Solution of optimal power flow using nondominated sorting multi objective gravitational search algorithm
• OPF by NSMOGSA is developed and implemented on IEEE 30-bus power system. • NSMOGSA uses nondominated sorting idea to update the gravitational acceleration. • The performance of NSMOGSA is tested on standard benchmark functions. • The performance of NSMOGSA is compared with other optimization techn...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bhowmik, Arup Ratan [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
Active power loss minimization Bus voltage deviation minimization Multi objective nondominated sorting gravitational search algorithm |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Synthesis and characterization of AsO[(W,Mo)O - Goudjil, Meriem ELSEVIER, 2023, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:62 ; year:2014 ; pages:323-334 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ijepes.2014.04.053 |
|---|
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ELV022415505 |
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| 520 | |a • OPF by NSMOGSA is developed and implemented on IEEE 30-bus power system. • NSMOGSA uses nondominated sorting idea to update the gravitational acceleration. • The performance of NSMOGSA is tested on standard benchmark functions. • The performance of NSMOGSA is compared with other optimization techniques. • The NSMOGSA outperforms other techniques in terms of the quality of solution. | ||
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• OPF by NSMOGSA is developed and implemented on IEEE 30-bus power system. • NSMOGSA uses nondominated sorting idea to update the gravitational acceleration. • The performance of NSMOGSA is tested on standard benchmark functions. • The performance of NSMOGSA is compared with other optimization techniques. • The NSMOGSA outperforms other techniques in terms of the quality of solution. |
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• OPF by NSMOGSA is developed and implemented on IEEE 30-bus power system. • NSMOGSA uses nondominated sorting idea to update the gravitational acceleration. • The performance of NSMOGSA is tested on standard benchmark functions. • The performance of NSMOGSA is compared with other optimization techniques. • The NSMOGSA outperforms other techniques in terms of the quality of solution. |
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• OPF by NSMOGSA is developed and implemented on IEEE 30-bus power system. • NSMOGSA uses nondominated sorting idea to update the gravitational acceleration. • The performance of NSMOGSA is tested on standard benchmark functions. • The performance of NSMOGSA is compared with other optimization techniques. • The NSMOGSA outperforms other techniques in terms of the quality of solution. |
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