Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

139
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:
139
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

94
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...
94
Power System Distribution01:25

Power System Distribution

219
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...
219
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

144
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...
144
Control of Power Flow01:30

Control of Power Flow

246
There are several methods to control power flow in power systems:
246
Primary Distribution01:28

Primary Distribution

84
Primary distribution systems deliver electrical power from substations to consumers through various voltage classes, with 15-kV class voltages being predominant among U.S. utilities. Older 2.5- and 5-kV classes are being replaced by 15-kV primaries, while higher 25- to 34.5-kV classes are used in high-density urban areas and rural regions with long feeders. Three-phase, four-wire multigrounded systems are widely employed for balanced power delivery, using the neutral wire as a grounding point.
84

You might also read

Related Articles

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

Sort by
Same author

Retraction Note: A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults.

Scientific reports·2026
Same author

RETRACTED: Srivastava et al. Match-Level Fusion of Finger-Knuckle Print and Iris for Human Identity Validation Using Neuro-Fuzzy Classifier. <i>Sensors</i> 2022, <i>22</i>, 3620.

Sensors (Basel, Switzerland)·2026
Same author

Leader follower second order voltage control with disturbance observer for DC microgrids.

Scientific reports·2026
Same author

Fuzzy adaptive human memory optimization based optimal task scheduling in cloud computing.

Scientific reports·2026
Same author

Terabyte scale dataset for partial discharge detection in covered conductors via contact galvanic method.

Scientific data·2026
Same author

Load frequency control of a PV-DSTS integrated thermal-hydro power system using a CCSA-optimized fuzzy fractional-order parallel controller.

Scientific reports·2026

Related Experiment Video

Updated: May 16, 2025

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

156

A quasi oppositional forensic based investigation algorithm for optimizing distributed generation placement and

Binaya Kumar Malika1,2, Vivekananda Pattanaik3,2, Subhasis Panda2,4

  • 1Department of Electrical Engineering, Bhubaneswar Engineering College, Bhubaneswar, India.

Scientific Reports
|May 12, 2025
PubMed
Summary
This summary is machine-generated.

A new quasi-oppositional forensic-based investigation (QOFBI) algorithm optimizes distributed generator (DG) placement and sizing. This method significantly reduces power loss and improves voltage stability in distribution systems.

Keywords:
Active power loss (APL)Distributed generations (DGs)Distribution system planningMicrogridMultiobjective optimizationQuasi-oppositional forensic-based investigation (QOFBI)Voltage deviation (VD)Voltage stability index (VSI)

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

461
Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

5.8K

Related Experiment Videos

Last Updated: May 16, 2025

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

156
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

461
Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

5.8K

Area of Science:

  • Electrical Engineering
  • Power Systems Engineering
  • Optimization Algorithms

Background:

  • Optimal placement and sizing of distributed generators (DGs) are crucial for efficient radial and microgrid distribution systems.
  • Key operational objectives include minimizing real power loss, reducing voltage deviation, and enhancing voltage stability.

Purpose of the Study:

  • To propose a novel quasi-oppositional forensic-based investigation (QOFBI) algorithm for optimizing DG location and sizing.
  • To address operational challenges in distribution systems by minimizing power loss and voltage deviation while improving voltage stability.

Main Methods:

  • Developed a quasi-oppositional forensic-based investigation (QOFBI) algorithm, an evolutionary meta-optimization technique.
  • Employed a weighting factor-based multiobjective formulation with dynamically computed optimal weighting factors.
  • Conducted extensive simulations on IEEE 33-bus and IEEE 69-bus distribution systems.

Main Results:

  • The QOFBI algorithm demonstrated superior performance, faster convergence, and reduced complexity compared to existing methods.
  • Achieved a significant 94.44% reduction in active power loss.
  • Validated robust performance across various operational scenarios and power factor conditions.

Conclusions:

  • The QOFBI algorithm is a highly effective tool for DG optimization in modern distribution systems.
  • The proposed method enhances operational efficiency and system reliability.
  • Dynamic weighting factors ensure a balanced optimization approach for multiple objectives.