IEEE 2030.7 standards, and various microgrid topologies. It also provides practical exposure to microgrid modeling and simulation using MATLAB and microgrid design using HOMER Pro software. Finally, the module presents a real-world case study on India’s first solar village, demonstrating the application of microgrid technologies for sustainable energy access and rural electrification.