Enhancing Power System Performance via TCSC Technology Allocation With Enhanced Gradient-Based Optimization Algorithm-Reference-Cited by-同舟云学术

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Enhancing Power System Performance via TCSC Technology Allocation With Enhanced Gradient-Based Optimization Algorithm

Published:2024 Issue: Volume:12 Page:97806-97832
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aljumah Ali S.¹,Alqahtani Mohammed H.¹^ORCID,Shaheen Abdullah M.²^ORCID,Elsayed Abdallah M.³^ORCID

Affiliation:

1. Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Department of Electrical Engineering, Faculty of Engineering, Suez University, Suez, Egypt

3. Electrical Engineering Department, Faculty of Engineering, Damietta University, Damietta, Egypt

Funder

Prince Sattam Bin Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10597567.pdf?arnumber=10597567

Reference72 articles.

1. A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches

2. Low Voltage Distribution Networks Modeling and Unbalanced (Optimal) Power Flow: A Comprehensive Review

3. Optimal Power Flow Solution With an Embedded Center-Node Unified Power Flow Controller Using an Adaptive Grasshopper Optimization Algorithm

4. Efficient utilization of power system network through optimal location of FACTS devices using a proposed hybrid meta‐heuristic Ant Lion‐Moth Flame‐Salp Swarm optimization algorithm

5. A Knowledge-Based Framework for Power Flow and Optimal Power Flow Analyses

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