Voltage stability index and APFC for performance improvement of modern power systems with intense renewables
In this study, a newly developed amalgam power flow controller (APFC) is used for better controllability and voltage stability enhancement of modern power system with deep renewable penetration. A new voltage stability index is proposed to determine the potential site of APFC and then Grey Wolf opti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-06-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9375 |
| _version_ | 1818350410770939904 |
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| author | Pradeep Singh Rajive Tiwari Mukesh Kumar Shah Khaleequr Rahman Niazi Nand Kishor Meena Saurabh Ratra |
| author_facet | Pradeep Singh Rajive Tiwari Mukesh Kumar Shah Khaleequr Rahman Niazi Nand Kishor Meena Saurabh Ratra |
| author_sort | Pradeep Singh |
| collection | DOAJ |
| description | In this study, a newly developed amalgam power flow controller (APFC) is used for better controllability and voltage stability enhancement of modern power system with deep renewable penetration. A new voltage stability index is proposed to determine the potential site of APFC and then Grey Wolf optimisation based on fuzzy logic is adopted to determine the optimal parameter settings of the APFC. A quarter cosine and exponential fuzzy membership function have been used to find out membership value of diverse objectives. The multi-objective problem is formulated considering three different objectives of conflicting nature. The proposed optimisation framework is implemented on an IEEE benchmark system of 30 buses for different cases. The comparison of simulation results reveals the effectiveness of the proposed model. |
| first_indexed | 2024-12-13T18:21:24Z |
| format | Article |
| id | doaj.art-0a5031a1e6ee40038153e8d79f2f2857 |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-13T18:21:24Z |
| publishDate | 2019-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-0a5031a1e6ee40038153e8d79f2f28572022-12-21T23:35:42ZengWileyThe Journal of Engineering2051-33052019-06-0110.1049/joe.2018.9375JOE.2018.9375Voltage stability index and APFC for performance improvement of modern power systems with intense renewablesPradeep Singh0Rajive Tiwari1Mukesh Kumar Shah2Khaleequr Rahman Niazi3Nand Kishor Meena4Saurabh Ratra5Malaviya National Institute of TechnologyMalaviya National Institute of TechnologyMalaviya National Institute of TechnologyMalaviya National Institute of TechnologyGovernment Women Engineering CollegeMalaviya National Institute of TechnologyIn this study, a newly developed amalgam power flow controller (APFC) is used for better controllability and voltage stability enhancement of modern power system with deep renewable penetration. A new voltage stability index is proposed to determine the potential site of APFC and then Grey Wolf optimisation based on fuzzy logic is adopted to determine the optimal parameter settings of the APFC. A quarter cosine and exponential fuzzy membership function have been used to find out membership value of diverse objectives. The multi-objective problem is formulated considering three different objectives of conflicting nature. The proposed optimisation framework is implemented on an IEEE benchmark system of 30 buses for different cases. The comparison of simulation results reveals the effectiveness of the proposed model.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9375optimisationfuzzy set theoryfuzzy logicload flow controlpower system stabilityvoltage stability indexapfcperformance improvementmodern power systemintense renewablesnewly developed amalgam power flow controllercontrollabilityvoltage stability enhancementdeep renewable penetrationgrey wolf optimisationfuzzy logicoptimal parameter settingsexponential fuzzy membership functionmultiobjective problemieee benchmark system |
| spellingShingle | Pradeep Singh Rajive Tiwari Mukesh Kumar Shah Khaleequr Rahman Niazi Nand Kishor Meena Saurabh Ratra Voltage stability index and APFC for performance improvement of modern power systems with intense renewables The Journal of Engineering optimisation fuzzy set theory fuzzy logic load flow control power system stability voltage stability index apfc performance improvement modern power system intense renewables newly developed amalgam power flow controller controllability voltage stability enhancement deep renewable penetration grey wolf optimisation fuzzy logic optimal parameter settings exponential fuzzy membership function multiobjective problem ieee benchmark system |
| title | Voltage stability index and APFC for performance improvement of modern power systems with intense renewables |
| title_full | Voltage stability index and APFC for performance improvement of modern power systems with intense renewables |
| title_fullStr | Voltage stability index and APFC for performance improvement of modern power systems with intense renewables |
| title_full_unstemmed | Voltage stability index and APFC for performance improvement of modern power systems with intense renewables |
| title_short | Voltage stability index and APFC for performance improvement of modern power systems with intense renewables |
| title_sort | voltage stability index and apfc for performance improvement of modern power systems with intense renewables |
| topic | optimisation fuzzy set theory fuzzy logic load flow control power system stability voltage stability index apfc performance improvement modern power system intense renewables newly developed amalgam power flow controller controllability voltage stability enhancement deep renewable penetration grey wolf optimisation fuzzy logic optimal parameter settings exponential fuzzy membership function multiobjective problem ieee benchmark system |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9375 |
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