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Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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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:
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The Power Flow Problem and Solution01:26

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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...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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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.
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Methods of Medium Optimization01:28

Methods of Medium Optimization

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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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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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Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
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Related Experiment Video

Updated: Apr 9, 2026

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

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Optimal design and operation of grid-connected hybrid microgrid system using pelican optimization algorithm.

Anirban Maity1, Sajjan Kumar2, Pulok Pattanayak3

  • 1Department of Marine Engineering, The Neotia University, Kolkata, West Bengal, India.

Scientific Reports
|April 7, 2026
PubMed
Summary
This summary is machine-generated.

This study optimizes hybrid microgrids for educational institutions in developing regions, reducing energy costs by 42% and cutting CO₂ emissions by 83% using solar and wind power. The Pelican Optimization Algorithm (POA) ensures efficient system design for reliable, low-carbon energy solutions.

Keywords:
Cost of Energy MinimizationGrid-Connected Hybrid MicrogridOptimal Design and OperationPelican Optimization AlgorithmRenewable Energy Integration

Related Experiment Videos

Last Updated: Apr 9, 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

1.2K

Area of Science:

  • Renewable Energy Systems
  • Optimization Algorithms
  • Sustainable Energy

Background:

  • Educational institutions in developing regions face power reliability issues due to frequent grid outages.
  • Reliance on diesel generators leads to high energy costs and significant CO₂ emissions.
  • A case study at a rural university in West Bengal, India, highlights these challenges.

Purpose of the Study:

  • To develop an optimal grid-connected hybrid microgrid framework for educational institutions.
  • To address power reliability challenges and reduce energy costs and carbon footprint.
  • To evaluate the effectiveness of the Pelican Optimization Algorithm (POA) in microgrid design.

Main Methods:

  • Proposed a hybrid system combining solar photovoltaic (PV), wind turbines (WT), and diesel generators (DG).
  • Utilized the Pelican Optimization Algorithm (POA) for optimizing component sizing.
  • Conducted simulations using real meteorological and load data.

Main Results:

  • Achieved a 42% reduction in energy cost, lowering the Levelized Cost of Energy (LCOE) to ₹6.82/kWh.
  • Reduced carbon emissions by 83%, from 650.37 to 109.72 metric tons/year.
  • Demonstrated POA's superior convergence and solution quality for microgrid optimization.

Conclusions:

  • The integrated PV-WT-DG-grid system offers a viable solution for reliable and low-carbon energy in resource-constrained settings.
  • The proposed framework is replicable and vendor-oriented, providing valuable insights for policymakers.
  • Renewable-dominated hybrid microgrids are economically and environmentally beneficial for institutions facing grid instability.