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-Reference-Cited by-同舟云学术

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

Published:2020-04-07 Issue:7 Volume:30 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Dash Stita¹^ORCID,Subhashini Konidala R.¹,Satapathy Jitendriya¹

Affiliation:

1. Electrical EngineeringNational Institute of Technology Rourkela Rourkela India

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12402

Reference34 articles.

1. Assessment and control of the impact of FACTS devices on power system performance

2. An options model for electric power markets

3. Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms

4. OngsakulW JirapongP.Optimal allocation of facts devices to enhance total transfer capability using evolutionary programming.IEEE International Symposium on Circuits and Systems 2005. Kobe Japan: ISCAS 2005. IEEE;2005:4175‐4178.

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced power grid performance through Gorilla Troops Algorithm-guided thyristor controlled series capacitors allocation;Heliyon;2024-07

2. A review of FACTS device implementation in power systems using optimization techniques;Journal of Engineering and Applied Science;2024-01-18

3. Optimal Allocation of TCSC Devices in Transmission Power Systems by a Novel Adaptive Dwarf Mongoose Optimization;IEEE Access;2024

4. Enhancing Power System Performance via TCSC Technology Allocation With Enhanced Gradient-Based Optimization Algorithm;IEEE Access;2024

5. A novel meta-heuristic approach for optimal RPP using series compensated FACTS controller;Intelligent Systems with Applications;2023-05