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Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

814
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:
814
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

702
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
702
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

980
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes...
980
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
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Load-frequency control01:28

Load-frequency control

773
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
773
Multimachine Stability01:25

Multimachine Stability

621
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:
621

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Related Experiment Video

Updated: Mar 24, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

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

Published on: February 14, 2025

1.1K

Fair Energy Scheduling for Vehicle-to-Grid Networks Using Adaptive Dynamic Programming.

Shengli Xie, Weifeng Zhong, Kan Xie

    IEEE Transactions on Neural Networks and Learning Systems
    |March 2, 2016
    PubMed
    Summary

    Fair energy scheduling for electric vehicles (EVs) using vehicle-to-grid technology balances charging loads. Contribution-based fairness prioritizes EVs based on charge/discharge actions, mitigating peak grid demand and ensuring equitable energy access.

    Related Experiment Videos

    Last Updated: Mar 24, 2026

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

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

    Published on: February 14, 2025

    1.1K

    Area of Science:

    • Smart grid technology
    • Renewable energy integration
    • Electric vehicle charging infrastructure

    Background:

    • Growing electric vehicle (EV) adoption poses challenges to smart grid stability due to increased charging loads.
    • Reliability of the smart grid is a significant concern with high EV penetration.
    • Environmental and energy crises necessitate efficient grid management solutions.

    Purpose of the Study:

    • To propose a fair energy scheduling strategy for EV charging and discharging using vehicle-to-grid (V2G) technology.
    • To ensure fairness in residential distribution networks by managing EV electricity loads.
    • To mitigate the impact of EV charging on smart grid reliability.

    Main Methods:

    • Formulation of the fair energy scheduling problem as an infinite-horizon Markov decision process.
    • Employment of adaptive dynamic programming for online network training to maximize long-term fairness.
    • Definition of contribution-based fairness, prioritizing EVs based on charge/discharge energy and timing.

    Main Results:

    • The proposed EV energy scheduling effectively mitigates and flattens peak load in the distribution network.
    • Contribution-based fairness ensures EVs discharging during peak hours receive higher priority.
    • The method guarantees fairness in the full charge time for all EVs and aids in rapid recovery of deeply discharged batteries.

    Conclusions:

    • The developed contribution-based fairness approach optimizes EV energy scheduling for smart grid stability.
    • V2G technology integrated with adaptive dynamic programming provides an effective solution for managing EV charging impacts.
    • This research contributes to a more reliable and equitable smart grid with high EV penetration.