Comparative analysis of economic load dispatch using evolutionary and nature based algorithms
Economic load dispatch problem involves various equality and inequality constraints which makes it complex. This paper presents a comparative study between Particle swarm optimization and Gravitational search algorithm to analyze the Economic load dispatch problem for three and six unit system. The...
Saved in:
| Published in | 2017 International Conference on Power and Embedded Drive Control (ICPEDC) pp. 296 - 300 |
|---|---|
| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.03.2017
|
| Subjects | |
| Online Access | Get full text |
| DOI | 10.1109/ICPEDC.2017.8081104 |
Cover
| Abstract | Economic load dispatch problem involves various equality and inequality constraints which makes it complex. This paper presents a comparative study between Particle swarm optimization and Gravitational search algorithm to analyze the Economic load dispatch problem for three and six unit system. The role of heuristic optimization methods in solving the economic load dispatch problem has been highlighted in this paper. Recently, researchers are paying more attention towards these heuristic optimization methods techniques to solve Economic Load Dispatch problem in order to find out optimal scheduling while meeting the transmission and operation constraints. Comparison have been made in terms of robustness and optimal search behavior. |
|---|---|
| AbstractList | Economic load dispatch problem involves various equality and inequality constraints which makes it complex. This paper presents a comparative study between Particle swarm optimization and Gravitational search algorithm to analyze the Economic load dispatch problem for three and six unit system. The role of heuristic optimization methods in solving the economic load dispatch problem has been highlighted in this paper. Recently, researchers are paying more attention towards these heuristic optimization methods techniques to solve Economic Load Dispatch problem in order to find out optimal scheduling while meeting the transmission and operation constraints. Comparison have been made in terms of robustness and optimal search behavior. |
| Author | Vadhera, Shelly Sharma, Apratim |
| Author_xml | – sequence: 1 givenname: Apratim surname: Sharma fullname: Sharma, Apratim email: apratim25@gmail.com organization: Dept. of Electr. Eng., NIT Kurukshetra, Kurukshetra, India – sequence: 2 givenname: Shelly surname: Vadhera fullname: Vadhera, Shelly organization: Dept. of Electr. Eng., NIT Kurukshetra, Kurukshetra, India |
| BookMark | eNotj0FqwzAURFVoF03aE2SjC9iVbMu2lsVN20AgXWRbwpf0lQhsyVhyILevoVkNDLzhzYo8-uCRkA1nOedMvu26n-1HlxeMN3nL2qWrHsiKCyZZVTeyfSa_XRhGmCC5K1Lw0N-iizRYijr4MDhN-wCGGhdHSPpC5-j8meI19HNywcN0WyhDPaR5QqogoqHQn8Pk0mWIL-TJQh_x9Z5rcvzcHrvvbH_42nXv-8xJljIuVIXC1o2SlS2ELeq2Zg0rjZFFWUgjSgOgtbKS1ZaLSpsGheat0hw4KlmuyeZ_1iHiaZzcsHid7ofLP02yUlA |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/ICPEDC.2017.8081104 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) (F) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics |
| EISBN | 1509046798 9781509046799 |
| EndPage | 300 |
| ExternalDocumentID | 8081104 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i90t-15b4e5f67b94f25f26860703dd92329d53daaccbf906f154cd7e5c18bc1a1eb93 |
| IEDL.DBID | RIE |
| IngestDate | Thu Jun 29 18:37:13 EDT 2023 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i90t-15b4e5f67b94f25f26860703dd92329d53daaccbf906f154cd7e5c18bc1a1eb93 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_8081104 |
| PublicationCentury | 2000 |
| PublicationDate | 2017-March |
| PublicationDateYYYYMMDD | 2017-03-01 |
| PublicationDate_xml | – month: 03 year: 2017 text: 2017-March |
| PublicationDecade | 2010 |
| PublicationTitle | 2017 International Conference on Power and Embedded Drive Control (ICPEDC) |
| PublicationTitleAbbrev | ICPEDC |
| PublicationYear | 2017 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.6519603 |
| Snippet | Economic load dispatch problem involves various equality and inequality constraints which makes it complex. This paper presents a comparative study between... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 296 |
| SubjectTerms | Convergence Economic Load Dispatch Economics Fuels Generators Gravitational Search Algorithm Optimization methods Particle Swarm Optimization Sociology |
| Title | Comparative analysis of economic load dispatch using evolutionary and nature based algorithms |
| URI | https://ieeexplore.ieee.org/document/8081104 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PT8MgFCZzFz35YzP-DgePtittoXCuW6aJZoeZ7GIW4MFcnKvZOhP96y1tt0XjwRshEAgP-F7ge99D6DrkYHREE88yoF4MgfFkJIwXxrxA56LIVEmQfWT9p_h-REcNdLOJhTHGlOQz47ti-ZcPmV65p7KOyxJBnPjnTsJZFatVCwmRQHTu0kH3NnVsrcSvW_5ImVIiRm8fPazHqogir_4qV77--iXD-N_JHKD2NjYPDzaoc4gaZn6EdtfxxcsWek63gt5Y1pojOLPY1G3wLJOAYVrcJYXJsGO-T7D5qPegXHwWvQBXip_YoRxgOZtki2n-8rZso2GvO0z7Xp1EwZuKIPcIVbGhliVKxDakNmScuVMOUHh2oQAagZRaKysCZgt3SkNiqCZcaSKJUSI6Rs15NjcnCEcgArChpVKrmAETWgdAiOSSMG4FP0Utt0rj90omY1wv0Nnf1edoz1mqonNdoGa-WJnLAt9zdVUa9hteaKnI |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3NT8MgFCdmHvTk14zfcvBoa2mBlnPdsvmx7DATL2YBHszFuZqtM9G_3tJ2LhoP3giBQHjA7wV-7_cQuggTMDpisWc5MI9CYDwZCeOFNCnQuShyVRJke7zzQG8e2eMauvyOhTHGlOQz47ti-ZcPmV64p7IrlyWCOPHPdUYpZVW0Vi0lRAJx1U37revU8bViv277I2lKiRntLXS_HK2iirz4i1z5-vOXEON_p7ONmqvoPNz_xp0dtGamu2hjGWE830NP6UrSG8tadQRnFpu6DZ5kEjCMi9ukMBp23PcRNu_1LpSzj6IX4ErzEzucAywno2w2zp9f5000aLcGacer0yh4YxHkHmGKGmZ5rAS1IbMhT7g75wCFbxcKYBFIqbWyIuC2cKg0xIZpkihNJDFKRPuoMc2m5gDhCEQANrRMakU5cKF1AITIRBKeWJEcoj23SsO3SihjWC_Q0d_V52ijM7i_G951e7fHaNNZrSJ3naBGPluY0wLtc3VWGvkLbIGtFQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2017+International+Conference+on+Power+and+Embedded+Drive+Control+%28ICPEDC%29&rft.atitle=Comparative+analysis+of+economic+load+dispatch+using+evolutionary+and+nature+based+algorithms&rft.au=Sharma%2C+Apratim&rft.au=Vadhera%2C+Shelly&rft.date=2017-03-01&rft.pub=IEEE&rft.spage=296&rft.epage=300&rft_id=info:doi/10.1109%2FICPEDC.2017.8081104&rft.externalDocID=8081104 |