An Overview of Machine Learning Algorithms on Microgrids

An Overview of Machine Learning Algorithms on Microgrids

G. Kanimozhi (Vellore Institute of Technology, Chennai, India) and Aaditya Jain (Vellore Institute of Technology, Chennai, India)
Copyright: © 2024 |Pages: 27
DOI: 10.4018/979-8-3693-1586-6.ch009
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

The concept of microgrid (MG) is based on the notion of small-scale power systems that can operate independently or in conjunction with the larger power grid. MGs are generally made up of renewable energy resources, such as solar panels, wind turbines, and energy storage devices (batteries). Overuse of non-renewable resources causes depletion of the ozone layer and eventually leads to global warming. The classical techniques are not sufficient to solve the problem and require modern solutions like machine learning (ML) algorithms—a subset of artificial intelligence, and deep learning -a subset of ML algorithms. Though MGs have many advantages, they also have issues like high costs, complex management, and the need for better energy storage. ML can predict energy demand, optimize power flow to save money, improve energy storage management, enhances cybersecurity, and protects MGs from hackers. The chapter presented here provides a review of different ML techniques that can be implemented on MGs, their existing problems, and some improvised solutions to overcome the grid issues.
Chapter Preview
Top

Mg’S Concepts

A set of linked loads and DERs that operate as a single, controlled entity with regard to the grid is referred to as an MG Carpintero-Renter, M., et.al 2019). An MG (refer Fig.1) may function in both grid-connected and islanded modes by connecting to and disconnecting from the grid. Figure.1 depicts the MG's components. A small-scale power grid made up of DERs, loads, and controllers is referred to as an MG. An MG's ability to function in grid-connected or island modes, which may produce, distribute, and manage the flow of electricity to nearby users, is one of its main benefits. Electricity distribution systems (Carpintero-Renter, M., et.al 2019) sections that incorporate loads and DERs (such as DGs, storage devices, or controllable loads) that may be operated in a controlled, coordinated manner both when linked to the main power network and/or while islanded.

Complete Chapter List

Search this Book:
Reset