Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Al-Nahrain Journal for Engineering SciencesOpen Access

The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm

View Full Paper
Ask AI
Bookmark
Share

Authors

SHSana Khalid Abd Al HassanFTFiras Mohammed TuaimahYNYasser Nadhum

Discussion

Loading...

Member takes

Overview

Analysis shows improvements in voltage profile and reductions in power flow losses, highlighting UPFC's role in managing transmission efficiency.

Key Points

  • The installation of UPFC improved the voltage profile in the Iraqi 400 kV grid, enhancing transmission efficiency.
  • Genetic Algorithm optimization identified optimal locations for UPFCs, leading to significant reductions in active and reactive power losses.
  • Utilizing the Newton-Raphson method allowed accurate load flow analysis, with results showing close alignment between experimental and practical outcomes.
  • Power System Simulation software demonstrated effective management of various loading conditions (5%-20%) under the established UPFC model.

Cite This Study

Hassan et al. (2025) studied this question.

synapsesocial.com/papers/68c1abf954b1d3bfb60e43bchttps://doi.org/10.29194/njes.28020187
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1OPTIMAL PLACEMENT OF UNIFIED POWER FLOW CONTROLLER USING PARTICLE SWARM OPTIMIZATION TECHNIQUE2024
  2. 2A Hybrid Improved Wolf Optimization with A Genetic Algorithm Developed for Analysis of the Optimal Location of UPFC to Optimize the Performance Improvement2024
  3. 3Unified Power Flow Controller (UPFC) Used to Relieve Power Congestion on a 500/230 kV Grid2024 · 2 citations
  4. 4A Comprehensive Assessment of UPFC-Based Power Flow Control for Voltage Stability Enhancement in Large-Scale Power Systems2026
  5. 5Intelligent method for Power flow using Artificial Neural Network with UPFC2024 · 5 citations