Chaos Embedded Symbiotic Organisms Search Technique for Optimal FACTS Device Allocation for Voltage Profile and Security Improvement

Due to the ever-increasing energy demand, power system operators have attempted to cope with these demands while keeping the power system remain operable. Economic constraints have forced the power system operator to abandon their effort in expanding the power system. The increased load demand can c...

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Prif Awduron: Khairuzzaman Mohamad Zamani, Mohamad (Awdur), Musirin, Ismail (Awdur), Izwan Suliman, Saiful (Awdur), Bouktir, Tarek (Awdur)
Fformat: EJournal Article
Cyhoeddwyd: Institute of Advanced Engineering and Science, 2017-10-01.
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LEADER 03049 am a22003253u 4500
001 ijeecs9741_7603
042 |a dc 
100 1 0 |a Khairuzzaman Mohamad Zamani, Mohamad  |e author 
100 1 0 |e contributor 
700 1 0 |a Musirin, Ismail  |e author 
700 1 0 |a Izwan Suliman, Saiful  |e author 
700 1 0 |a Bouktir, Tarek  |e author 
245 0 0 |a Chaos Embedded Symbiotic Organisms Search Technique for Optimal FACTS Device Allocation for Voltage Profile and Security Improvement 
260 |b Institute of Advanced Engineering and Science,   |c 2017-10-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/9741 
520 |a Due to the ever-increasing energy demand, power system operators have attempted to cope with these demands while keeping the power system remain operable. Economic constraints have forced the power system operator to abandon their effort in expanding the power system. The increased load demand can cause the power system to suffer from voltage instability and voltage collapse, especially during contingency condition. Hence, a strategy is required to maintain the steady state operation of a power system. Various research has been conducted to tackle this problem. Therefore, this paper presents the implementation of Chaos Embedded Symbiotic Organisms Search technique to solve optimal FACTS device allocation problem in power transmission system. Various practical constraints are also considered in the optimisation process to emulate the real-life constraints in power system. The optimisation process is conducted on a 26-bus IEEE RTS has validated that the results obtained has not violated the power system stability. The results provided by the proposed optimisation technique has successfully improved the voltage profile and voltage security in the system. Comparative studies are also conducted involving Particle Swarm Optimization and Evolutionary Programming technique resulting good results agreement and superiority of the proposed technique. Results obtained from this study would be beneficial to the power system operators regarding optimisation in power system operation for the implementation in real power transmission network. 
540 |a Copyright (c) 2017 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690
690 |a Chaos Embedded Symbiotic Organisms Search, Static VAr Compensator, Thyristor Controlled Series Compensator, Voltage Deviation Index, Fast Voltage Stability Index 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 8, No 1: October 2017; 146-153 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v8.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/9741/7603 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/9741/7603  |z Get fulltext