Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

Distributed Loads

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...

Power System Distribution

Power System Distribution

Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Impact of Cooperative Space-Time/Frequency Diversity in OFDM Based Wireless Sensor Systems over Mobile Multipath Channels.

IET wireless sensor systems·2024

Same author

An Effective Video Synopsis Approach with Seam Carving.

IEEE signal processing letters·2024

Same author

Deep Reinforcement Learning Assisted Beam Tracking and Data Transmission for 5G V2X Networks.

IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council·2024

Same author

Real-time low-frequency oscillations monitoring.

Journal of renewable and sustainable energy·2023

Same author

Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System.

IEEE transactions on industrial informatics·2023

Same author

A Hybrid Wired/Wireless Deterministic Network for Smart Grid.

IEEE wireless communications·2023

Search research articles

Related Experiment Video

Updated: Feb 24, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Dynamic Appliances Scheduling in Collaborative MicroGrids System.

Hasnae Bilil^1,2, Ghassane Aniba², Hamid Gharavi¹

¹Advanced Network Technologies Division, National Institute of Standards and Technology, MD, USA.

IEEE Transactions on Power Systems : a Publication of the Power Engineering Society

|August 22, 2017

Summary

This summary is machine-generated.

This study introduces a novel household appliance scheduling system using collaborative MicroGrids (MGs). The approach effectively flattens electricity load curves by dynamically optimizing flexible and non-flexible Deferrable Loads (DLs).

Keywords:

Demand side management Fourier transform NSGA-II demand flattening function dynamic scheduling multiobjective optimization smart grid

More Related Videos

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

Related Experiment Videos

Last Updated: Feb 24, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

Area of Science:

Electrical Engineering
Energy Systems
Optimization Algorithms

Background:

Household appliance scheduling presents challenges in managing electricity demand.
Existing methods may not adequately address the dynamic nature of appliance usage.
MicroGrids (MGs) offer a decentralized approach to energy management.

Purpose of the Study:

To propose a new collaborative system of MicroGrids (MGs) for household appliance scheduling.
To develop a dynamic scheduling algorithm for flexible and non-flexible Deferrable Loads (DLs).
To achieve load curve flattening through systematic appliance operation management.

Main Methods:

Categorization of appliances into flexible and non-flexible Deferrable Loads (DLs).
Development of a dynamic scheduling algorithm incorporating a flattening function calculus.
Application of multi-objective optimization (MOO) problems solved using the NSGA-II algorithm.
Dynamic analysis of two successive MOO problems for non-flexible DL activation and flexible DL power profiles.

Main Results:

The proposed dynamic scheduling algorithm effectively manages appliance operations.
The flattening function calculus successfully reshapes load curves for both flexible and non-flexible DLs.
A case study with 40 MGs demonstrated significant load curve flattening.
The NSGA-II algorithm efficiently resolved the multi-objective optimization problems.

Conclusions:

The collaborative MicroGrid system provides an efficient approach to household appliance scheduling.
The proposed dynamic scheduling algorithm successfully flattens electricity load curves.
This method offers a systematic way for users to manage their electric appliances, contributing to grid stability.